set ( ylabel = 'Popularity', ylim = map ( lambda x : 1.08 * x, )) for ax in ax1, ax2 : _formatAxes ( ax ) plt. set ( ylabel = 'Friendliness', ylim = map ( lambda x : 1.08 * x, ) ) ax2. bar ( x, popularity, align = 'center', color = 'gray' ) ax1. bar ( x, friendliness, align = 'center', color = 'gray' ) ax2. axhline ( y = 0, color = 'black' ) x = np. Passing both positional and keyword arguments is invalid and will raise a. All input parameters must be floats greater than -0.5. The padding added to each limit of the Axes is the margin times the data interval. set ( xticks = x, xticklabels = animals ) ax. Axes.margins(margins, xNone, yNone, tightTrue) source. subplots_adjust ( hspace = 0 ) def _formatAxes ( ax ): ax. data = animals, friendliness, popularity = zip ( * data ) fig, ( ax1, ax2 ) = plt. # %load exercises/4.2-spines_ticks_and_subplot_spacing.py import matplotlib.pyplot as plt import numpy as np # Try to reproduce the figure shown in images/exercise_4.2.png # This one is a bit trickier! # Here's the data. That doesn't mean that the axes "box" will be square, though!) Weve used the hspace and wspace arguments of plt.subplotsadjust, which specify the spacing along the height and. Meanwhile, if you do not want this behavior (i.e. If the figure already has a subplot with key (args, kwargs) then it will simply make that subplot current and return it.This behavior is deprecated. (In matplotlib terms, this sets the aspect ratio of the plot to 1. If you do not want this behavior, use the Figure.addsubplot method or the pyplot.axes function instead.
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