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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 ...
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:
Choose axis label position when calling set_xlabel and set_ylabel as well as for colorbar. import matplotlib.pyplot as plt fig , ax = plt . subplots () sc = ax . scatter ([ 1 , 2 ], [ 1 , 2 ], c = [ 1 , 2 ]) ax . set_ylabel ( 'YLabel' , loc = 'top' ) ax . set_xlabel ( 'XLabel' , loc = 'left' ) cbar = fig . colorbar ( sc ) cbar . set_label ...
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:
Matplotlib.artist.Artist.axes in Python refers to the Axes object associated with an Artist instance. The Axes object is a fundamental component of Matplotlib, representing a single plot or subplot within a figure. It contains most of the plot elements, including axis lines, tick marks, labels, and the plotting area itself.
21 Οκτ 2024 · Set Axis Labels. To set basic axis labels for your 3D plot, you can use the set_xlabel(), set_ylabel(), and set_zlabel() methods. Here’s how to create a simple 3D surface plot with custom axis labels: Output: The set_xlabel(), set_ylabel(), and set_zlabel() methods are used to set the labels for the X, Y, and Z axes, respectively.
