To plot single data with two Y-Axes (Two units) in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create speed and acceleration data points using numpy.Add a subplot to the current figure.Plot speed data points using plot() method.Create a ... Read More

To align axis label to the right (X-axis label) or top (Y-axis label), 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.Initialize a variable, N, for number data samples.Plot x and y data ... Read More

To show a plot on a webpage such that the plot could be interactive, we can take the following steps −Install Bokeh and import figure, show, and output_file.Configure the default output state to generate the output saved to a file when:func:'show' is called.Create a new Figure for plotting.Render the images ... Read More

To create a legend with Pandas and matplotib.pyplot(), we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a two-dimensional, size-mutable, potentially heterogeneous tabular data.Plot the dataframe instance with bar class by name and legend is True.To display the figure, use ... Read More

To show a frequency plot in Python/Pandas dataframe using Matplotlib, 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.Make a two-dimensional, size-mutable, potentially heterogeneous tabular data.Return a Series containing the counts of unique ... Read More

To plot Power Spectral Density in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, dt.Create t, nse , r, cnse, s, and r data points using numpyCreate a figure and a set of subplots.Plot t and ... Read More

To print Celsius symbol with Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, N.Create T and P data points using numpy.Plot T and P using plot() method.Set the label for the X-axis.To display the figure, use ... Read More

To automate legend creation in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a variable, N, for number of sample data.Create x, y, c and s data using numpy.Create a figure and a set of subplots using subplots() ... Read More

To plot a nested pie chart in Matplotlib, 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.Initialize a variable size, create vals, cmap, outer_colors, inner_colors data using numpy.Use pie() function to make pie charts.To ... Read More

To set the networkx edge labels offset, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize a graph with edges, name, or graph attributes.Add multiple nodes.Add all the edges using add_edge_from() method.Position the nodes using Fruchterman-Reingold force-directed algorithm.Draw the graph ... Read More