StepsSet the figure size and adjust the padding between and around the subplots.Create a dataframe with col1 columns.Multi-plot grid for plotting conditional relationships.Use map_dataframe(). This method is suitable for plotting with functions that accept a long-form DataFrame as a 'data' keyword argument and access the data in that DataFrame using ... Read More

To retrieve the list of supported file formats for matplotlib savefig() function, we can use get_supported_filetypes().StepsFirst get the current figure.Set the canvas that contains the figure.Use get_supported_filetypes() method.Iterate the file type items.To display the figure, use show() method.Examplefrom matplotlib import pyplot as plt fs = plt.gcf().canvas.get_supported_filetypes() for key, ... Read More

To animate using Matplotlib with subplots and ArtistAnimation, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a figure and a set of subplots.Create a user-defined function, Init, to draw a clear frame.Use FuncAnimation to make an animation by repeatedly ... Read More

To decrease colorbar width in Matplotlib, we can use shrink in colorbar() method.StepsSet the figure size and adjust the padding between and around the subplots.Create a random data using numpy.Display the data as an image, i.e., on a 2D regular raster, with data.Create a colorbar for a ScalarMappable instance, im.To ... Read More

To make an arrow that loops in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.To make an arrow loop in matplotlib, we can use make_loop() method.Make a wedge instance with center, radius, theta1, theta2 and width.To put the ... Read More

To plot an angle spectrum, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get random seed value.Initialize dt for sampling interval and find the sampling frequency.Create random data points for t.To generate noise, get nse, r, cnse and s, using ... Read More

To change the datetime tick label frequency for Matplotlib plots, we can create a dataframe and plot them in some date rangeStepsSet the figure size and adjust the padding between and around the subplots.To make potentially heterogeneous tabular data, use Pandas dataframe.Plot the dataframe using plot() method.Set X-axis major locator, ... Read More

To animate text in a plot, we can take the following stepsSet the figure size and adjust the padding between and around the subplots.Set x and y axis limit.Initialize a variable, string.Use text() method to place text over the plot.Use FuncAnimation() to animate the text. Set text on the text ... Read More

To change the default font color for all text in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Using rcParams['text.color'], we can get the default text color.We can update the text color and label color after updating the rcParams ... Read More

To add a legend to a Matplotlib pie chart, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of labels, colors, and sizes.Use pie() method to get patches and texts with colors and sizes.Place a legend on the ... Read More