To plot hatches bars using Pandas, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a dataframe using Pandas with two columns.Add an axes to the current figure as a subplot arrangement.Make a plot with kind="bars" class by name.Make a ... Read More

To surface plot/3d, we would require 2D data points, not 1D dataframe.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 a subplot arrangement using add_subplot() method.Initialize a ... Read More

To show different colors for points and line in a Seaborn regplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with key X-axis and Y-axis.Plot numeric independent variables with regression model.To display the figure, use show() ... Read More

To render 3D histograms in Python, 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.Add an axes to the cureent figure as a subplot arrangement.Create x3, y3 and z3 ... Read More

To add a legend to a matplotlib boxplot with multiple plots on the same axis, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create random data, a and b, using numpy.Create a new figure or activate an existing figure using ... Read More

To plot data against specific dates on the X-axis using matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of dates and convert them in datetime format as x.Make a list of y data points.Set the formatter ... Read More

To draw an average line for a plot in matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make x and y data points using numpy.Use subplots() method to create a figure and a set of subplots.Use plot() method for ... Read More

To remove X or Y labels from a Seaborn heatmap, we can use yticklabel=False.StepsSet the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with 5 columns.Use heatmap() method to plot rectangular data as a color-encoded matrix with yticklabels=False.To display the figure, use show() method.Exampleimport ... Read More

To display a Seaborn/Matplolib plot with a dark background, we can use "dark" in set_style() method that gives an aesthetic style to the plots.StepsSet the figure size and adjust the padding between and around the subplots.Use "dark" in set_style() method that sets the aesthetic style.Create a Pandas dataframe with two ... Read More

To detect display availability with matplotlib, we can take the following steps −StpsImport os module.Use os.environ["DISPLAY"] to get the available display.Exampleimport os env = os.environ["DISPLAY"] print("Automatic detected display availability: ", env)OutputAutomatic detected display availability: 0