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28 Νοε 2018 · Simply using plt.legend() tells you what data is being plotting: You are using someBoolean as the hue. So you are essentially creating two lines by applying a Boolean mask to your data. One line is for values that are False (shown as 0 on the legend above), the other for values that are True (shown as 1 on the legend above).
1 Αυγ 2024 · To create a legend in Matplotlib, you can use the legend() function after plotting your data. This function adds a legend to your plot, which helps to identify different data series. import matplotlib.pyplot as plt # Plot data plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') # Create a legend plt ...
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.
from matplotlib.lines import Line2D custom_lines = [Line2D ([0], [0], color = cmap (0.), lw = 4), Line2D ([0], [0], color = cmap (.5), lw = 4), Line2D ([0], [0], color = cmap (1.), lw = 4)] fig, ax = plt. subplots lines = ax. plot (data) ax. legend (custom_lines, ['Cold', 'Medium', 'Hot'])
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 ...
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.
8 Φεβ 2024 · Lines 10, 11, and 12 set the title and axis labels of the line chart to custom values via the set_title(), set_xlabel(), and set_ylabel() functions. Executing the code cell with the Convert to Excel values option produces the following line chart:
