To convert from scatter size to data coordinates in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and s data points using numpy.Create a figure and a set of subplots.Make a scatter plot with X and s, ... Read More

To load a .ttf file in Matplotlib using mpl.rcParams, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Initialize the path for the .ttf file.Get an instance of a class for storing and manipulating the font properties.Set the font family with ... Read More

To scroll backward and forwards (left and right keys) through Matplotlib plots, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create curr_pos and y using numpy.Create a new figure or activate an existing figure using figure() method.Bind the function to ... Read More

To increase the thickness of error line in a Matplotlib bar chart, we can use err_kw=dict() with their properties.StepsSet the figure size and adjust the padding between and around the subplots.Make a dictionary of bar details.Create a figure and a set of subplots.Use bar() method to make a bar plot ... Read More

To plot a time series array, with confidence intervals displayed in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Get the time series array.Initialize a variable, n_steps, to get the mean and standard deviation.Get the under and above lines ... Read More

To plot a watermark image in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Return a sample data file using get_sample_data() method.Create a figure and a set of subplots.Plot the data points using plot() method, with alpha=0.7 and marker ... Read More

To show different X and Y scales in zoomed inset in Matplotlib, we can use inset_axes() method.StepsSet the figure size and adjust the padding between and around the subplots.Create x and y data points using numpy.Add a subplot to the current figure.Plot x and y data points using plot() method.Create ... Read More

To write your own LaTeX preamble in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create x and y random data points using numpy.Plot x and y data points using plot() method. Use LaTex formatting for the label.label="$y=e^{x}$"Place a ... Read More

To plot y=1/x as a single graph in Python, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create data points using numpy.Plot x and 1/x data points using plot() method.Place a legend on the figure.To display the figure, use show() ... Read More

To change the separation between tick labels and axis labels in Matplotlib, we can use labelpad in xlabel() method.StepsSet the figure size and adjust the padding between and around the subplots.Plot data points of a list using plot() method.Set the ticks on the axes.Set X and Y axes margins to ... Read More