To check that pylab/pyplot backend of Matplotlib runs inline, we can use get_backend() method.The method returns the name of the current backend.Exampleimport matplotlib inline = matplotlib.get_backend() print("Backend: ", inline)OutputBackend: Qt5Agg

To attach a pyplot function to a figure instance, we can use figure() method and add an axes to it.StepsSet the figure size and adjust the padding between and around the subplots.Create a new figure or activate an existing figure using figure() method.Add an '~.axes.Axes' to the figure as part of ... Read More

To plot events on time using Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplotsMake a list of data points, where event could occur.Plot a horizontal line with y, xmin and xmax.Plot identical parallel lines at the given positions.To ... Read More

To add legend to imshow() in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data using numpy.Initialize a color map.Get the unique data points from sample data, step 2.Plot each color with different labels and color, to ... Read More

To pause a pylab figure until a key is pressed of mouse is clicked, we can use"button_press_event" key event.StepsSet the figure size and adjust the padding between and around the subplots.Set the "TkAgg" background.Turn the interactive mode ON.Create a new figure or activate an existing figure.Make a variable, pause=False.Whenever "button_press_event", ... Read More

To change the linewidth and markersize separately in a factorplot, we can use the following steps −Set the figure size and adjust the padding between and around the subplots.Load an example dataset from the online repository.Use factorplot() method with scale to change the marker size.To display the figure, use show() ... Read More

To change the space between bars when drawing multiple barplots in Pandas within a group, we can use linewidth in plot() method.StepsSet the figure size and adjust the padding between and around the subplots.Make a dictionary with two columns.Create a two-dimensional, size-mutable, potentially heterogeneous tabular data.Plot the dataframe with plot() ... Read More

To install Matplotlib package with Conda, run one of the following −conda install -c conda-forge matplotlib-base conda install -c conda-forge/label/testing matplotlib-base conda install -c conda-forge/label/testing/gcc7 matplotlib-base conda install -c conda-forge/label/cf202003 matplotlib-base conda install -c conda-forge/label/matplotlib_rc matplotlib-base conda install -c conda-forge/label/gcc7 matplotlib-base conda install -c conda-forge/label/broken matplotlib-base conda install -c conda-forge/label/matplotlib-base_rc ... Read More

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