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<span id="api"></span><h1><span class="yiyi-st" id="yiyi-1104">API参考</span></h1>
<blockquote>
<p>原文：<a href="http://pandas.pydata.org/pandas-docs/stable/api.html">http://pandas.pydata.org/pandas-docs/stable/api.html</a></p>
<p>译者：<a href="https://github.com/wizardforcel">飞龙</a> <a href="http://usyiyi.cn/">UsyiyiCN</a></p>
<p>校对：（虚位以待）</p>
</blockquote>
<div class="section" id="input-output">
<span id="api-functions"></span><h2><span class="yiyi-st" id="yiyi-1105">输入//输出</span></h2>
<div class="section" id="pickling">
<h3><span class="yiyi-st" id="yiyi-1106">清洗</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1107"><a class="reference internal" href="generated/pandas.read_pickle.html#pandas.read_pickle" title="pandas.read_pickle"><code class="xref py py-obj docutils literal"><span class="pre">read_pickle</span></code></a>（path）</span></td>
<td><span class="yiyi-st" id="yiyi-1108">从指定的加载pickled pandas对象（或任何其他pickled对象）</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="flat-file">
<h3><span class="yiyi-st" id="yiyi-1109">Flat File</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1110"><a class="reference internal" href="generated/pandas.read_table.html#pandas.read_table" title="pandas.read_table"><code class="xref py py-obj docutils literal"><span class="pre">read_table</span></code></a>（filepath_or_buffer [，sep，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1111">将一般分隔文件读入DataFrame</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1112"><a class="reference internal" href="generated/pandas.read_csv.html#pandas.read_csv" title="pandas.read_csv"><code class="xref py py-obj docutils literal"><span class="pre">read_csv</span></code></a>（filepath_or_buffer [，sep，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1113">将CSV（逗号分隔）文件读入DataFrame</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1114"><a class="reference internal" href="generated/pandas.read_fwf.html#pandas.read_fwf" title="pandas.read_fwf"><code class="xref py py-obj docutils literal"><span class="pre">read_fwf</span></code></a>（filepath_or_buffer [，colspecs，width]）</span></td>
<td><span class="yiyi-st" id="yiyi-1115">将固定宽度格式的行的表读入DataFrame</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1116"><a class="reference internal" href="generated/pandas.read_msgpack.html#pandas.read_msgpack" title="pandas.read_msgpack"><code class="xref py py-obj docutils literal"><span class="pre">read_msgpack</span></code></a>（path_or_buf [，encoding，iterator]）</span></td>
<td><span class="yiyi-st" id="yiyi-1117">从指定的加载msgpack pandas对象</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="clipboard">
<h3><span class="yiyi-st" id="yiyi-1118">剪贴板</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1119"><a class="reference internal" href="generated/pandas.read_clipboard.html#pandas.read_clipboard" title="pandas.read_clipboard"><code class="xref py py-obj docutils literal"><span class="pre">read_clipboard</span></code></a>（\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1120">从剪贴板读取文本并传递给read_table。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="excel">
<h3><span class="yiyi-st" id="yiyi-1121">Excel</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1122"><a class="reference internal" href="generated/pandas.read_excel.html#pandas.read_excel" title="pandas.read_excel"><code class="xref py py-obj docutils literal"><span class="pre">read_excel</span></code></a>（io [，sheetname，headers，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1123">将Excel表读入pandas DataFrame</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1124"><a class="reference internal" href="generated/pandas.ExcelFile.parse.html#pandas.ExcelFile.parse" title="pandas.ExcelFile.parse"><code class="xref py py-obj docutils literal"><span class="pre">ExcelFile.parse</span></code></a>（[sheetname，header，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1125">将指定的工作表解析到DataFrame中</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="json">
<h3><span class="yiyi-st" id="yiyi-1126">JSON</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1127"><a class="reference internal" href="generated/pandas.read_json.html#pandas.read_json" title="pandas.read_json"><code class="xref py py-obj docutils literal"><span class="pre">read_json</span></code></a>（[path_or_buf，orient，typ，dtype，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1128">将JSON字符串转换为pandas对象</span></td>
</tr>
</tbody>
</table>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1129"><a class="reference internal" href="generated/pandas.io.json.json_normalize.html#pandas.io.json.json_normalize" title="pandas.io.json.json_normalize"><code class="xref py py-obj docutils literal"><span class="pre">json_normalize</span></code></a>（data [，record_path，meta，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1130">将规范化的半结构化JSON数据转换为平面表格</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="html">
<h3><span class="yiyi-st" id="yiyi-1131">HTML</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1132"><a class="reference internal" href="generated/pandas.read_html.html#pandas.read_html" title="pandas.read_html"><code class="xref py py-obj docutils literal"><span class="pre">read_html</span></code></a>（io [，match，flavor，header，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1133">将HTML表格读入<code class="docutils literal"><span class="pre">DataFrame</span></code>对象的<code class="docutils literal"><span class="pre">list</span></code>。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="hdfstore-pytables-hdf5">
<h3><span class="yiyi-st" id="yiyi-1134">HDFStore: PyTables (HDF5)</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1135"><a class="reference internal" href="generated/pandas.read_hdf.html#pandas.read_hdf" title="pandas.read_hdf"><code class="xref py py-obj docutils literal"><span class="pre">read_hdf</span></code></a>（path_or_buf [，key]）</span></td>
<td><span class="yiyi-st" id="yiyi-1136">从商店读取，如果我们打开它关闭它</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1137"><a class="reference internal" href="generated/pandas.HDFStore.put.html#pandas.HDFStore.put" title="pandas.HDFStore.put"><code class="xref py py-obj docutils literal"><span class="pre">HDFStore.put</span></code></a>（key，value [，format，append]）</span></td>
<td><span class="yiyi-st" id="yiyi-1138">将对象存储在HDFStore中</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1139"><a class="reference internal" href="generated/pandas.HDFStore.append.html#pandas.HDFStore.append" title="pandas.HDFStore.append"><code class="xref py py-obj docutils literal"><span class="pre">HDFStore.append</span></code></a>（key，value [，format，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1140">附加到文件中的表。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1141"><a class="reference internal" href="generated/pandas.HDFStore.get.html#pandas.HDFStore.get" title="pandas.HDFStore.get"><code class="xref py py-obj docutils literal"><span class="pre">HDFStore.get</span></code></a>（key）</span></td>
<td><span class="yiyi-st" id="yiyi-1142">检索存储在文件中的pandas对象</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1143"><a class="reference internal" href="generated/pandas.HDFStore.select.html#pandas.HDFStore.select" title="pandas.HDFStore.select"><code class="xref py py-obj docutils literal"><span class="pre">HDFStore.select</span></code></a>（键[，其中，start，stop，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1144">检索存储在文件中的pandas对象，可选地基于where</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="sas">
<h3><span class="yiyi-st" id="yiyi-1145">SAS</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1146"><a class="reference internal" href="generated/pandas.read_sas.html#pandas.read_sas" title="pandas.read_sas"><code class="xref py py-obj docutils literal"><span class="pre">read_sas</span></code></a>（filepath_or_buffer [，format，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1147">读取以XPORT或SAS7BDAT格式文件存储的SAS文件。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="sql">
<h3><span class="yiyi-st" id="yiyi-1148">SQL</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1149"><a class="reference internal" href="generated/pandas.read_sql_table.html#pandas.read_sql_table" title="pandas.read_sql_table"><code class="xref py py-obj docutils literal"><span class="pre">read_sql_table</span></code></a>（table_name，con [，schema，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1150">将SQL数据库表读入DataFrame。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1151"><a class="reference internal" href="generated/pandas.read_sql_query.html#pandas.read_sql_query" title="pandas.read_sql_query"><code class="xref py py-obj docutils literal"><span class="pre">read_sql_query</span></code></a>（sql，con [，index_col，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1152">将SQL查询读入DataFrame。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1153"><a class="reference internal" href="generated/pandas.read_sql.html#pandas.read_sql" title="pandas.read_sql"><code class="xref py py-obj docutils literal"><span class="pre">read_sql</span></code></a>（sql，con [，index_col，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1154">将SQL查询或数据库表读入DataFrame。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="google-bigquery">
<h3><span class="yiyi-st" id="yiyi-1155">Google BigQuery</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1156"><a class="reference internal" href="generated/pandas.io.gbq.read_gbq.html#pandas.io.gbq.read_gbq" title="pandas.io.gbq.read_gbq"><code class="xref py py-obj docutils literal"><span class="pre">read_gbq</span></code></a>（query [，project_id，index_col，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1157">从Google BigQuery载入数据。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1158"><a class="reference internal" href="generated/pandas.io.gbq.to_gbq.html#pandas.io.gbq.to_gbq" title="pandas.io.gbq.to_gbq"><code class="xref py py-obj docutils literal"><span class="pre">to_gbq</span></code></a>（dataframe，destination_table，project_id）</span></td>
<td><span class="yiyi-st" id="yiyi-1159">将DataFrame写入Google BigQuery表格。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="stata">
