To write numerical values on the plot, we can take the following steps −Create points for x and y using numpy.Create labels using xpoints.Use the scatter() method to scatter the points.Iterate labels, xpoints and ypoints and annotate the plot with label, x and y with different properties.To display the figure, ... Read More

To change the color of a line using radiobutton we can take following steps −Create x and y data points using numpy.Adjust the figure size and padding between and around the subplots.Create a figure and a set of subplots using subplots() method.Plot curve with x and y data points using ... Read More

To zoom a portion of an image and insert in the same plot, we can take the following steps −Create x and y points, using numpy.To zoom a part of an image, we can make data for x and y points, in that range.Plot x and y points (Step 1), ... Read More

To add extra ticks in matplotlib, we can take the following Steps −Create x and y points using numpy.Plot x and y points over the plot, where x ticks could be from 1 to 10 (100 data points) on the curve.To add extra ticks, use xticks() method and increase the range ... Read More

To plot multiple Seaborn jointplot, we can use the jointplot() method.StepsAdd a subplot to the current figure.Create a dictionary, with some keys.Create a dataframe using Pandas.Make a jointplot using the jointplot() method.To plot the curves, use the plot() method.To display the figure, use the show() method.Examplefrom matplotlib import pyplot as plt ... Read More

To make the marker face color transparent without making the line transparent in matplotlib, we can take the following steps −Create x_data and y_data(sin(x_data)), using numpy.Plot curve using x_data and y_data, with marker style and marker size. By changing the alpha, we can make it transparent to opaque.To get the essence of ... Read More

To extract a subset of a colormap as a new colormap, we can take the following steps −Create a random array with 10×10 shape.Add a subplot to the current figure, where nrows=1, ncols=2 and index=1.Initialize using get_cmap so that scatter knows.Using imshow() method with colormap, display the data as an image, ... Read More

To define a discrete colormap for imshow in matplotlib, we can take following the steps −Create data using numpy.Initialize the data using get_cmap, so that scatter knows.Using imshow() method with colormap, display the data as an image, i.e., on a 2D regular raster.Create the colorbar using the colorbar() method.To display the figure, ... Read More

To enforce axis range in matplotlib, we can take the following steps −Set x and y limits using xlim and ylim methods, respectively.Create x and y points for the curve using numpy.Plot x and y using the plot() method.To show the figure, use the show() method.Exampleimport matplotlib.pyplot as plt import datetime import numpy as ... Read More

To plot a time series in Python using matplotlib, we can take the following steps −Create x and y points, using numpy.Plot the created x and y points using the plot() method.To display the figure, use the show() method.Exampleimport matplotlib.pyplot as plt import datetime import numpy as np plt.rcParams["figure.figsize"] = ... Read More