How To Plot Multiple Scatter Plots In Matplotlib In Matplotlib we can draw multiple graphs in a single plot in two ways One is by using subplot function and other by superimposition of second graph on the first i e all graphs will appear on the same plot We will look into both the ways one by one Multiple Plots using subplot Function
You can use sharex or sharey to align the horizontal or vertical axis fig ax1 ax2 plt subplots 2 sharex True fig suptitle Aligning x axis using sharex ax1 plot x y ax2 plot x 1 y Plotting Multiple Scatter Plots in Matplotlib If you d like to compare more than one variable against another such as check the correlation between the overall quality of the house against the sale price as well as the area above ground level there s no need to make a 3D plot for this
How To Plot Multiple Scatter Plots In Matplotlib
How To Plot Multiple Scatter Plots In Matplotlib
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Matplotlib Scatter Plot Tutorial And Examples
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Python Matplotlib Scatter Plot
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The Colormap instance or registered colormap name used to map scalar data to colors This parameter is ignored if c is RGB A normstr or Normalize optional The normalization method used to scale scalar data to the 0 1 range before mapping to colors using cmap 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 Parameters nrows ncolsint default 1 Number of rows columns of the subplot grid sharex shareybool or none all row col default False
You can use the following syntax to create multiple Matplotlib plots in one figure import matplotlib pyplot as plt define grid of plots fig axs plt subplots nrows 2 ncols 1 add data to plots axs 0 plot variable1 variable2 axs 1 plot variable3 variable4 The following examples show how to use this function in practice There are several ways to do it The subplots method creates the figure along with the subplots that are then stored in the ax array For example import matplotlib pyplot as plt x range 10 y range 10 fig ax plt subplots nrows 2 ncols 2 for row in ax for col in row col plot x y plt show
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Matplotlib Tutorial Multiple Plots And Multiple Plot Features
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Multiple subplots Multiple subplots Simple demo with multiple subplots For more options see Creating multiple subplots using plt subplots import matplotlib pyplot as plt import numpy as np Create some fake data x1 np linspace 0 0 5 0 y1 np cos 2 np pi x1 np exp x1 x2 np linspace 0 0 2 0 y2 np cos 2 np pi x2 Create a scatter plot using plt scatter Use the required and optional input parameters Customize scatter plots for basic and more advanced plots Represent more than two dimensions with plt scatter You can get the most out of visualization using plt scatter by learning more about all the features in Matplotlib and dealing with data using
1 Add this to the second code fig ax1 ax2 plt subplots 1 2 figsize 12 9 r beginners Apr 22 2022 at 12 27 r beginners not directly related to the question i copied OPs code added your line at the beginning Import matplotlib pyplot as plt import numpy as np plt style use mpl gallery make the data np random seed 3 x 4 np random normal 0 2 24 y 4 np random normal 0 2 len x size and color sizes np random uniform 15 80 len x colors np random uniform 15 80 len x plot fig ax plt subplots ax scatter x y s size
Matplotlib Tutorial Multiple Plots And Multiple Plot Features
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How To Plot Multiple Scatter Plots In Matplotlib - There are several ways to do it The subplots method creates the figure along with the subplots that are then stored in the ax array For example import matplotlib pyplot as plt x range 10 y range 10 fig ax plt subplots nrows 2 ncols 2 for row in ax for col in row col plot x y plt show