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matplotlib.axes.Axes.set_xlabel. #. Axes.set_xlabel(xlabel, fontdict=None, labelpad=None, *, loc=None, **kwargs) [source] #. Set the label for the x-axis. Parameters:
- Matplotlib.Axes
The Axes class represents one (sub-)plot in a figure. It...
- Labels
Simple axes labels. ¶. Label the axes of a plot. import...
- Matplotlib.Axes
The Axes class represents one (sub-)plot in a figure. It contains the plotted data, axis ticks, labels, title, legend, etc. Its methods are the main interface for manipulating the plot.
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.
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 ...
By mastering the art of formatting axes in Matplotlib, you’ll be able to create professional-looking charts and graphs that effectively communicate your data. When formatting axes in Matplotlib, you have control over various elements, including: Axis labels. Tick marks and tick labels. Axis limits and scales.
Learn how to effectively add and customize axis labels in Matplotlib, a crucial skill for creating clear and informative data visualizations.
23 Νοε 2017 · 1 Answer. Sorted by: 8. You need to use plt.xticks() as shown here. It controls what ticks and labels to use for your x-axis. In your example, you will have to add another line as shown below:
