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18 Μαΐ 2019 · Simple axes labels. ¶. Label the axes of a plot. import numpy as np import matplotlib.pyplot as plt fig = plt.figure() fig.subplots_adjust(top=0.8) ax1 = fig.add_subplot(211) ax1.set_ylabel('volts') ax1.set_title('a sine wave') t = np.arange(0.0, 1.0, 0.01) s = np.sin(2 * np.pi * t) line, = ax1.plot(t, s, lw=2) # Fixing random state for ...
Create Labels for a Plot. With Pyplot, you can use the xlabel() and ylabel() functions to set a label for the x- and y-axis.
23 Ιουν 2018 · Add Labels and Text to Matplotlib Plots: Annotation Examples. Last updated: 26 Nov 2022. Table of Contents. Add text to plot. Add labels to line plots. Add labels to bar plots. Add labels to points in scatter plots. Add text to axes. Used matplotlib version 3.x.
Learn how to effectively add and customize axis labels in Matplotlib, a crucial skill for creating clear and informative data visualizations.
Text, labels and annotations. #. Accented text. Align y-labels. Scale invariant angle label. Angle annotations on bracket arrows. Annotate Transform. Annotating a plot. Annotating Plots.
In Matplotlib, you can add a label to the X-axis to provide context and information about the data being visualized along the horizontal axis. The X-axis label can be specified using xlabel() function of matplotlib.pyplot .
One of the most common ways to format axis tick labels is by using the set_major_formatter() method. This method allows you to apply a custom formatter to the major tick labels of an axis. Here’s an example of how to use set_major_formatter() to display tick labels with two decimal places:
