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Jan 3, 2024 · Pyplot is a Matplotlib module that provides a MATLAB-like interface. Matplotlib is designed to be as usable as MATLAB, with the ability to use Python and the advantage of being free and open-source.
- Introduction to pyplot# matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.
- Plotting with keyword strings# There are some instances where you have data in a format that lets you access particular variables with strings. For example, with structured arrays or pandas.DataFrame.
- Plotting with categorical variables# It is also possible to create a plot using categorical variables. Matplotlib allows you to pass categorical variables directly to many plotting functions.
- Controlling line properties# Lines have many attributes that you can set: linewidth, dash style, antialiased, etc; see matplotlib.lines.Line2D. There are several ways to set line properties.
Pyplot. Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias: import matplotlib.pyplot as plt. Now the Pyplot package can be referred to as plt.
matplotlib.pyplot is a state-based interface to matplotlib. It provides an implicit, MATLAB-like, way of plotting. It also opens figures on your screen, and acts as the figure GUI manager. pyplot is mainly intended for interactive plots and simple cases of programmatic plot generation:
Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.
Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python. Matplotlib makes easy things easy and hard things possible. Create publication quality plots. Make interactive figures that can zoom, pan, update. Customize visual style and layout. Export to many file formats.
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May 30, 2023 · Matplotlib is a powerful and very popular data visualization library in Python. In this tutorial, we will discuss how to create line plots, bar plots, and scatter plots in Matplotlib using stock market data in 2022. These are the foundational plots that will allow you to start understanding, visualizing, and telling stories about data.
