To plot Pandas data frames in Pie charts using Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a dataframe of two-dimensional, size-mutable, potentially heterogeneous tabular data.Plot the dataframe with activities index using pie() methodTo display the figure, use ... Read More

To force matplotlib to show the values on X-axis as integers, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create two lists, x and y, of data points.Plot x and y using plot() method.Make a new list for only integers ... Read More

To plot certain rows of a Pandas dataframe, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas data frame, df. It should be a two-dimensional, size-mutable, potentially heterogeneous tabular data.Make rows of Pandas plot. Use iloc() function to ... Read More

To move X-axis in Matplotlib during real-time plot, 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.Create x and y data points using numpy.Plot x and y data points using plot() method.Make an ... Read More

To update a bar plot dynamically in Matplotlib, 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.Make a list of data points and colors.Plot the bars with data and colors, using bar() ... Read More

To draw more type of lines 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 data points using numpy.Plot x and y data points using plot() method, with an array of dashes.To display the figure, ... Read More

To move the legend to outside of a Seaborn scatterplot, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a Pandas dataframe with three coulmns, column1, column2 and column3.Draw a scatterplot with possibility of several semantic groupings.To place the legend ... Read More

To change the marker size with pandas.plot(), we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a Pandas dataframe with three columns, col1, col2 and col3.Use pandas.plot() with marker="*" and markersize=15.To display the figure, use show() method.Exampleimport matplotlib.pyplot as plt ... Read More

To set timeout to pyplot.show() in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Create a new backend-specific subclass of '.Timer'.Add a callback function that will be called whenever one of the plt.close() properties changes.Plot a list of data ... Read More

To pass arguments to animation.FuncAnimation() for a contour plot in Matplotlib in Python, we can take the following steps −Create a random data of 10☓10 dimension.Create a figure and a set of subplots using subplots() method.Make an animation by repeatedly calling a function *func* using FuncAnimation() classTo update the contour ... Read More