<h3><span class="yiyi-st" id="yiyi-1160">STATA</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1161"><a class="reference internal" href="generated/pandas.read_stata.html#pandas.read_stata" title="pandas.read_stata"><code class="xref py py-obj docutils literal"><span class="pre">read_stata</span></code></a>（filepath_or_buffer [，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1162">将Stata文件读入DataFrame</span></td>
</tr>
</tbody>
</table>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1163"><a class="reference internal" href="generated/pandas.io.stata.StataReader.data.html#pandas.io.stata.StataReader.data" title="pandas.io.stata.StataReader.data"><code class="xref py py-obj docutils literal"><span class="pre">StataReader.data</span></code></a>（\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1164">DEPRECATED：从Stata文件读取观察结果，将它们转换为数据帧</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1165"><a class="reference internal" href="generated/pandas.io.stata.StataReader.data_label.html#pandas.io.stata.StataReader.data_label" title="pandas.io.stata.StataReader.data_label"><code class="xref py py-obj docutils literal"><span class="pre">StataReader.data_label</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1166">返回Stata文件的数据标签</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1167"><a class="reference internal" href="generated/pandas.io.stata.StataReader.value_labels.html#pandas.io.stata.StataReader.value_labels" title="pandas.io.stata.StataReader.value_labels"><code class="xref py py-obj docutils literal"><span class="pre">StataReader.value_labels</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1168">返回一个dict，关联每个变量名称一个dict，关联</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1169"><a class="reference internal" href="generated/pandas.io.stata.StataReader.variable_labels.html#pandas.io.stata.StataReader.variable_labels" title="pandas.io.stata.StataReader.variable_labels"><code class="xref py py-obj docutils literal"><span class="pre">StataReader.variable_labels</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1170">返回变量标签作为dict，关联每个变量名</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1171"><a class="reference internal" href="generated/pandas.io.stata.StataWriter.write_file.html#pandas.io.stata.StataWriter.write_file" title="pandas.io.stata.StataWriter.write_file"><code class="xref py py-obj docutils literal"><span class="pre">StataWriter.write_file</span></code></a>()</span></td>
<td></td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="general-functions">
<h2><span class="yiyi-st" id="yiyi-1172">一般函数</span></h2>
<div class="section" id="data-manipulations">
<h3><span class="yiyi-st" id="yiyi-1173">数据操作</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1174"><a class="reference internal" href="generated/pandas.melt.html#pandas.melt" title="pandas.melt"><code class="xref py py-obj docutils literal"><span class="pre">melt</span></code></a>（frame [，id_vars，value_vars，var_name，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1175">将DataFrame从宽格式“不透明”为长格式，可选择离开</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1176"><a class="reference internal" href="generated/pandas.pivot.html#pandas.pivot" title="pandas.pivot"><code class="xref py py-obj docutils literal"><span class="pre">pivot</span></code></a>（索引，列，值）</span></td>
<td><span class="yiyi-st" id="yiyi-1177">基于此DataFrame的3列生成'pivot'表。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1178"><a class="reference internal" href="generated/pandas.pivot_table.html#pandas.pivot_table" title="pandas.pivot_table"><code class="xref py py-obj docutils literal"><span class="pre">pivot_table</span></code></a>（data [，values，index，columns，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1179">创建一个电子表格样式的数据透视表作为DataFrame。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1180"><a class="reference internal" href="generated/pandas.crosstab.html#pandas.crosstab" title="pandas.crosstab"><code class="xref py py-obj docutils literal"><span class="pre">crosstab</span></code></a>（索引，列[，values，rownames，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1181">计算两个（或更多）因子的简单交叉列表。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1182"><a class="reference internal" href="generated/pandas.cut.html#pandas.cut" title="pandas.cut"><code class="xref py py-obj docutils literal"><span class="pre">cut</span></code></a>（x，bins [，right，labels，retbins，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1183"><cite>x</cite>的每个值所属的半开箱的返回索引。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1184"><a class="reference internal" href="generated/pandas.qcut.html#pandas.qcut" title="pandas.qcut"><code class="xref py py-obj docutils literal"><span class="pre">qcut</span></code></a>（x，q [，labels，retbins，precision]）</span></td>
<td><span class="yiyi-st" id="yiyi-1185">基于分位数的离散化函数。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1186"><a class="reference internal" href="generated/pandas.merge.html#pandas.merge" title="pandas.merge"><code class="xref py py-obj docutils literal"><span class="pre">merge</span></code></a>（left，right [，how，on，left_on，...]</span></td>
<td><span class="yiyi-st" id="yiyi-1187">通过按列或索引执行数据库样式的连接操作来合并DataFrame对象。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1188"><a class="reference internal" href="generated/pandas.merge_ordered.html#pandas.merge_ordered" title="pandas.merge_ordered"><code class="xref py py-obj docutils literal"><span class="pre">merge_ordered</span></code></a>（left，right [，on，left_on，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1189">执行与为时序数据等有序数据设计的可选填充/插值合并。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1190"><a class="reference internal" href="generated/pandas.merge_asof.html#pandas.merge_asof" title="pandas.merge_asof"><code class="xref py py-obj docutils literal"><span class="pre">merge_asof</span></code></a>（left，right [，on，left_on，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1191">执行asof合并。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1192"><a class="reference internal" href="generated/pandas.concat.html#pandas.concat" title="pandas.concat"><code class="xref py py-obj docutils literal"><span class="pre">concat</span></code></a>（objs [，axis，join，join_axes，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1193">沿着特定轴连接pandas对象，沿着其他轴连接可选的设置逻辑。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1194"><a class="reference internal" href="generated/pandas.get_dummies.html#pandas.get_dummies" title="pandas.get_dummies"><code class="xref py py-obj docutils literal"><span class="pre">get_dummies</span></code></a>（data [，prefix，prefix_sep，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1195">将分类变量转换为虚拟/指示符变量</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1196"><a class="reference internal" href="generated/pandas.factorize.html#pandas.factorize" title="pandas.factorize"><code class="xref py py-obj docutils literal"><span class="pre">factorize</span></code></a>（values [，sort，order，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1197">将输入值编码为枚举类型或类别变量</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="top-level-missing-data">
<h3><span class="yiyi-st" id="yiyi-1198">顶级缺失数据</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1199"><a class="reference internal" href="generated/pandas.isnull.html#pandas.isnull" title="pandas.isnull"><code class="xref py py-obj docutils literal"><span class="pre">isnull</span></code></a>（obj）</span></td>
<td><span class="yiyi-st" id="yiyi-1200">检测缺失值（数值数组中的NaN，对象数组中的无/ NaN）</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1201"><a class="reference internal" href="generated/pandas.notnull.html#pandas.notnull" title="pandas.notnull"><code class="xref py py-obj docutils literal"><span class="pre">notnull</span></code></a>（obj）</span></td>
<td><span class="yiyi-st" id="yiyi-1202">替换适用于对象数组的numpy.isfinite / -numpy.isnan。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="top-level-conversions">
<h3><span class="yiyi-st" id="yiyi-1203">顶级转换</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1204"><a class="reference internal" href="generated/pandas.to_numeric.html#pandas.to_numeric" title="pandas.to_numeric"><code class="xref py py-obj docutils literal"><span class="pre">to_numeric</span></code></a>（arg [，errors，downcast]）</span></td>
<td><span class="yiyi-st" id="yiyi-1205">将参数转换为数字类型。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="top-level-dealing-with-datetimelike">
<h3><span class="yiyi-st" id="yiyi-1206">顶级处理datetimelike </span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1207"><a class="reference internal" href="generated/pandas.to_datetime.html#pandas.to_datetime" title="pandas.to_datetime"><code class="xref py py-obj docutils literal"><span class="pre">to_datetime</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1208">将参数转换为datetime。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1209"><a class="reference internal" href="generated/pandas.to_timedelta.html#pandas.to_timedelta" title="pandas.to_timedelta"><code class="xref py py-obj docutils literal"><span class="pre">to_timedelta</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1210">将参数转换为timedelta</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1211"><a class="reference internal" href="generated/pandas.date_range.html#pandas.date_range" title="pandas.date_range"><code class="xref py py-obj docutils literal"><span class="pre">date_range</span></code></a>（[start，end，periods，freq，tz，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1212">返回固定频率日期时间索引，将日（日历）作为默认值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1213"><a class="reference internal" href="generated/pandas.bdate_range.html#pandas.bdate_range" title="pandas.bdate_range"><code class="xref py py-obj docutils literal"><span class="pre">bdate_range</span></code></a>（[start，end，periods，freq，tz，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1214">返回固定频率datetime索引，以工作日为默认值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1215"><a class="reference internal" href="generated/pandas.period_range.html#pandas.period_range" title="pandas.period_range"><code class="xref py py-obj docutils literal"><span class="pre">period_range</span></code></a>（[start，end，periods，freq，name]）</span></td>
