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  1. Thus, I need a legend; however, taking a look at the following example below (from the official site): ax = subplot(1,1,1) p1, = ax.plot([1,2,3], label="line 1") p2, = ax.plot([3,2,1], label="line 2") p3, = ax.plot([2,3,1], label="line 3") handles, labels = ax.get_legend_handles_labels() # reverse the order.

  2. 25 Οκτ 2015 · Try the following, you will see both lines show up on the legend: import matplotlib.pyplot as plt plt.plot([1, 2, 3], color='red', label='line one') plt.plot([4, 6, 8], color='blue', label='line two') plt.legend() plt.show()

  3. 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']) Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.

  4. Legend Demo. #. There are many ways to create and customize legends in Matplotlib. Below we'll show a few examples for how to do so. First we'll show off how to make a legend for specific lines. import matplotlib.pyplot as plt import numpy as np import matplotlib.collections as mcol from matplotlib.legend_handler import HandlerLineCollection, ...

  5. fig, ax = plt. subplots line1, = ax. plot ([1, 2, 3], label = "Line 1", linestyle = '--') line2, = ax. plot ([3, 2, 1], label = "Line 2", linewidth = 4) # Create a legend for the first line. first_legend = ax. legend (handles = [line1], loc = 'upper right') # Add the legend manually to the Axes. ax. add_artist (first_legend) # Create another ...

  6. Basic Usage of Multiple Columns in a Matplotlib Legend. To use multiple columns in a Matplotlib legend, we can utilize the ncol parameter in the legend () function. This parameter allows us to specify the number of columns we want in our legend. Here’s an example demonstrating how to create a two-column legend:

  7. This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels.

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