To plot the lines first and points last, we can take the following Steps −Create xpoints, y1points and y2points using numpy, to draw lines.Plot the curves using the plot() method with x, y1 and y2 points.Draw the scatter points using the scatter method.To display the figure, use the show() method.Exampleimport ... Read More

To create a stacked lines graph with Python, we can take the following Steps −Create x, y, y1 and y2 points using numpy.Plot the lines using numpy with the above data (Step 1) and labels mentioned.Fill the color between curve y=e^x and y=0, using the fill_between() method.Fill the color between curve y=2x and ... Read More

It seems difficult to change the projection of an existing axis, but we can take the following steps to create different type projections −Using subplot() method, add a subplot to the current figure, with nrows=1, ncols=3 and current index=1.Add a title to the current axis.Using subplot() method, add a subplot ... Read More

Whenever plots are saved in .eps/.ps, then the transparency of the plots get lost.To compare them, we can take the following Steps −Create x_data and y_data using numpy.Plot x_data and y_data (Step 1), using the plot() method, with less aplha value, to make it more transparent.Use the grid() method to prove the transparency of ... Read More

To plot a gradient color line in matplotlib, we can take the following steps −Create x, y and c data points, using numpy.Create scatter points over the axes (closely so as to get a line), using the scatter() method with c and marker='_'.To display the figure, use the show() method.Exampleimport ... Read More

To put some superscript in Python, we can take the following steps −Create points for a and f using numpy.Plot f = ma curve using the plot() method, with label f=ma.Add title for the plot with superscript, i.e., kgms-2.Add xlabel for the plot with superscript, i.e., ms-2.Add ylabel for the plot with superscript, i.e., ... Read More

To rotate tick labels for Seaborn barplot, we can take the following steps −Make a dataframe using Pandas.Plot the bar using Seaborn's barplot() method.Rotate the xticks label by 45 angle.To display the figure, use the show() method.Exampleimport pandas import matplotlib.pylab as plt import seaborn as sns import numpy as np plt.rcParams["figure.figsize"] = [7.50, 3.50] ... Read More

To plot interactive matplotlib’s imshow window, we can take the following steps −Using the subplots() method, create a figure and a set of subplots.Create an array to plot an image, using numpy.Display the image using the imshow() method.To make a slider axis, create an axes and a slider, with facecolor=yellow.To update ... Read More

To differentiate antialiasing through curves, we can take the following Steps −Add a subplot to the current figure, using the subplot() method, where nrows=1, ncols=2 and index=1.Plot the curve using the plot() method, where antialiased flag is false and color is red.Place the legend at the upper-left corner using the legend() method.Add ... Read More

To get the legend as a separate picture, we can take the following steps −Create x and y points using numpy.Using the figure() method, create a new figure, or activate an existing figure for Line plot and Legend plot figures.Add an '~.axes.Axes' to the figure as part of a subplot arrangement, ... Read More