<td><span class="yiyi-st" id="yiyi-1216">返回固定频率日期时间索引，将日（日历）作为默认值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1217"><a class="reference internal" href="generated/pandas.timedelta_range.html#pandas.timedelta_range" title="pandas.timedelta_range"><code class="xref py py-obj docutils literal"><span class="pre">timedelta_range</span></code></a>（[start，end，periods，freq，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1218">返回固定频率timedelta索引，以天为默认值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1219"><a class="reference internal" href="generated/pandas.infer_freq.html#pandas.infer_freq" title="pandas.infer_freq"><code class="xref py py-obj docutils literal"><span class="pre">infer_freq</span></code></a>（index [，warn]）</span></td>
<td><span class="yiyi-st" id="yiyi-1220">给定输入索引，推断最可能的频率。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="top-level-evaluation">
<h3><span class="yiyi-st" id="yiyi-1221">顶级评估</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1222"><a class="reference internal" href="generated/pandas.eval.html#pandas.eval" title="pandas.eval"><code class="xref py py-obj docutils literal"><span class="pre">eval</span></code></a>（expr [，parser，engine，truediv，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1223">使用各种后端将Python表达式评估为字符串。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="testing">
<h3><span class="yiyi-st" id="yiyi-1224">测试</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1225"><a class="reference internal" href="generated/pandas.test.html#pandas.test" title="pandas.test"><code class="xref py py-obj docutils literal"><span class="pre">test</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1226">使用鼻子运行模块的测试。</span></td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="section" id="series">
<span id="api-series"></span><h2><span class="yiyi-st" id="yiyi-1227">系列</span></h2>
<div class="section" id="constructor">
<h3><span class="yiyi-st" id="yiyi-1228">构造</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1229"><a class="reference internal" href="generated/pandas.Series.html#pandas.Series" title="pandas.Series"><code class="xref py py-obj docutils literal"><span class="pre">Series</span></code></a>（[data，index，dtype，name，copy，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1230">带轴标签的一维参考线（包括时间序列）。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="attributes">
<h3><span class="yiyi-st" id="yiyi-1231">属性</span></h3>
<dl class="docutils">
<dt><span class="yiyi-st" id="yiyi-1232"><strong>轴</strong></span></dt>
<dd><ul class="first last simple">
<li><span class="yiyi-st" id="yiyi-1233"><strong>索引</strong>：轴标签</span></li>
</ul>
</dd>
</dl>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1234"><a class="reference internal" href="generated/pandas.Series.values.html#pandas.Series.values" title="pandas.Series.values"><code class="xref py py-obj docutils literal"><span class="pre">Series.values</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1235">返回系列为ndarray或ndarray样</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1236"><a class="reference internal" href="generated/pandas.Series.dtype.html#pandas.Series.dtype" title="pandas.Series.dtype"><code class="xref py py-obj docutils literal"><span class="pre">Series.dtype</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1237">返回底层数据的dtype对象</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1238"><a class="reference internal" href="generated/pandas.Series.ftype.html#pandas.Series.ftype" title="pandas.Series.ftype"><code class="xref py py-obj docutils literal"><span class="pre">Series.ftype</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1239">返回如果数据稀疏|密集</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1240"><a class="reference internal" href="generated/pandas.Series.shape.html#pandas.Series.shape" title="pandas.Series.shape"><code class="xref py py-obj docutils literal"><span class="pre">Series.shape</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1241">返回基础数据的形状的元组</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1242"><a class="reference internal" href="generated/pandas.Series.nbytes.html#pandas.Series.nbytes" title="pandas.Series.nbytes"><code class="xref py py-obj docutils literal"><span class="pre">Series.nbytes</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1243">返回底层数据中的字节数</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1244"><a class="reference internal" href="generated/pandas.Series.ndim.html#pandas.Series.ndim" title="pandas.Series.ndim"><code class="xref py py-obj docutils literal"><span class="pre">Series.ndim</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1245">返回底层数据的维数，</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1246"><a class="reference internal" href="generated/pandas.Series.size.html#pandas.Series.size" title="pandas.Series.size"><code class="xref py py-obj docutils literal"><span class="pre">Series.size</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1247">返回底层数据中的元素数量</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1248"><a class="reference internal" href="generated/pandas.Series.strides.html#pandas.Series.strides" title="pandas.Series.strides"><code class="xref py py-obj docutils literal"><span class="pre">Series.strides</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1249">返回基础数据的步幅</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1250"><a class="reference internal" href="generated/pandas.Series.itemsize.html#pandas.Series.itemsize" title="pandas.Series.itemsize"><code class="xref py py-obj docutils literal"><span class="pre">Series.itemsize</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1251">返回底层数据项的dtype的大小</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1252"><a class="reference internal" href="generated/pandas.Series.base.html#pandas.Series.base" title="pandas.Series.base"><code class="xref py py-obj docutils literal"><span class="pre">Series.base</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1253">如果基础数据的内存是，则返回基础对象</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1254"><a class="reference internal" href="generated/pandas.Series.T.html#pandas.Series.T" title="pandas.Series.T"><code class="xref py py-obj docutils literal"><span class="pre">Series.T</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1255">返回转置，这是通过定义self</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1256"><a class="reference internal" href="generated/pandas.Series.memory_usage.html#pandas.Series.memory_usage" title="pandas.Series.memory_usage"><code class="xref py py-obj docutils literal"><span class="pre">Series.memory_usage</span></code></a>（[index，deep]）</span></td>
<td><span class="yiyi-st" id="yiyi-1257">系列的内存使用情况</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="conversion">
<h3><span class="yiyi-st" id="yiyi-1258">转换</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1259"><a class="reference internal" href="generated/pandas.Series.astype.html#pandas.Series.astype" title="pandas.Series.astype"><code class="xref py py-obj docutils literal"><span class="pre">Series.astype</span></code></a>（dtype [，copy，raise_on_error]）</span></td>
<td><span class="yiyi-st" id="yiyi-1260">投射对象以输入numpy.dtype</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1261"><a class="reference internal" href="generated/pandas.Series.copy.html#pandas.Series.copy" title="pandas.Series.copy"><code class="xref py py-obj docutils literal"><span class="pre">Series.copy</span></code></a>（[deep]）</span></td>
<td><span class="yiyi-st" id="yiyi-1262">复制此对象数据。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1263"><a class="reference internal" href="generated/pandas.Series.isnull.html#pandas.Series.isnull" title="pandas.Series.isnull"><code class="xref py py-obj docutils literal"><span class="pre">Series.isnull</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1264">返回一个布尔大小相同的对象，指示值是否为null。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1265"><a class="reference internal" href="generated/pandas.Series.notnull.html#pandas.Series.notnull" title="pandas.Series.notnull"><code class="xref py py-obj docutils literal"><span class="pre">Series.notnull</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1266">返回一个布尔大小相同的对象，指示这些值是否为空。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="indexing-iteration">
<h3><span class="yiyi-st" id="yiyi-1267">索引，迭代</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1268"><a class="reference internal" href="generated/pandas.Series.get.html#pandas.Series.get" title="pandas.Series.get"><code class="xref py py-obj docutils literal"><span class="pre">Series.get</span></code></a>（key [，default]）</span></td>
<td><span class="yiyi-st" id="yiyi-1269">从给定键的对象获取项目（DataFrame列，面板切片等</span><span class="yiyi-st" id="yiyi-1270">）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1271"><a class="reference internal" href="generated/pandas.Series.at.html#pandas.Series.at" title="pandas.Series.at"><code class="xref py py-obj docutils literal"><span class="pre">Series.at</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1272">基于快速标签的标量访问器</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1273"><a class="reference internal" href="generated/pandas.Series.iat.html#pandas.Series.iat" title="pandas.Series.iat"><code class="xref py py-obj docutils literal"><span class="pre">Series.iat</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1274">快速整数位置标量存取器。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1275"><a class="reference internal" href="generated/pandas.Series.ix.html#pandas.Series.ix" title="pandas.Series.ix"><code class="xref py py-obj docutils literal"><span class="pre">Series.ix</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1276">主要是基于标签位置的索引器，具有整数位置后备。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1277"><a class="reference internal" href="generated/pandas.Series.loc.html#pandas.Series.loc" title="pandas.Series.loc"><code class="xref py py-obj docutils literal"><span class="pre">Series.loc</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1278">纯标签位置索引器，用于按标签选择。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1279"><a class="reference internal" href="generated/pandas.Series.iloc.html#pandas.Series.iloc" title="pandas.Series.iloc"><code class="xref py py-obj docutils literal"><span class="pre">Series.iloc</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1280">纯粹基于整数位置的索引，用于按位置选择。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1281"><a class="reference internal" href="generated/pandas.Series.__iter__.html#pandas.Series.__iter__" title="pandas.Series.__iter__"><code class="xref py py-obj docutils literal"><span class="pre">Series.__iter__</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1282">提供对系列的值的迭代</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1283"><a class="reference internal" href="generated/pandas.Series.iteritems.html#pandas.Series.iteritems" title="pandas.Series.iteritems"><code class="xref py py-obj docutils literal"><span class="pre">Series.iteritems</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1284">Lazily迭代（索引，值）元组</span></td>
