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To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: ax . plot ([ 1 , 2 , 3 ]) ax . plot ([ 5 , 6 , 7 ]) ax . legend ([ 'First line' , 'Second line' ])
1 sie 2013 · I have been able to create a series of plots (6 x 3) in matplotlib and save them to a PDF. I would like a single legend per page. However, each legend overlasp the x-axis of the bottom center plot on each page. I tried changing the size of the image. fig = plot.figure(figsize=(8.27, 11.69), dpi=100) but that did not work.
This legend guide extends the legend docstring - please read it before proceeding with this guide. This guide makes use of some common terms, which are documented here for clarity: legend entry #. A legend is made up of one or more legend entries. An entry is made up of exactly one key and one label.
5 cze 2020 · Let’s see how we can generate a simple random variable, estimate and plot the probability density function (PDF) from the generated data and then match it with the intended theoretical PDF. Normal random variable is considered here for illustration.
23 mar 2019 · Matplotlib Examples: Displaying and Configuring Legends. Last updated: 23 Oct 2022. Table of Contents. Add legend to plot. Add legend to multiple plots in the same axis. Add legend to axis. Change legend location. Disable legend. Change number of columns in legend.
Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in matplotlib for enhancing your data visualizations.
1 sie 2024 · The legend() function in Matplotlib adds a legend to the plot. The legend helps to identify different data series by using labels specified in the label parameter of the plot functions. import matplotlib.pyplot as plt # Plot data with labels plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') # Add a ...
