Python matplotlib data from file tutorial 7

Published: 03 July 2024
on channel: CodeRide
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sure! here is an informative tutorial about using python's matplotlib library to plot data from a file.

matplotlib is a popular data visualization library in python that allows you to create various types of plots such as line plots, bar plots, scatter plots, histograms, and more.

in this tutorial, we will demonstrate how to read data from a file and create a simple line plot using matplotlib.

step 1: install matplotlib
if you haven't installed matplotlib yet, you can install it using pip:



step 2: prepare the data file
create a text file (e.g., data.txt) containing the data that you want to plot. each line in the file should represent a data point. for this example, let's create a file with the following data:



step 3: create the python script
now, let's create a python script to read the data from the file and plot it using matplotlib:



in this script:
we first import the matplotlib.pyplot module as plt.
we read the data from the file 'data.txt' line by line and extract the x and y values.
we then create a simple line plot using plt.plot() with x-values on the x-axis and y-values on the y-axis.
we set labels for the x-axis and y-axis, a title for the plot, enable the grid, and finally display the plot using plt.show().

step 4: run the script
save the python script and run it using the python interpreter. you should see a simple line plot displayed with the data points from the file.

that's it! you have successfully created a line plot using matplotlib with data from a file. you can further customize the plot by exploring the different options and functionalities provided by matplotlib.

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