</tr>
</tbody>
</table>
<p><span class="yiyi-st" id="yiyi-1285">有关<code class="docutils literal"><span class="pre">.at</span></code>，<code class="docutils literal"><span class="pre">.iat</span></code>，<code class="docutils literal"><span class="pre">.ix</span></code>，<code class="docutils literal"><span class="pre">.loc</span></code>和<code class="docutils literal"><span class="pre">.iloc</span></code>，请参阅<a class="reference internal" href="indexing.html#indexing"><span class="std std-ref">indexing documentation</span></a>。</span></p>
</div>
<div class="section" id="binary-operator-functions">
<h3><span class="yiyi-st" id="yiyi-1286">二进制运算符函数</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1287"><a class="reference internal" href="generated/pandas.Series.add.html#pandas.Series.add" title="pandas.Series.add"><code class="xref py py-obj docutils literal"><span class="pre">Series.add</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1288">添加系列和其他，元素方式（二元运算符<cite>add</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1289"><a class="reference internal" href="generated/pandas.Series.sub.html#pandas.Series.sub" title="pandas.Series.sub"><code class="xref py py-obj docutils literal"><span class="pre">Series.sub</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1290">减法系数和其他，元素方式（二元运算符<cite>子</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1291"><a class="reference internal" href="generated/pandas.Series.mul.html#pandas.Series.mul" title="pandas.Series.mul"><code class="xref py py-obj docutils literal"><span class="pre">Series.mul</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1292">系列和其他元素乘法（二元算符<cite>mul</cite>）的乘法。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1293"><a class="reference internal" href="generated/pandas.Series.div.html#pandas.Series.div" title="pandas.Series.div"><code class="xref py py-obj docutils literal"><span class="pre">Series.div</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1294">浮点除法的系列和其他，元素（二进制运算符<cite>truediv</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1295"><a class="reference internal" href="generated/pandas.Series.truediv.html#pandas.Series.truediv" title="pandas.Series.truediv"><code class="xref py py-obj docutils literal"><span class="pre">Series.truediv</span></code></a>（other [，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1296">浮点除法的系列和其他，元素（二进制运算符<cite>truediv</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1297"><a class="reference internal" href="generated/pandas.Series.floordiv.html#pandas.Series.floordiv" title="pandas.Series.floordiv"><code class="xref py py-obj docutils literal"><span class="pre">Series.floordiv</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1298">系列的整数除法和其他，元素方式（二元运算符<cite>floordiv</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1299"><a class="reference internal" href="generated/pandas.Series.mod.html#pandas.Series.mod" title="pandas.Series.mod"><code class="xref py py-obj docutils literal"><span class="pre">Series.mod</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1300">系列模和其他，元素方式（二元运算符<cite>mod</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1301"><a class="reference internal" href="generated/pandas.Series.pow.html#pandas.Series.pow" title="pandas.Series.pow"><code class="xref py py-obj docutils literal"><span class="pre">Series.pow</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1302">系数和其他元指数（二元运算符<cite>pow</cite>）的指数幂。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1303"><a class="reference internal" href="generated/pandas.Series.radd.html#pandas.Series.radd" title="pandas.Series.radd"><code class="xref py py-obj docutils literal"><span class="pre">Series.radd</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1304">添加系列和其他，元素方式（二元算符<cite>radd</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1305"><a class="reference internal" href="generated/pandas.Series.rsub.html#pandas.Series.rsub" title="pandas.Series.rsub"><code class="xref py py-obj docutils literal"><span class="pre">Series.rsub</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1306">减法系列和其他，元素方式（二元运算符<cite>rsub</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1307"><a class="reference internal" href="generated/pandas.Series.rmul.html#pandas.Series.rmul" title="pandas.Series.rmul"><code class="xref py py-obj docutils literal"><span class="pre">Series.rmul</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1308">系列和其他元素乘法（二元算符<cite>rmul</cite>）的乘法。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1309"><a class="reference internal" href="generated/pandas.Series.rdiv.html#pandas.Series.rdiv" title="pandas.Series.rdiv"><code class="xref py py-obj docutils literal"><span class="pre">Series.rdiv</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1310">浮点除法的系列和其他，元素（二进制运算符<cite>rtruediv</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1311"><a class="reference internal" href="generated/pandas.Series.rtruediv.html#pandas.Series.rtruediv" title="pandas.Series.rtruediv"><code class="xref py py-obj docutils literal"><span class="pre">Series.rtruediv</span></code></a>（other [，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1312">浮点除法的系列和其他，元素（二进制运算符<cite>rtruediv</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1313"><a class="reference internal" href="generated/pandas.Series.rfloordiv.html#pandas.Series.rfloordiv" title="pandas.Series.rfloordiv"><code class="xref py py-obj docutils literal"><span class="pre">Series.rfloordiv</span></code></a>（other [，level，fill_value，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1314">系列的整数除法和其他，元素方式（二元运算符<cite>rfloordiv</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1315"><a class="reference internal" href="generated/pandas.Series.rmod.html#pandas.Series.rmod" title="pandas.Series.rmod"><code class="xref py py-obj docutils literal"><span class="pre">Series.rmod</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1316">系列模和其他，元素方式（二元算符<cite>rmod</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1317"><a class="reference internal" href="generated/pandas.Series.rpow.html#pandas.Series.rpow" title="pandas.Series.rpow"><code class="xref py py-obj docutils literal"><span class="pre">Series.rpow</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1318">系列和其他元指数（二元运算符<cite>rpow</cite>）的指数幂。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1319"><a class="reference internal" href="generated/pandas.Series.combine.html#pandas.Series.combine" title="pandas.Series.combine"><code class="xref py py-obj docutils literal"><span class="pre">Series.combine</span></code></a>（other，func [，fill_value]）</span></td>
<td><span class="yiyi-st" id="yiyi-1320">对两个系列使用给定的函数执行元素二进制操作</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1321"><a class="reference internal" href="generated/pandas.Series.combine_first.html#pandas.Series.combine_first" title="pandas.Series.combine_first"><code class="xref py py-obj docutils literal"><span class="pre">Series.combine_first</span></code></a>（other）</span></td>
<td><span class="yiyi-st" id="yiyi-1322">组合系列值，首先选择调用系列的值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1323"><a class="reference internal" href="generated/pandas.Series.round.html#pandas.Series.round" title="pandas.Series.round"><code class="xref py py-obj docutils literal"><span class="pre">Series.round</span></code></a>（[小数]）</span></td>
<td><span class="yiyi-st" id="yiyi-1324">将系列中的每个值四舍五入为给定的小数位数。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1325"><a class="reference internal" href="generated/pandas.Series.lt.html#pandas.Series.lt" title="pandas.Series.lt"><code class="xref py py-obj docutils literal"><span class="pre">Series.lt</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1326">小于系列和其他，元素方式（二元运算符<cite>lt</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1327"><a class="reference internal" href="generated/pandas.Series.gt.html#pandas.Series.gt" title="pandas.Series.gt"><code class="xref py py-obj docutils literal"><span class="pre">Series.gt</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1328">大于系列和其他，元素方式（二元运算符<cite>gt</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1329"><a class="reference internal" href="generated/pandas.Series.le.html#pandas.Series.le" title="pandas.Series.le"><code class="xref py py-obj docutils literal"><span class="pre">Series.le</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1330">小于或等于系列和其他，元素方式（二元运算符<cite>le</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1331"><a class="reference internal" href="generated/pandas.Series.ge.html#pandas.Series.ge" title="pandas.Series.ge"><code class="xref py py-obj docutils literal"><span class="pre">Series.ge</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1332">大于或等于系列和其他，元素方式（二元运算符<cite>ge</cite>）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1333"><a class="reference internal" href="generated/pandas.Series.ne.html#pandas.Series.ne" title="pandas.Series.ne"><code class="xref py py-obj docutils literal"><span class="pre">Series.ne</span></code></a>（其他[，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1334">不等于系列和其他，元素方式（二元运算符<cite>ne</cite>）。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1335"><a class="reference internal" href="generated/pandas.Series.eq.html#pandas.Series.eq" title="pandas.Series.eq"><code class="xref py py-obj docutils literal"><span class="pre">Series.eq</span></code></a>（other [，level，fill_value，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1336">等于系列和其他，元素方式（二元运算符<cite>eq</cite>）。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="function-application-groupby-window">
<h3><span class="yiyi-st" id="yiyi-1337">功能应用，GroupBy & Window</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1338"><a class="reference internal" href="generated/pandas.Series.apply.html#pandas.Series.apply" title="pandas.Series.apply"><code class="xref py py-obj docutils literal"><span class="pre">Series.apply</span></code></a>（func [，convert_dtype，args]）</span></td>
