To reuse plots 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 using figure() method.Plot a line with some input lists.To reuse the plot, update y data and the linewidth ... Read More

To modify a Matplotlib legend after it has been created, we can have multiple methods to modify the created legend.Set the figure size and adjust the padding between and around the subplots.Plot a line using plot() method, with two lists and a label.Use legend() method to place a legend over ... Read More

To plot error bars from a dataframe using Seaborn FacetGrid, we can use following steps −Get a two-dimensional, size-mutable, potentially heterogeneous tabular data.Multi-plot grid for plotting conditional relationships.Apply a plotting function to each facet's subset of the data.To display the figure, use show() method.Exampleimport pandas as pd import seaborn as ... Read More

To show pyplot images on a console, we can use pyplot.show() method.StepsSet the figure size and adjust the padding between and around the subplots.Create random data of 5☓5 dimension.Use imshow() method, with data. Display the data as an image, i.e., on a 2D regular raster.To display the figure, use show() ... Read More

To produce a barcode in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of binary numbers, i.e., 0s and 1s.Create a new figure or activate an existing figure with dpi=100Add an axes to the figure.Turn off ... Read More

To set label for an already plotted line in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Plot the line with an input list.Set the label of the created line.Place a legend on the plot at the "upper right" ... Read More

To handle times with a time zone in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a dataframe, i.e., two-dimensional, size-mutable, potentially heterogeneous tabular data.To handle times with a time zone, use pytz library that brings the Olson ... Read More

To change the default path for "save the figure", we can use rcParams["savefig.directory"] to set the directory path.StepsSet the figure size and adjust the padding between and around the subplots.Create random data using numpy.Use imshow() method. Display the data as an image, i.e., on a 2D regular raster.Save the figure ... Read More

To have actual or any custom values in Matplotlib pie chart displayed, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make lists of labels, fractions, explode position and get the sum of fractions to calculate the percentageMake a pie chart ... Read More

To plot MFCC in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Open and read a WAV file.Compute MFCC features from an audio signal.Create a figure and a set of subplots.Interchange two axes of an arrayDisplay the data as ... Read More