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Articles by Rishikesh Kumar Rishi
Page 22 of 102
How to add titles to the legend rows in Matplotlib?
To add titles to the legend rows in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create y data points using numpy.Make lists of markers and labels.Create a figure and a set of subplots.Plot the lines using plot() method, with different labels and markers.Get the plot handlers for half of the plot.Get the labels for the legends.Place the legends on the plot.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True y = np.exp(-np.arange(5)) markers ...
Read MoreWhat is the difference between importing matplotlib and matplotlib.pyplot?
When we import matplotlib, we are importing all its libraries, whereas importing matplotlib.pyplot only imports pyplot's properties.stepsImport matplotlib.pyplot as pltSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot x and y data points using plot() method.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 x = np.random.rand(10) y = np.random.rand(10) plt.plot(x, y) plt.show()Output
Read MoreHow to plot two histograms side by side using Matplotlib?
To plot two histograms side by side using matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make two dataframes, df1 and df2, of two-dimensional, size-mutable, potentially heterogeneous tabular data.Create a figure and a set of subplots.Make a histogram of the DataFrame's, df1 and df2.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt import pandas as pd plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df1 = pd.DataFrame(dict(a=[1, 1, 1, 1, 3])) df2 = pd.DataFrame(dict(b=[1, 1, 2, 1, 3])) fig, axes = plt.subplots(1, 2) ...
Read MoreHow to make a circular matplotlib.pyplot.contourf?
To make a circular matplotlib.pyplot.contourf, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y, a, b and c data points using Numpy.Create a figure and a set of subplots.Make a Contour plot using contourf() method.Set the aspect ratios.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 x = np.linspace(-0.5, 0.5, 100) y = np.linspace(-0.5, 0.5, 100) a, b = np.meshgrid(x, y) c = a ** 2 + b ** 2 - 0.2 ...
Read MoreHow to set the background color of a column in a matplotlib table?
To set the background color of a column in a matplotlib table, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a tuple for columns attribute.Make a list of lists, i.e., list of records.Make a list of lists, i.e., color of each cell.Create a figure and a set of subplots.Add a table to an axes, ax.Turn off the axes.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True columns = ('name', 'age', 'marks', 'salary') cell_text = [["John", "23", "98", "234"], ...
Read MoreWhat are n, bins and patches in matplotlib?
The hist() method returns n, bins and patches in matplotlib. Patches are the containers of individual artists used to create the histogram or list of such containers if there are multiple input datasets. Bins define the number of equal-width bins in the range.Let's take an example to understand how it works.stepsSet the figure size and adjust the padding between and around the subplots.Create random data points using numpy.Make a Hist plot with 100 bins.Set a property on an artist object.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"] = ...
Read MoreHow to get all the legends from a plot in Matplotlib?
To get all the legends from a plot in matplotlib, we can use the get_children() method to get all the properties of an axis, then iterate all the properties. If an item is an instance of a Legend, then get the legend texts.stepsSet the figure size and adjust the padding between and around the subplots.Create x data points using numpy.Create a figure and a set of subplots.Plot sin(x) and cos(x) using plot() method with different labels and colors.Get the children of the axis and get the texts of the legend.To display the figure, use show() method.Exampleimport numpy as np from ...
Read MoreHow to create a Boxplot with Matplotlib?
To create a Boxplot with Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of xticks.Plot a boxplot with xticks data.Set xticks and xtick labels with 45° rotation.To display the figure, use show() method.Exampleimport seaborn as sns from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True xticks = [1, 4, 5, 2, 3] ax = sns.boxplot(xticks) ax.set_xticks(xticks) ax.set_xticklabels(["one", "two", "three", "four", "five"], rotation=45) plt.show()Output
Read MoreHow to show a bar and line graph on the same plot in Matplotlib?
To show a bar and line graph on the same plot in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a two-dimensional, size-mutable, potentially heterogeneous tabular data.Create a figure and a set of subplots.Plot the bar and line with the dataframe obtained from Step 2.To display the figure, use show() method.Exampleimport pandas as pd import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.50, 3.50] plt.rcParams["figure.autolayout"] = True df = pd.DataFrame(dict(data=[2, 4, 1, 5, 9, 6, 0, 7])) fig, ax = plt.subplots() df['data'].plot(kind='bar', color='red') df['data'].plot(kind='line', marker='*', color='black', ms=10) ...
Read MoreHow to plot blurred points in Matplotlib?
To plot blurred points in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing new figure.Add an ax1 to the figure as part of a subplot arrangement.First, we can make a marker, i.e., to be blurred.Set the X and Y axes scale, turn off the axes.Save the marker in a file, and load that image to be plotted after blurred.Close the previous figure, fig1.Create a new figure or activate an existing figure, fig2.Create random data points, x and y.Apply Gaussian filter, to ...
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