How do you plot two figures in Python?
Ava Robinson
Updated on March 14, 2026
Use matplotlib. pyplot. show() to show two figures at once
- x1 = [1, 2, 3]
- y1 = [4, 5, 6]
- x2 = [1, 3, 5]
- y2 = [6, 5, 4]
- plot1 = plt. figure(1)
- plt. plot(x1, y1)
- plot2 = plt. figure(2)
- plt. plot(x2, y2)
Similarly, how do you plot side by side in Python?
Use matplotlib. pyplot. subplot() to plot side by side plots
To draw the first subplot, call matplotlib. pyplot. subplot(nrows, ncols, plot_number) with nrows as 1, ncols as 2, and plot_number as 1. To draw the second subplot alongside the first subplot, matplotlib.
Additionally, how do you plot a figure in Python? Following steps were followed:
- Define the x-axis and corresponding y-axis values as lists.
- Plot them on canvas using . plot() function.
- Give a name to x-axis and y-axis using . xlabel() and . ylabel() functions.
- Give a title to your plot using . title() function.
- Finally, to view your plot, we use . show() function.
Keeping this in view, how do you plot two values in Python?
Python Code Editor:
- import matplotlib. pyplot as plt.
- x1 = [10,20,30]
- y1 = [20,40,10]
- plt. plot(x1, y1, label = "line 1")
- x2 = [10,20,30]
- y2 = [40,10,30]
- plt. plot(x2, y2, label = "line 2")
- plt. xlabel('x - axis')
What is subplot in Python?
The matplotlib. pyplot. subplots method provides a way to plot multiple plots on a single figure. Given the number of rows and columns , it returns a tuple ( fig , ax ), giving a single figure fig with an array of axes ax .
Related Question Answers
How do you display multiple images in python?
Approach- Import module.
- Load the Multiple images using cv2.imread()
- Concatenate the images using concatenate(), with axis value provided as per orientation requirement.
- Display all the images using cv2.imshow()
- Wait for keyboard button press using cv2.waitKey()
How do you split a plot in Python?
Use matplotlib. pyplot. subplot() to make multiple plotspyplot. subplot(nrows, ncols, plot_number) to create a new subplot of a current plot matplotlib. pyplot positioned at plot_number in a grid with nrows rows and ncols columns. Under each call, modify the plot as desired before the creation of another subplot.
How do you plot multiple histograms in Python?
To make multiple overlapping histograms, we need to use Matplotlib pyplot's hist function multiple times. For example, to make a plot with two histograms, we need to use pyplot's hist() function two times. Here we adjust the transparency with alpha parameter and specify a label for each variable.How do you add a legend in Python?
The simplest legend can be created with the plt.legend() command, which automatically creates a legend for any labeled plot elements:- import matplotlib.pyplot as plt plt. style.
- x = np. linspace(0, 10, 1000) fig, ax = plt.
- ax. legend(loc='upper left', frameon=False) fig.
- ax.
- ax.
- In [7]:
- In [8]:
How do you plot a subplot in Python?
pyplot. subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. For more advanced use cases you can use GridSpec for a more general subplot layout or Figure.How do you plot a DataFrame?
Here are the steps to plot a scatter diagram using Pandas.- Step 1: Prepare the data. To start, prepare the data for your scatter diagram.
- Step 2: Create the DataFrame. Once you have your data ready, you can proceed to create the DataFrame in Python.
- Step 3: Plot the DataFrame using Pandas.
How do you show multiple plots in python?
Use matplotlib. pyplot. show() to show two figures at once- x1 = [1, 2, 3]
- y1 = [4, 5, 6]
- x2 = [1, 3, 5]
- y2 = [6, 5, 4]
- plot1 = plt. figure(1)
- plt. plot(x1, y1)
- plot2 = plt. figure(2)
- plt. plot(x2, y2)
How do you overlay two plots in python?
2 Answers. You simply call the scatter function twice, matplotlib will superimpose the two plots for you. You might want to specify a color, as the default for all scatter plots is blue. This is perhaps why you were only seeing one plot.How do you plot a bar graph in Python?
Matplotlib charts can be horizontal, to create a horizontal bar chart:- import matplotlib.pyplot as plt; plt.rcdefaults()
- import numpy as np.
- import matplotlib.pyplot as plt.
- objects = ('Python', 'C++', 'Java', 'Perl', 'Scala', 'Lisp')
- performance = [10,8,6,4,2,1]
- plt.barh(y_pos, performance, align='center', alpha=0.5)
Is Matplotlib included in Python?
Is Matplotlib Included in Python? Matplotlib is not a part of the Standard Libraries which is installed by default when Python, there are several toolkits which are available that extend python matplotlib functionality.Why Seaborn is used in Python?
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introductory notes.What is figure in Python?
The purpose of using plt. figure() is to create a figure object. The whole figure is regarded as the figure object. It is necessary to explicitly use plt. figure() when we want to tweak the size of the figure and when we want to add multiple Axes objects in a single figure.Which Python package is used for 2d graphics?
Abstract MatplotlibHow do I get Matplotlib?
Installing matplotlib on WindowsGo to click Downloads, and look for Visual Studio Community. This is a free set of developer tools for Windows. Download and run the installer. Next you'll need an installer for matplotlib.