<td><span class="yiyi-st" id="yiyi-1339">对Series的值调用函数。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1340"><a class="reference internal" href="generated/pandas.Series.map.html#pandas.Series.map" title="pandas.Series.map"><code class="xref py py-obj docutils literal"><span class="pre">Series.map</span></code></a>（arg [，na_action]）</span></td>
<td><span class="yiyi-st" id="yiyi-1341">使用输入对应关系（可以是</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1342"><a class="reference internal" href="generated/pandas.Series.groupby.html#pandas.Series.groupby" title="pandas.Series.groupby"><code class="xref py py-obj docutils literal"><span class="pre">Series.groupby</span></code></a>（[by，axis，level，as_index，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1343">使用mapper的组系列（dict或key函数，将给定函数应用于组，将结果返回为系列）或通过一系列列。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1344"><a class="reference internal" href="generated/pandas.Series.rolling.html#pandas.Series.rolling" title="pandas.Series.rolling"><code class="xref py py-obj docutils literal"><span class="pre">Series.rolling</span></code></a>（window [，min_periods，freq，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1345">提供滚动窗口计算。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1346"><a class="reference internal" href="generated/pandas.Series.expanding.html#pandas.Series.expanding" title="pandas.Series.expanding"><code class="xref py py-obj docutils literal"><span class="pre">Series.expanding</span></code></a>（[min_periods，freq，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1347">提供扩展转换。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1348"><a class="reference internal" href="generated/pandas.Series.ewm.html#pandas.Series.ewm" title="pandas.Series.ewm"><code class="xref py py-obj docutils literal"><span class="pre">Series.ewm</span></code></a>（[com，span，halflife，alpha，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1349">提供指数加权函数</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="computations-descriptive-stats">
<span id="api-series-stats"></span><h3><span class="yiyi-st" id="yiyi-1350">计算/描述性统计</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1351"><a class="reference internal" href="generated/pandas.Series.abs.html#pandas.Series.abs" title="pandas.Series.abs"><code class="xref py py-obj docutils literal"><span class="pre">Series.abs</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1352">返回具有绝对值的对象，仅适用于全部为数字的对象。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1353"><a class="reference internal" href="generated/pandas.Series.all.html#pandas.Series.all" title="pandas.Series.all"><code class="xref py py-obj docutils literal"><span class="pre">Series.all</span></code></a>（[axis，bool_only，skipna，level]）</span></td>
<td><span class="yiyi-st" id="yiyi-1354">返回所有元素是否超过请求的轴的True</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1355"><a class="reference internal" href="generated/pandas.Series.any.html#pandas.Series.any" title="pandas.Series.any"><code class="xref py py-obj docutils literal"><span class="pre">Series.any</span></code></a>（[axis，bool_only，skipna，level]）</span></td>
<td><span class="yiyi-st" id="yiyi-1356">返回任何元素是否超过请求的轴为True</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1357"><a class="reference internal" href="generated/pandas.Series.autocorr.html#pandas.Series.autocorr" title="pandas.Series.autocorr"><code class="xref py py-obj docutils literal"><span class="pre">Series.autocorr</span></code></a>（[lag]）</span></td>
<td><span class="yiyi-st" id="yiyi-1358">Lag-N自相关</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1359"><a class="reference internal" href="generated/pandas.Series.between.html#pandas.Series.between" title="pandas.Series.between"><code class="xref py py-obj docutils literal"><span class="pre">Series.between</span></code></a>（左，右[，含]）</span></td>
<td><span class="yiyi-st" id="yiyi-1360">返回boolean系列相当于left</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1361"><a class="reference internal" href="generated/pandas.Series.clip.html#pandas.Series.clip" title="pandas.Series.clip"><code class="xref py py-obj docutils literal"><span class="pre">Series.clip</span></code></a>（[下，上，轴]）</span></td>
<td><span class="yiyi-st" id="yiyi-1362">修整输入阈值处的值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1363"><a class="reference internal" href="generated/pandas.Series.clip_lower.html#pandas.Series.clip_lower" title="pandas.Series.clip_lower"><code class="xref py py-obj docutils literal"><span class="pre">Series.clip_lower</span></code></a>（threshold [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1364">返回具有低于给定值的值的输入的副本。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1365"><a class="reference internal" href="generated/pandas.Series.clip_upper.html#pandas.Series.clip_upper" title="pandas.Series.clip_upper"><code class="xref py py-obj docutils literal"><span class="pre">Series.clip_upper</span></code></a>（threshold [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1366">返回具有高于给定值的值的输入的副本。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1367"><a class="reference internal" href="generated/pandas.Series.corr.html#pandas.Series.corr" title="pandas.Series.corr"><code class="xref py py-obj docutils literal"><span class="pre">Series.corr</span></code></a>（other [，method，min_periods]）</span></td>
<td><span class="yiyi-st" id="yiyi-1368">与<cite>其他</cite>系列计算相关性，不包括缺少的值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1369"><a class="reference internal" href="generated/pandas.Series.count.html#pandas.Series.count" title="pandas.Series.count"><code class="xref py py-obj docutils literal"><span class="pre">Series.count</span></code></a>（[level]）</span></td>
<td><span class="yiyi-st" id="yiyi-1370">返回系列中非NA /零值观察值的数量</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1371"><a class="reference internal" href="generated/pandas.Series.cov.html#pandas.Series.cov" title="pandas.Series.cov"><code class="xref py py-obj docutils literal"><span class="pre">Series.cov</span></code></a>（其他[，min_periods]）</span></td>
<td><span class="yiyi-st" id="yiyi-1372">计算与系列的协方差，不包括缺少的值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1373"><a class="reference internal" href="generated/pandas.Series.cummax.html#pandas.Series.cummax" title="pandas.Series.cummax"><code class="xref py py-obj docutils literal"><span class="pre">Series.cummax</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1374">返回请求轴上的累积最大值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1375"><a class="reference internal" href="generated/pandas.Series.cummin.html#pandas.Series.cummin" title="pandas.Series.cummin"><code class="xref py py-obj docutils literal"><span class="pre">Series.cummin</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1376">返回所请求轴上的累积最小值。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1377"><a class="reference internal" href="generated/pandas.Series.cumprod.html#pandas.Series.cumprod" title="pandas.Series.cumprod"><code class="xref py py-obj docutils literal"><span class="pre">Series.cumprod</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1378">通过请求轴返回累积乘积。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1379"><a class="reference internal" href="generated/pandas.Series.cumsum.html#pandas.Series.cumsum" title="pandas.Series.cumsum"><code class="xref py py-obj docutils literal"><span class="pre">Series.cumsum</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1380">通过请求轴返回累积和。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1381"><a class="reference internal" href="generated/pandas.Series.describe.html#pandas.Series.describe" title="pandas.Series.describe"><code class="xref py py-obj docutils literal"><span class="pre">Series.describe</span></code></a>（[percentiles，include，exclude]）</span></td>
<td><span class="yiyi-st" id="yiyi-1382">生成各种汇总统计，不包括NaN值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1383"><a class="reference internal" href="generated/pandas.Series.diff.html#pandas.Series.diff" title="pandas.Series.diff"><code class="xref py py-obj docutils literal"><span class="pre">Series.diff</span></code></a>（[periods]）</span></td>
<td><span class="yiyi-st" id="yiyi-1384">对象的第一离散差异</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1385"><a class="reference internal" href="generated/pandas.Series.factorize.html#pandas.Series.factorize" title="pandas.Series.factorize"><code class="xref py py-obj docutils literal"><span class="pre">Series.factorize</span></code></a>（[sort，na_sentinel]）</span></td>
<td><span class="yiyi-st" id="yiyi-1386">将对象编码为枚举类型或类别变量</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1387"><a class="reference internal" href="generated/pandas.Series.kurt.html#pandas.Series.kurt" title="pandas.Series.kurt"><code class="xref py py-obj docutils literal"><span class="pre">Series.kurt</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1388">使用Fisher的峰度定义（kurtosis of normal == 0.0）返回无偏的峰度超过请求的轴。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1389"><a class="reference internal" href="generated/pandas.Series.mad.html#pandas.Series.mad" title="pandas.Series.mad"><code class="xref py py-obj docutils literal"><span class="pre">Series.mad</span></code></a>（[axis，skipna，level]）</span></td>
