3/29/2024 0 Comments Make a scatter plot matplotlibThis means we expect to see the x values centered around 2.0, and y values around 8.0. ![]() The y data is from a normal distribution where the mean is 8.0 and STD 3.0.The x data is from a normal distribution where the mean is 2.0 and STD 1.0.Then let’s create a scatter plot from the randomized data: import numpy Let’s create two lists filled with 100 numbers picked from the normal distribution. Make sure to have NumPy installed on your system: pip install numpy This example uses NumPy to generate random data from a normal distribution. Here is the resulting scatter plot: Example-Randomly Distributed Data Call (x, y) for creating a scatter plot.įor example, let’s create a scatter plot with 100 random x and y values as the data points: import matplotlib.pyplot as plt.Specify a group of data points x and y.If you don’t have it yet, install it by running the following command in your command line: pip install matplotlib How to Create a Scatter Plot in Python To create a scatter plot, you need to have matplotlib module installed. To create scatter plots for visualizing these relationships in Python, first install matplotlib on your machine. These relationships can be linear, non-linear, positive, negative, strong, or weak. Generally, scatter plots are used to demonstrate the relationship between two variables. ![]() Given randomized x and y data, the scatter plot looks something like this: Scatter Plots in Python Where x and y are lists of numbers or the data points for the plot.įor example, let’s create a scatter plot where x and y are lists of random numbers between 1 and 100: import matplotlib.pyplot as plt You can create scatter plots in Python by using the matplotlib as follows: import matplotlib.pyplot as plt
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