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

To export to PDF a graph based on a Pandas dataframe, 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 columns, col1, col2 and col3.Plot the dataframe using plot() method.To display the figure, use show() ... Read More

To change the autopct text color to be white in a pie chart in Matplotlib, we can take the following steps −Set the figure size and adjust the padding between and around the subplots.Make a list of hours, activities, and colors to plot pie chart.Make a list of '.Text' instances ... Read More