<td><span class="yiyi-st" id="yiyi-1390">返回请求轴的值的平均绝对偏差</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1391"><a class="reference internal" href="generated/pandas.Series.max.html#pandas.Series.max" title="pandas.Series.max"><code class="xref py py-obj docutils literal"><span class="pre">Series.max</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1392">此方法返回对象中值的最大值。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1393"><a class="reference internal" href="generated/pandas.Series.mean.html#pandas.Series.mean" title="pandas.Series.mean"><code class="xref py py-obj docutils literal"><span class="pre">Series.mean</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1394">返回请求轴的值的平均值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1395"><a class="reference internal" href="generated/pandas.Series.median.html#pandas.Series.median" title="pandas.Series.median"><code class="xref py py-obj docutils literal"><span class="pre">Series.median</span></code></a>（[axis，skipna，level，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1396">返回请求轴的值的中值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1397"><a class="reference internal" href="generated/pandas.Series.min.html#pandas.Series.min" title="pandas.Series.min"><code class="xref py py-obj docutils literal"><span class="pre">Series.min</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1398">此方法返回对象中值的最小值。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1399"><a class="reference internal" href="generated/pandas.Series.mode.html#pandas.Series.mode" title="pandas.Series.mode"><code class="xref py py-obj docutils literal"><span class="pre">Series.mode</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1400">返回数据集的模式。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1401"><a class="reference internal" href="generated/pandas.Series.nlargest.html#pandas.Series.nlargest" title="pandas.Series.nlargest"><code class="xref py py-obj docutils literal"><span class="pre">Series.nlargest</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1402">返回最大的<cite>n</cite>元素。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1403"><a class="reference internal" href="generated/pandas.Series.nsmallest.html#pandas.Series.nsmallest" title="pandas.Series.nsmallest"><code class="xref py py-obj docutils literal"><span class="pre">Series.nsmallest</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1404">返回最小的<cite>n</cite>元素。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1405"><a class="reference internal" href="generated/pandas.Series.pct_change.html#pandas.Series.pct_change" title="pandas.Series.pct_change"><code class="xref py py-obj docutils literal"><span class="pre">Series.pct_change</span></code></a>（[periods，fill_method，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1406">给定周期数的百分比变化。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1407"><a class="reference internal" href="generated/pandas.Series.prod.html#pandas.Series.prod" title="pandas.Series.prod"><code class="xref py py-obj docutils literal"><span class="pre">Series.prod</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1408">返回请求轴的值的乘积</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1409"><a class="reference internal" href="generated/pandas.Series.quantile.html#pandas.Series.quantile" title="pandas.Series.quantile"><code class="xref py py-obj docutils literal"><span class="pre">Series.quantile</span></code></a>（[q，interpolation]）</span></td>
<td><span class="yiyi-st" id="yiyi-1410">返回给定分位数的值，即一个数字。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1411"><a class="reference internal" href="generated/pandas.Series.rank.html#pandas.Series.rank" title="pandas.Series.rank"><code class="xref py py-obj docutils literal"><span class="pre">Series.rank</span></code></a>（[axis，method，numeric_only，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1412">沿轴计算数值数据（1到n）。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1413"><a class="reference internal" href="generated/pandas.Series.sem.html#pandas.Series.sem" title="pandas.Series.sem"><code class="xref py py-obj docutils literal"><span class="pre">Series.sem</span></code></a>（[axis，skipna，level，ddof，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1414">返回所要求轴的平均值的无偏差标准误差。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1415"><a class="reference internal" href="generated/pandas.Series.skew.html#pandas.Series.skew" title="pandas.Series.skew"><code class="xref py py-obj docutils literal"><span class="pre">Series.skew</span></code></a>([axis, skipna, level, numeric_only])</span></td>
<td><span class="yiyi-st" id="yiyi-1416">返回所请求轴的无偏斜</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1417"><a class="reference internal" href="generated/pandas.Series.std.html#pandas.Series.std" title="pandas.Series.std"><code class="xref py py-obj docutils literal"><span class="pre">Series.std</span></code></a>（[axis，skipna，level，ddof，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1418">返回样品标准偏差超过请求的轴。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1419"><a class="reference internal" href="generated/pandas.Series.sum.html#pandas.Series.sum" title="pandas.Series.sum"><code class="xref py py-obj docutils literal"><span class="pre">Series.sum</span></code></a>（[axis，skipna，level，numeric_only]）</span></td>
<td><span class="yiyi-st" id="yiyi-1420">返回请求轴的值的总和</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1421"><a class="reference internal" href="generated/pandas.Series.var.html#pandas.Series.var" title="pandas.Series.var"><code class="xref py py-obj docutils literal"><span class="pre">Series.var</span></code></a>（[axis，skipna，level，ddof，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1422">返回与请求轴无关的方差。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1423"><a class="reference internal" href="generated/pandas.Series.unique.html#pandas.Series.unique" title="pandas.Series.unique"><code class="xref py py-obj docutils literal"><span class="pre">Series.unique</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1424">返回对象中的唯一值的np.ndarray。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1425"><a class="reference internal" href="generated/pandas.Series.nunique.html#pandas.Series.nunique" title="pandas.Series.nunique"><code class="xref py py-obj docutils literal"><span class="pre">Series.nunique</span></code></a>（[dropna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1426">返回对象中唯一元素的数量。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1427"><a class="reference internal" href="generated/pandas.Series.is_unique.html#pandas.Series.is_unique" title="pandas.Series.is_unique"><code class="xref py py-obj docutils literal"><span class="pre">Series.is_unique</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1428">如果对象中的值是唯一的，则返回布尔值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1429"><a class="reference internal" href="generated/pandas.Series.is_monotonic.html#pandas.Series.is_monotonic" title="pandas.Series.is_monotonic"><code class="xref py py-obj docutils literal"><span class="pre">Series.is_monotonic</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1430">如果对象中的值为，则返回布尔值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1431"><a class="reference internal" href="generated/pandas.Series.is_monotonic_increasing.html#pandas.Series.is_monotonic_increasing" title="pandas.Series.is_monotonic_increasing"><code class="xref py py-obj docutils literal"><span class="pre">Series.is_monotonic_increasing</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1432">如果对象中的值为，则返回布尔值</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1433"><a class="reference internal" href="generated/pandas.Series.is_monotonic_decreasing.html#pandas.Series.is_monotonic_decreasing" title="pandas.Series.is_monotonic_decreasing"><code class="xref py py-obj docutils literal"><span class="pre">Series.is_monotonic_decreasing</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1434">如果对象中的值为，则返回布尔值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1435"><a class="reference internal" href="generated/pandas.Series.value_counts.html#pandas.Series.value_counts" title="pandas.Series.value_counts"><code class="xref py py-obj docutils literal"><span class="pre">Series.value_counts</span></code></a>（[normalize，sort，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1436">返回包含唯一值计数的对象。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="reindexing-selection-label-manipulation">
<h3><span class="yiyi-st" id="yiyi-1437">重新索引/选择/标签操作</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1438"><a class="reference internal" href="generated/pandas.Series.align.html#pandas.Series.align" title="pandas.Series.align"><code class="xref py py-obj docutils literal"><span class="pre">Series.align</span></code></a>（其他[，join，axis，level，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1439">将它们的轴上的两个对象与</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1440"><a class="reference internal" href="generated/pandas.Series.drop.html#pandas.Series.drop" title="pandas.Series.drop"><code class="xref py py-obj docutils literal"><span class="pre">Series.drop</span></code></a>（标签[，axis，level，inplace，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1441">返回请求轴中标签已删除的新对象。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1442"><a class="reference internal" href="generated/pandas.Series.drop_duplicates.html#pandas.Series.drop_duplicates" title="pandas.Series.drop_duplicates"><code class="xref py py-obj docutils literal"><span class="pre">Series.drop_duplicates</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1443">删除重复值的返回系列</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1444"><a class="reference internal" href="generated/pandas.Series.duplicated.html#pandas.Series.duplicated" title="pandas.Series.duplicated"><code class="xref py py-obj docutils literal"><span class="pre">Series.duplicated</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1445">返回boolean表示重复值的系列</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1446"><a class="reference internal" href="generated/pandas.Series.equals.html#pandas.Series.equals" title="pandas.Series.equals"><code class="xref py py-obj docutils literal"><span class="pre">Series.equals</span></code></a>（other）</span></td>
<td><span class="yiyi-st" id="yiyi-1447">确定两个NDFrame对象是否包含相同的元素。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1448"><a class="reference internal" href="generated/pandas.Series.first.html#pandas.Series.first" title="pandas.Series.first"><code class="xref py py-obj docutils literal"><span class="pre">Series.first</span></code></a>（offset）</span></td>
<td><span class="yiyi-st" id="yiyi-1449">用于基于日期偏移对时间序列数据的初始时间进行子集化的便利方法。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1450"><a class="reference internal" href="generated/pandas.Series.head.html#pandas.Series.head" title="pandas.Series.head"><code class="xref py py-obj docutils literal"><span class="pre">Series.head</span></code></a>（[n]）</span></td>
<td><span class="yiyi-st" id="yiyi-1451">返回前n行</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1452"><a class="reference internal" href="generated/pandas.Series.idxmax.html#pandas.Series.idxmax" title="pandas.Series.idxmax"><code class="xref py py-obj docutils literal"><span class="pre">Series.idxmax</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1453">首次出现最大值的索引。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1454"><a class="reference internal" href="generated/pandas.Series.idxmin.html#pandas.Series.idxmin" title="pandas.Series.idxmin"><code class="xref py py-obj docutils literal"><span class="pre">Series.idxmin</span></code></a>（[axis，skipna]）</span></td>
