How to plot ricker curve using SciPy - Python? Last Updated : 03 Jan, 2021 Comments Improve Suggest changes Like Article Like Report Prerequisites: Mathplotlib, NumPy A Ricker wavelet is a wave-like oscillation with an amplitude that begins at 0, increases, and then decreases back to 0. A Ricker wavelet, also known as the “Mexican hat wavelet”.In this article, we will plot the ricker curve that makes them useful for signal processing. It is the negative normalized second derivative of a Gaussian function. Syntax: scipy.signal.ricker(points, a) Parameter: points: A number of points in vector. Will be centered around 0.a: Width parameter of the wavelet. Returns: An array of length points in the shape of a ricker curve. Approach: Import required modules.Create an array to plot the shape of a ricker curve.Move an axis at the center.Show Graph. Example 1: Plotting Ricker curve. Python3 from scipy import signal import matplotlib.pyplot as plt point = 100 hat = signal.ricker(point, 4) fig = plt.figure(figsize = (8, 8)) ax = fig.add_subplot(1, 1, 1) # Move left y-axis and bottim x-axis to centre, # passing through (0,0) ax.spines['left'].set_position('center') ax.spines['bottom'].set_position('center') # Eliminate upper and right axes ax.spines['right'].set_color('none') ax.spines['top'].set_color('none') plt.grid(True) plt.plot(hat) plt.show() Output: Example 2: Plotting Inverse Ricker curve. Python3 from scipy import signal import matplotlib.pyplot as plt point = 100 hat = -(signal.ricker(point, 4)) fig = plt.figure(figsize = (8, 8)) ax = fig.add_subplot(1, 1, 1) # Move left y-axis and bottim x-axis to centre, # passing through (0,0) ax.spines['left'].set_position('center') ax.spines['bottom'].set_position('center') # Eliminate upper and right axes ax.spines['right'].set_color('none') ax.spines['top'].set_color('none') plt.grid(True) plt.plot(hat) plt.show() Output: Comment More infoAdvertise with us Next Article How to plot ricker curve using SciPy - Python? skrg141 Follow Improve Article Tags : Python Python-matplotlib Python-scipy Practice Tags : python Similar Reads How to plot Andrews curves using Pandas in Python? Andrews curves are used for visualizing high-dimensional data by mapping each observation onto a function. It preserves means, distance, and variances. 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