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Articles by Rishikesh Kumar Rishi
Page 19 of 102
How to plot a plane using some mathematical equation in matplotlib?
To plot a plane using some mathematical equation 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.Using x and y, find the equation of the plane (eq).Create a new figure or activate an existing figure.Get the current axis with projection='3d'.Create a surface plot with x, y and eq data points.To display the figure, use Show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-10, 10, 100) y = np.linspace(-10, 10, 100) ...
Read MoreHow to plot a bar chart for a list in Python matplotlib?
To plot a bar chart for a list in python matplotlib we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Make a list of data points.Make a bar plot with data.To display the figure, use Show() method.Examplefrom matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # List of data points data = [0, 1, 3, 2, 1, 5, 2, 1, 4, 2, 4, 0] # Plot bar chart with data points plt.bar(data, data) # Display the plot plt.show() OutputIt will produce the following output −
Read MorePreserve padding while setting an axis limit in matplotlib
To preserve padding while setting axis limit, we can avoid using the tight layout, i.e., plt.rcParams["figure.autolayout"] = False.StepsSet 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.Set x and y axes limit.To display the figure, use Show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.linspace(-10, 10, 100) y = np.sin(x) ** 2 plt.plot(x, y) plt.xlim([0, max(x)+0.125]) plt.ylim([0, max(y)+0.125]) plt.show() OutputIt will produce the following output −
Read MoreHow to show (0,0) on matplotlib graph at the bottom left corner?
To show (0, 0) on matplotlib graph at the bottom left corner, we can use xlim() and ylim() methods.StepsSet the figure size and adjust the padding between and around the subplots.Make lists of data points for x and y.Plotx and y data points.Setx and y axes scale.To display the figure, use Show() method.Exampleimport numpy as np import matplotlib.pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True x = np.array([0, 1, 3, 2, 1, 5]) y = np.array([0, 2, 4, 4, 3, 3]) plt.plot(x, y) plt.xlim([0, max(x)+0.5]) plt.ylim([0, max(y)+0.5]) plt.show() OutputIt will produce the ...
Read MoreGraph k-NN decision boundaries in Matplotlib
To make graph k-NN decision boundaries 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_neighbors for number of neighbors.Load and return the iris dataset (classification).Create x and y data points.Make lists of dark and light colors.Classifier implementing the k-nearest neighbors vote.Create xmin, xmax, ymin and ymax data points.Create a new figure or activate an existing figure.Create a contourf plot.Create a scatter plot with X dataset.Set x and y axes labels, titles and scale of the axes.To display the figure, use Show() method.Exampleimport numpy as np import ...
Read MoreHow to make a mosaic plot in Matplotlib?
To make a mosaic plot in matplotlib, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Install statsmodel package (pip install statsmodels). It is required to create mosaic plots. statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.Make a dictionary for mosaic plot.Create a mosaic plot from a contingency table.To display the figure, use Show() method.Exampleimport matplotlib.pyplot as plt from statsmodels.graphics.mosaicplot import mosaic plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Dictionary for mosaic plot ...
Read MoreHow to plot two violin plot series on the same graph using Seaborn?
To plot two violin plot series on the same graph using Seaborn, we can take the following Steps.StepsSet the figure size and adjust the padding between and around the subplots.Load an example dataset from the online repository (requires Internet).Create a violin plot using violinplot() method.To display the figure, use Show() method.Example# Import Seaborn and Matplotlib import seaborn as sns from matplotlib import pyplot as plt # Set the figure size plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True # Load an example dataset tips = sns.load_dataset("tips") # Create a violin plot using Seaborn sns.violinplot(x="day", y="total_bill", hue="time", data=tips) ...
Read MoreHow to autosize text in matplotlib Python?
To autosize text in matplotlib, we can make a tight layout and rotate the ticks.StepsSet the figure size and adjust the padding between and around the subplots.Plot data points of the range of 10.Make a list of labels.Put ticks and labels on the X-axis with 30 rotation.To display the figure, use Show() method.Examplefrom matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True plt.plot(range(10)) labels = [7 * repr(i) for i in range(10)] plt.xticks(range(10), labels, rotation=30) plt.show() OutputIt will produce the following output −
Read MoreHow to change the scale of imshow in matplotlib without stretching the image?
To change the scale of imshow in matplotlib without stretching the image, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Create random data points with 4×4 dimension.Display the data as an image, i.e., on a 2D regular raster.Use the extent parameter of imshow to map the image buffer pixel coordinates to a data space coordinate system.Next, set the aspect ratio of the image manually by supplying a value such as "aspect=4" or let it auto-scale by using aspect='auto'. This will prevent stretching of the image. By default, imshow sets the aspect of ...
Read MoreHow to use ax.get_ylim() in matplotlib?
To use ax.get_ylim() method in matplotlib, we can take the following steps.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure.Add an 'ax' to the figure as part of a subplot arrangement.Create random data points using numpy.Plot y data points using plot() method.Use ax.get_ylim() method to print it.To display the figure, use Show() method.Exampleimport numpy as np from matplotlib import pyplot as plt plt.rcParams["figure.figsize"] = [7.00, 3.50] plt.rcParams["figure.autolayout"] = True fig = plt.figure() # Add an axes to the figure ax = fig.add_subplot(1, 1, 1) ...
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