<td><span class="yiyi-st" id="yiyi-1455">首次出现最小值的索引。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1456"><a class="reference internal" href="generated/pandas.Series.isin.html#pandas.Series.isin" title="pandas.Series.isin"><code class="xref py py-obj docutils literal"><span class="pre">Series.isin</span></code></a>（values）</span></td>
<td><span class="yiyi-st" id="yiyi-1457">返回布尔<a class="reference internal" href="generated/pandas.Series.html#pandas.Series" title="pandas.Series"><code class="xref py py-class docutils literal"><span class="pre">Series</span></code></a>，显示<a class="reference internal" href="generated/pandas.Series.html#pandas.Series" title="pandas.Series"><code class="xref py py-class docutils literal"><span class="pre">Series</span></code></a>中的每个元素是否完全包含在传递的<code class="docutils literal"><span class="pre">values</span></code>序列中。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1458"><a class="reference internal" href="generated/pandas.Series.last.html#pandas.Series.last" title="pandas.Series.last"><code class="xref py py-obj docutils literal"><span class="pre">Series.last</span></code></a>（offset）</span></td>
<td><span class="yiyi-st" id="yiyi-1459">基于日期偏移对时间序列数据的最终周期子集化的便利方法。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1460"><a class="reference internal" href="generated/pandas.Series.reindex.html#pandas.Series.reindex" title="pandas.Series.reindex"><code class="xref py py-obj docutils literal"><span class="pre">Series.reindex</span></code></a>（[index]）</span></td>
<td><span class="yiyi-st" id="yiyi-1461">使用可选填充逻辑将系列更新为新索引，将NA / NaN放在前一个索引中没有值的位置。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1462"><a class="reference internal" href="generated/pandas.Series.reindex_like.html#pandas.Series.reindex_like" title="pandas.Series.reindex_like"><code class="xref py py-obj docutils literal"><span class="pre">Series.reindex_like</span></code></a>（other [，method，copy，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1463">将具有匹配索引的对象返回给我自己。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1464"><a class="reference internal" href="generated/pandas.Series.rename.html#pandas.Series.rename" title="pandas.Series.rename"><code class="xref py py-obj docutils literal"><span class="pre">Series.rename</span></code></a>（[index]）</span></td>
<td><span class="yiyi-st" id="yiyi-1465">改变轴输入功能。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1466"><a class="reference internal" href="generated/pandas.Series.rename_axis.html#pandas.Series.rename_axis" title="pandas.Series.rename_axis"><code class="xref py py-obj docutils literal"><span class="pre">Series.rename_axis</span></code></a>（mapper [，axis，copy，inplace]）</span></td>
<td><span class="yiyi-st" id="yiyi-1467">使用输入函数或函数修改索引和/或列。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1468"><a class="reference internal" href="generated/pandas.Series.reset_index.html#pandas.Series.reset_index" title="pandas.Series.reset_index"><code class="xref py py-obj docutils literal"><span class="pre">Series.reset_index</span></code></a>（[level，drop，name，inplace]）</span></td>
<td><span class="yiyi-st" id="yiyi-1469">类似于<a class="reference internal" href="generated/pandas.DataFrame.reset_index.html#pandas.DataFrame.reset_index" title="pandas.DataFrame.reset_index"><code class="xref py py-meth docutils literal"><span class="pre">pandas.DataFrame.reset_index()</span></code></a>函数，请参见docstring。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1470"><a class="reference internal" href="generated/pandas.Series.sample.html#pandas.Series.sample" title="pandas.Series.sample"><code class="xref py py-obj docutils literal"><span class="pre">Series.sample</span></code></a>（[n，frac，replace，weights，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1471">从对象的轴返回项目的随机样本。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1472"><a class="reference internal" href="generated/pandas.Series.select.html#pandas.Series.select" title="pandas.Series.select"><code class="xref py py-obj docutils literal"><span class="pre">Series.select</span></code></a>（crit [，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1473">返回与轴标签匹配条件相对应的数据</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1474"><a class="reference internal" href="generated/pandas.Series.take.html#pandas.Series.take" title="pandas.Series.take"><code class="xref py py-obj docutils literal"><span class="pre">Series.take</span></code></a>（indices [，axis，convert，is_copy]）</span></td>
<td><span class="yiyi-st" id="yiyi-1475">return对应于请求的索引</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1476"><a class="reference internal" href="generated/pandas.Series.tail.html#pandas.Series.tail" title="pandas.Series.tail"><code class="xref py py-obj docutils literal"><span class="pre">Series.tail</span></code></a>（[n]）</span></td>
<td><span class="yiyi-st" id="yiyi-1477">返回最后n行</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1478"><a class="reference internal" href="generated/pandas.Series.truncate.html#pandas.Series.truncate" title="pandas.Series.truncate"><code class="xref py py-obj docutils literal"><span class="pre">Series.truncate</span></code></a>（[before，after，axis，copy]）</span></td>
<td><span class="yiyi-st" id="yiyi-1479">在某个特定索引值之前和/或之后截断排序的NDFrame。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1480"><a class="reference internal" href="generated/pandas.Series.where.html#pandas.Series.where" title="pandas.Series.where"><code class="xref py py-obj docutils literal"><span class="pre">Series.where</span></code></a>（cond [，other，inplace，axis，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1481">返回一个与self相同形状的对象，其对应的条目来自self，其中cond为True，否则为其他对象。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1482"><a class="reference internal" href="generated/pandas.Series.mask.html#pandas.Series.mask" title="pandas.Series.mask"><code class="xref py py-obj docutils literal"><span class="pre">Series.mask</span></code></a>（cond [，other，inplace，axis，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1483">返回一个与self相同形状的对象，并且其对应的条目来自self，其中cond是False，否则是来自其他。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="missing-data-handling">
<h3><span class="yiyi-st" id="yiyi-1484">缺少数据处理</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1485"><a class="reference internal" href="generated/pandas.Series.dropna.html#pandas.Series.dropna" title="pandas.Series.dropna"><code class="xref py py-obj docutils literal"><span class="pre">Series.dropna</span></code></a>（[axis，inplace]）</span></td>
<td><span class="yiyi-st" id="yiyi-1486">返回无null值的系列</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1487"><a class="reference internal" href="generated/pandas.Series.fillna.html#pandas.Series.fillna" title="pandas.Series.fillna"><code class="xref py py-obj docutils literal"><span class="pre">Series.fillna</span></code></a>（[value，method，axis，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1488">使用指定的方法填充NA / NaN值</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1489"><a class="reference internal" href="generated/pandas.Series.interpolate.html#pandas.Series.interpolate" title="pandas.Series.interpolate"><code class="xref py py-obj docutils literal"><span class="pre">Series.interpolate</span></code></a>（[method，axis，limit，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1490">根据不同的方法内插值。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="reshaping-sorting">
<h3><span class="yiyi-st" id="yiyi-1491">重新整形，排序</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1492"><a class="reference internal" href="generated/pandas.Series.argsort.html#pandas.Series.argsort" title="pandas.Series.argsort"><code class="xref py py-obj docutils literal"><span class="pre">Series.argsort</span></code></a>（[axis，kind，order]）</span></td>
<td><span class="yiyi-st" id="yiyi-1493">覆盖ndarray.argsort。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1494"><a class="reference internal" href="generated/pandas.Series.reorder_levels.html#pandas.Series.reorder_levels" title="pandas.Series.reorder_levels"><code class="xref py py-obj docutils literal"><span class="pre">Series.reorder_levels</span></code></a>（order）</span></td>
<td><span class="yiyi-st" id="yiyi-1495">使用输入顺序重新排列索引级别。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1496"><a class="reference internal" href="generated/pandas.Series.sort_values.html#pandas.Series.sort_values" title="pandas.Series.sort_values"><code class="xref py py-obj docutils literal"><span class="pre">Series.sort_values</span></code></a>（[axis，ascending，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1497">按任一轴的值排序</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1498"><a class="reference internal" href="generated/pandas.Series.sort_index.html#pandas.Series.sort_index" title="pandas.Series.sort_index"><code class="xref py py-obj docutils literal"><span class="pre">Series.sort_index</span></code></a>（[axis，level，ascending，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1499">按标签（沿轴）对对象排序</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1500"><a class="reference internal" href="generated/pandas.Series.sortlevel.html#pandas.Series.sortlevel" title="pandas.Series.sortlevel"><code class="xref py py-obj docutils literal"><span class="pre">Series.sortlevel</span></code></a>（[level，ascending，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1501">按所选级别对MultiIndex进行排序。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1502"><a class="reference internal" href="generated/pandas.Series.swaplevel.html#pandas.Series.swaplevel" title="pandas.Series.swaplevel"><code class="xref py py-obj docutils literal"><span class="pre">Series.swaplevel</span></code></a>（[i，j，copy]）</span></td>
<td><span class="yiyi-st" id="yiyi-1503">在MultiIndex中交换级别i和j</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1504"><a class="reference internal" href="generated/pandas.Series.unstack.html#pandas.Series.unstack" title="pandas.Series.unstack"><code class="xref py py-obj docutils literal"><span class="pre">Series.unstack</span></code></a>（[level，fill_value]）</span></td>
<td><span class="yiyi-st" id="yiyi-1505">Unstack，a.k.a.</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1506"><a class="reference internal" href="generated/pandas.Series.searchsorted.html#pandas.Series.searchsorted" title="pandas.Series.searchsorted"><code class="xref py py-obj docutils literal"><span class="pre">Series.searchsorted</span></code></a>（v [，side，sorter]）</span></td>
