To inset sharex and sharey from two axes in matplotlib, we can use 'none', i.e., False or 'none'. Each subplot X- or Y-axis will be independent.StepsSet the figure size and adjust the padding between and around the subplots.Initialize two variables rows and cols.Create a figure and a set of subplots.Iterate ... Read More

To obtain 3D colored surface via Python, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Get 3D data, i.e., z.Create a new figure or activate an existing figure.Get the 3D axes.Create a surface ... Read More

To set the xticklabels for date in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create two lists of epochs and values.Get a list of dates from epochs.Create a figure and a set of subplots.Plot the date and values ... Read More

To scatter a 2D numpy array in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create random data of 100×3 dimension.Use the scatter() method to plot 2D numpy array, i.e., data.To display the figure, use show() method.Exampleimport numpy as ... Read More

To avoid overlapping error bars in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a list of names.Get the data points for y1 and y2, and errors ye1, ye2.Create a figure and a set of subplots.Create a mutable ... Read More

To remove the Y-axis from a Pylab-generated picture, we can get the current axis of the plot and use the set_visible(False) method.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Plot the x and y data points using plot() method.Get ... Read More

To flush all current figures in matplotlib, use close('all') method.StepsSet the figure size and adjust the padding between and around the subplots.Create a figure with the title "First Figure".Create another figure with the title "Second Figure".To close all figures, use close('all').To display the figure, use show() method.Examplefrom matplotlib import pyplot ... Read More

To create multiple series scatter plots with connected points using seaborn, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create a Pandas data frame of two-dimensional, size-mutable, potentially heterogeneous tabular data.Multi-plot grid for plotting conditional relationships.Apply a plotting function to ... Read More

To make a histogram with bins of equal area in matplotlib, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create random data points using numpy.Plot a histogram with equal_area method that makes an equal area of the patches.To display the ... Read More

To combine two heatmaps in seaborn, we can take the following steps −StepsSet the figure size and adjust the padding between and around the subplots.Create two Pandas data frames.Create a figure and a set of subplots, ax1 and ax2.Plot the rectangular data as a color-encoded matrix, on ax1 and ax2.Move ... Read More