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One thing you can do is to set your axis range by yourself by using matplotlib.pyplot.axis. matplotlib.pyplot.axis from matplotlib import pyplot as plt plt.axis([0, 10, 0, 20])
Set the y-axis view limits. Parameters: bottomfloat, optional. The bottom ylim in data coordinates. Passing None leaves the limit unchanged. The bottom and top ylims may also be passed as the tuple (bottom, top) as the first positional argument (or as the bottom keyword argument). topfloat, optional. The top ylim in data coordinates.
20 wrz 2023 · In this tutorial, we'll take a look at how to set the axis range (xlim, ylim) in Matplotlib, to truncate or expand the view to specific limits. This can be useful when you want to focus on a particular portion of your data or to ensure consistency across multiple plots.
29 lip 2021 · If you set sharey = 'all' parameter, all subplots you created will share the same scale for y axis: fig, ax = plt.subplots(1, 2, sharey = 'all') Finally, you can manually set limits for y axis with ax[0].set_ylim(0, 1) .
Axis scales#. By default Matplotlib displays data on the axis using a linear scale. Matplotlib also supports logarithmic scales, and other less commonscales as well. Usually this can be done directly by using theset_xscaleor set_yscalemethods.
In this article, we will explore various ways to set axis limits in Matplotlib with detailed examples. Setting Axis Limits for Line Plots Example 1: Setting Axis Limits for x-axis import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y = [2, 3, 5, 7, 11] plt.plot(x, y) plt.xlim(0, 6) # Set x-axis limits plt.show() Output:
In matplotlib, you can set the limit of the y-axis of a plot by using the set_ylim() method of the Axes class. The method takes a tuple of two values, the lower and upper limit of the y-axis. For example, to set the y-axis limit of a plot to the range (-1, 1):