<td><span class="yiyi-st" id="yiyi-1507">查找要插入元素以维持顺序的索引。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="combining-joining-merging">
<h3><span class="yiyi-st" id="yiyi-1508">组合/加入/合并</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1509"><a class="reference internal" href="generated/pandas.Series.append.html#pandas.Series.append" title="pandas.Series.append"><code class="xref py py-obj docutils literal"><span class="pre">Series.append</span></code></a>（to_append [，ignore_index，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1510">串联两个或更多系列。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1511"><a class="reference internal" href="generated/pandas.Series.replace.html#pandas.Series.replace" title="pandas.Series.replace"><code class="xref py py-obj docutils literal"><span class="pre">Series.replace</span></code></a>（[to_replace，value，inplace，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1512">将'to_replace'中给出的值替换为'value'。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1513"><a class="reference internal" href="generated/pandas.Series.update.html#pandas.Series.update" title="pandas.Series.update"><code class="xref py py-obj docutils literal"><span class="pre">Series.update</span></code></a>（other）</span></td>
<td><span class="yiyi-st" id="yiyi-1514">使用通过的系列中的非NA值修改系列。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="time-series-related">
<h3><span class="yiyi-st" id="yiyi-1515">时间序列相关的</span></h3>
<table border="1" class="longtable docutils">
<colgroup>
<col width="10%">
<col width="90%">
</colgroup>
<tbody valign="top">
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1516"><a class="reference internal" href="generated/pandas.Series.asfreq.html#pandas.Series.asfreq" title="pandas.Series.asfreq"><code class="xref py py-obj docutils literal"><span class="pre">Series.asfreq</span></code></a>（freq [，method，how，normalize]）</span></td>
<td><span class="yiyi-st" id="yiyi-1517">将TimeSeries转换为指定的频率。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1518"><a class="reference internal" href="generated/pandas.Series.asof.html#pandas.Series.asof" title="pandas.Series.asof"><code class="xref py py-obj docutils literal"><span class="pre">Series.asof</span></code></a>（其中[，subset]）</span></td>
<td><span class="yiyi-st" id="yiyi-1519">最后一行没有任何NaN被采取（或最后一行没有</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1520"><a class="reference internal" href="generated/pandas.Series.shift.html#pandas.Series.shift" title="pandas.Series.shift"><code class="xref py py-obj docutils literal"><span class="pre">Series.shift</span></code></a>（[periods，freq，axis]）</span></td>
<td><span class="yiyi-st" id="yiyi-1521">使用可选的时间频率按期望的周期数切换索引</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1522"><a class="reference internal" href="generated/pandas.Series.first_valid_index.html#pandas.Series.first_valid_index" title="pandas.Series.first_valid_index"><code class="xref py py-obj docutils literal"><span class="pre">Series.first_valid_index</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1523">返回第一个非NA /空值的标签</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1524"><a class="reference internal" href="generated/pandas.Series.last_valid_index.html#pandas.Series.last_valid_index" title="pandas.Series.last_valid_index"><code class="xref py py-obj docutils literal"><span class="pre">Series.last_valid_index</span></code></a>()</span></td>
<td><span class="yiyi-st" id="yiyi-1525">返回最后一个非NA /空值的标签</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1526"><a class="reference internal" href="generated/pandas.Series.resample.html#pandas.Series.resample" title="pandas.Series.resample"><code class="xref py py-obj docutils literal"><span class="pre">Series.resample</span></code></a>（rule [，how，axis，...]）</span></td>
<td><span class="yiyi-st" id="yiyi-1527">时间序列的频率转换和重采样的方便方法。</span></td>
</tr>
<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1528"><a class="reference internal" href="generated/pandas.Series.tz_convert.html#pandas.Series.tz_convert" title="pandas.Series.tz_convert"><code class="xref py py-obj docutils literal"><span class="pre">Series.tz_convert</span></code></a>（tz [，axis，level，copy]）</span></td>
<td><span class="yiyi-st" id="yiyi-1529">将tz感知轴转换为目标时区。</span></td>
</tr>
<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1530"><a class="reference internal" href="generated/pandas.Series.tz_localize.html#pandas.Series.tz_localize" title="pandas.Series.tz_localize"><code class="xref py py-obj docutils literal"><span class="pre">Series.tz_localize</span></code></a>（\ * args，\ * \ * kwargs）</span></td>
<td><span class="yiyi-st" id="yiyi-1531">将tz-naive TimeSeries本地化为目标时区。</span></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="datetimelike-properties">
<h3><span class="yiyi-st" id="yiyi-1532">Datetimelike属性</span></h3>
<p><span class="yiyi-st" id="yiyi-1533"><code class="docutils literal"><span class="pre">Series.dt</span></code>可用于以datetimelike访问系列的值，并返回多个属性。</span><span class="yiyi-st" id="yiyi-1534">这些可以像<code class="docutils literal"><span class="pre">Series.dt.<property></span></code>一样访问。</span></p>
<p><span class="yiyi-st" id="yiyi-1535"><strong>日期时间属性</strong></span></p>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1536"><a class="reference internal" href="generated/pandas.Series.dt.date.html#pandas.Series.dt.date" title="pandas.Series.dt.date"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.date</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1537">返回numpy数组的python datetime.date对象（即，没有时区信息的时间戳的日期部分）。</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1538"><a class="reference internal" href="generated/pandas.Series.dt.time.html#pandas.Series.dt.time" title="pandas.Series.dt.time"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.time</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1539">返回datetime.time的numpy数组。</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1540"><a class="reference internal" href="generated/pandas.Series.dt.year.html#pandas.Series.dt.year" title="pandas.Series.dt.year"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.year</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1541">datetime的年份</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1542"><a class="reference internal" href="generated/pandas.Series.dt.month.html#pandas.Series.dt.month" title="pandas.Series.dt.month"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.month</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1543">月份为1月= 1月，12月= 12月</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1544"><a class="reference internal" href="generated/pandas.Series.dt.day.html#pandas.Series.dt.day" title="pandas.Series.dt.day"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.day</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1545">datetime的日期</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1546"><a class="reference internal" href="generated/pandas.Series.dt.hour.html#pandas.Series.dt.hour" title="pandas.Series.dt.hour"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.hour</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1547">datetime的小时数</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1548"><a class="reference internal" href="generated/pandas.Series.dt.minute.html#pandas.Series.dt.minute" title="pandas.Series.dt.minute"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.minute</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1549">datetime的分钟</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1550"><a class="reference internal" href="generated/pandas.Series.dt.second.html#pandas.Series.dt.second" title="pandas.Series.dt.second"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.second</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1551">datetime的秒数</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1552"><a class="reference internal" href="generated/pandas.Series.dt.microsecond.html#pandas.Series.dt.microsecond" title="pandas.Series.dt.microsecond"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.microsecond</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1553">datetime的微秒</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1554"><a class="reference internal" href="generated/pandas.Series.dt.nanosecond.html#pandas.Series.dt.nanosecond" title="pandas.Series.dt.nanosecond"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.nanosecond</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1555">datetime的纳秒</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1556"><a class="reference internal" href="generated/pandas.Series.dt.week.html#pandas.Series.dt.week" title="pandas.Series.dt.week"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.week</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1557">一年的周数</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1558"><a class="reference internal" href="generated/pandas.Series.dt.weekofyear.html#pandas.Series.dt.weekofyear" title="pandas.Series.dt.weekofyear"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.weekofyear</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1559">一年的周数</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1560"><a class="reference internal" href="generated/pandas.Series.dt.dayofweek.html#pandas.Series.dt.dayofweek" title="pandas.Series.dt.dayofweek"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.dayofweek</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1561">一周中的星期几，星期一= 0，星期六= 6</span></td>
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<tr class="row-even"><td><span class="yiyi-st" id="yiyi-1562"><a class="reference internal" href="generated/pandas.Series.dt.weekday.html#pandas.Series.dt.weekday" title="pandas.Series.dt.weekday"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.weekday</span></code></a></span></td>
<td><span class="yiyi-st" id="yiyi-1563">一周中的星期几，星期一= 0，星期六= 6</span></td>
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<tr class="row-odd"><td><span class="yiyi-st" id="yiyi-1564"><a class="reference internal" href="generated/pandas.Series.dt.weekday_name.html#pandas.Series.dt.weekday_name" title="pandas.Series.dt.weekday_name"><code class="xref py py-obj docutils literal"><span class="pre">Series.dt.weekday_name</span></code></a></span></td>