Using plt.get_current_fig_manager() and mng.full_screen_toggle() methods, we can maximise a plot.StepsAdd a subplot to the current figure, where nrow = 1, ncols = 1 and index = 1.Create a pie chart using list [1, 2, 3] and pie() method.Return the figure manager of the current figure, using get_current_fig_manager() method. The figure ... Read More

First, we can create two axes using the subplot method where nrows=2, ncols=1. That means, we can have two indices to plot the desired plot. We can use ax1.get_shared_x_axes().join(ax1, ax2) method for our plot.StepsCreate two lists of the numbers.Add a subplot to the current figure, ax1, where nrows = 2, ... Read More

In this program, we can initialize some input values and then try to plot a bar using those values. We can instantiate a figure and axis so that we could set the label, ticks, and annotate the height and width of the bar.StepsMake a list of years.Make a list of ... Read More

Log helps to make a plot with log scaling on both the X and Y axis, whereas symlog (symmetric log) is used for axis scaling.StepsFirst, we can adjust the subplot layout parameters.Return an evenly spaced value (t) within a given interval, using the numpy.arrange() method.Add a subplot to the current ... Read More

We can plot a diagram where a number of students will be plotted on the X-axis and the marks obtained by them will be plotted on the Y-axis. Also, we can set the color for different marks obtained by the students.StepsMake a list of the number of students.Make a list ... Read More

Let’s understand the difference between plot, axes, and figure with an example.Plot − Plot helps to plot just one diagram with (x, y) coordinates.Axes − Axes help to plot one or more diagrams in the same window and sets the location of the figure.Figure − This method provides a top-level ... Read More

Seaborn is used to visualizing the random distribution and we can use matplotlib interface to show this distribution over a diagram.We can take the following steps to show the diagram −Figure level interface for drawing distribution plots onto a Face Grid. This function provides access to several approaches for visualizing ... Read More

To set the matplotlib figure default size in iPython, use the following steps −To check the default figure size, use plt.rcParams["figure.figsize"] over the ipython shell.Now to set the figure size, override the plt.rcParams["figure.figsize"] variable with a tuple i.e., (20, 10).After overriding the plt.rcParams["figure.figsize"] variable, you can use it to get ... Read More

To fill color between two vertical lines, use the following steps −Using plt.subplots() method, create a figure and a set of subplots. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call.To draw two vertical lines, initialize x = ... Read More

To remove or adapt the border of the frame of legend we can follow the following steps −Set the X-axis label using the plt.xlabel() method.Set the Y-axis label using the plt.ylabel() method.Plot the lines using the plt.plot() method with [9, 5], [2, 5] and [4, 7, 8] array.Initializing two variables; ... Read More