From the course: Data Pipeline Automation with GitHub Actions Using R and Python

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API limitations with Python

API limitations with Python - GitHub Tutorial

From the course: Data Pipeline Automation with GitHub Actions Using R and Python

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API limitations with Python

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- [Instructor] In the previous video, we saw how we can set a get request to pull data from the API using the IGET function. In this video we'll review the output and explore some of the limitation of the get request. Let's go back to the data frame we pulled during the previous video DF1. Recall the data frame has 5,000 rows or observations and seven variables. Let's use Plotly to plot the data. So we're going to use the plot line function as it says time series. Let's start with the input object, which TF1.data and our X axis is our timestamp, which is period, and our numeric value is the value column. Let's go ahead and run it. And as you can notice in this time sales plot, there are some weird lines that do not fit the serious pattern. We can go ahead and zoom in and and explore it. You can see here that some observations are missings and therefore you get those straight lines in between. So for example, between December 14th, 2018 and Jan 13, 2019, there are no any observation…

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