To omit matplotlib printed output in Python/Jupeter notebook, we can take the following steps −import numpy as np.from matplotlib import pyplot as pltCreate points for x, i.e., np.linspace(1, 10, 1000)Now, plot the line using plot() method.To hide the instance, use plt.plot(x); (with semi-colon)Or, use _ = plt.plot(x).ExampleIn [1]: import numpy ... Read More

To save figures to pdf as raster images 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 figure.Add an axes to the figure as part of a subplot arrangement.Create random data ... Read More

To get the color of the last figure, we can use get_color() method for every plot.Set the figure size and adjust the padding between and around the subplots.Create x and y data point using numpy.Plot (x, x), (x, x2) and (x, x3) using plot() method.Place a legend for every plot ... Read More

To set the networkx edge labels offset, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a graph with edges, name, or graph attributes.Add multiple nodes.Position the nodes using Fruchterman-Reingold force-directed algorithm.Draw the graph G with Matplotlib.Draw edge labels.To display ... Read More

To plot contourf and log scale in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, N, for number of sample data.Create x, y, X, Y, Z1, Z2 and z data points using numpy.Create a figure and ... Read More

To set horizontal and vertical, major and minor grid lines of a plot, we can use grid() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Make horizontal grid lines for major ticks.Locate minor locator on the axes.Use grid() method ... Read More

To plot contour with hatching, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x, y and z data points using numpy.Flat the x and y data points.Create a figure and a set of subplots.Plot a contour with different hatches.Create ... Read More

To move a tick label without moving corresponding tick in Matplotlib, we can use axvline() method and can annotate it accordingly.StepsSet the figure size and adjust the padding between and around the subplots.Initialize a variable, delta.Create x and y data points using numpy.Plot delta using axvline() methodAnnotate that line using ... Read More

To axes axis label object in Matplotlib, we can use ax.xaxis.get_label().get_text() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Initialize a variable, N, for number samples.Create random data points using numpy.Plot x data points using plot() method.Set X-axis label ... Read More

To adjust one subplot's height in absolute way 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 figure.For absolute height of subplot, use Axes() classAdd an axes to the figure.Plot the ... Read More