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Articles by Rishikesh Kumar Rishi
Page 14 of 102
How to vary the line color with data index for line graph in matplotlib?
To have the line color vary with the data index for a line graph in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Get smaller limit, dydx.Get the points and segments data points using numpy.Create a figure and a set of subplots.Create a class which, when called, linearly normalizes data into some range.Set the image array from numpy array *A*.Set the linewidth(s) for the collection.Set the colorbar for axis 1.Generate Colormap object from a list of colors i.e r, g and b.Repeat ...
Read MoreHow can I format a float using matplotlib's LaTeX formatter?
To format a float using matplotlib's LaTeX formatter, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points using plot() method.Fill the area between the curve.Set the title of the figure with LaTeX representation.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt # Set the figures size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # x and y data points x = np.linspace(-5, 5, 100) y = x**3/3 ...
Read MoreHow to set local rcParams or rcParams for one figure in matplotlib?
To set local rcParams or rcParams for one figure in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable N to store the number of sample data.Create x and y data points using numpy.Return a context manager for temporarily changing rcParams.Add a subplot to the current figure, at index 1.Plot the x and y data points, using plot() method.Add a subplot to the current figure, at index 2.Plot the x and y data points, using plot() method.To display the figure, use show() method.Exampleimport pandas as pd import ...
Read MoreHow to plot a multivariate function in Python Matplotlib?
To plot a multivariate function in Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create random x, y and z data points using numpy.Create a figure and a set of subplots.Create a scatter plot with x, y and z data points.Create a colorbar for a ScalarMappable instance, s.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True def func(x, y): return 3 * x + 4 * y - 2 + np.random.randn(30) x, y ...
Read MoreHow to make a polygon radar (spider) chart in Python Matplotlib?
To make a polygon radar (spider) chart in Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe with sports and values columns.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Based on data frame values, get the theta value.Get the values list of the data frame.Make a bar plot with theta and values data points.Fill the area between polygon.To display the figure, use show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt import numpy as np ...
Read MoreHow to specify different colors for different bars in a Python matplotlib histogram?
To specify different colors for different bars in a matplotlib histogram, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Plot a histogram with random data with 100 sample data.Iterate in the range of number of bins and set random facecolor for each bar.To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt import random import string # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Figure and set of subplots fig, ax = ...
Read MoreHow do I fill a region with only hatch (no background colour) in matplotlib 2.0?
To fill a region with only hatch (no background color) in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable n to store the number of sample data.Create a figure and a set of subplots.Plot the x and y data points.Fill the area between x and y with circle hatches, edgecolor="blue".To display the figure, use show() method.Exampleimport numpy as np import matplotlib.pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Number of sample data n = 256 ...
Read MoreHow to set a line color to orange, and specify line markers in Matplotlib?
To set a line color to orange, and specify line markers in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points with the attributes color='orange' and marker='*'.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # x and y data points x = np.linspace(-5, 5, 100) y = np.sin(x) # Plot the data points with color ...
Read MoreHow to deal with NaN values while plotting a boxplot using Python Matplotlib?
To deal with NaN value while plotting a boxplot using Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable N for data samples and for range.Next create the random spread, center's data, flier high and low, get the concatenated data, and the filtered data.Create a box plot using boxplot() method.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # Data samples N = 10 # Random spread ...
Read MoreHow to plot a smooth line with matplotlib?
To plot a smooth line with matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a list of data points, x and y.Plot the x and y data points.Create x_new and bspline data points for smooth line.Get y_new data points. Compute the (coefficients of) interpolating B-spline.Plot x_new and y_new data points using plot() method.To display the figure, use show() method.Exampleimport numpy as np from matplotlib import pyplot as plt from scipy import interpolate # Set the figure size plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True # x ...
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