![]() ![]() 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. Columns and rows can be spanned by specifying a range of grid cells. The integers describe the position of subplots: first digit is the. Adds a single subplot on a figure, with 1-based indexing (inherited from Matlab). In order to split the figure you should give 3-digit integer as a parameter to subplot(). axhline ( y = 0, color = 'black' ) x = np. pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. Adds a single axes at a location specified by left, bottom, width, height in fractions of figure width or height. set ( xticks = x, xticklabels = animals ) ax. ![]() 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!) (In matplotlib terms, this sets the aspect ratio of the plot to 1. equal: Set axes scales such that one cm/inch in the y-direction is the same as one cm/inch in the x-direction. The outline of matplotlib axes are controlled by three things: The axes bounding box within the figure (controlled by a subplot specification or a specific extent such as fig.tight: Set axes limits to the exact range of the data.There are other options as well see the documentation for full details. However, you'll probably use axis mostly with either the "tight" or "equal" options. If you'd like to manually set all of the x/y limits at once, you can use ax.axis for this, as well (note that we're calling it with a single argument that's a sequence, not 4 individual arguments): ax.axis() If you ever need to get all of the current plot limits, calling ax.axis() with no arguments will return the xmin/max/etc: xmin, xmax, ymin, ymax = ax.axis() ![]() The ax.axis(.) method is a convienent way of controlling the axes limits and enabling/disabling autoscaling. ![]()
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