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. Likewise, to set a title, you need ax.settitle You can see all the available methods for an axes instance in the api docs, here. (Compare these to plt.xlabel, etc., for the state-machine interface). bar ( x, popularity, align = 'center', color = 'gray' ) ax1. 1 Answer Sorted by: 20 When using the matplotlib object-oriented interface, the correct commands to use are ax.setxlabel and ax.setylabel. The subplot function deletes existing axes that overlap new axes. bar ( x, friendliness, align = 'center', color = 'gray' ) ax2. To overlay axes, use the axes command instead. axhline ( y = 0, color = 'black' ) x = np. 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.It can happen that your axis labels or titles (or. tight: Set axes limits to the exact range of the data In matplotlib, the location of axes (including subplots) are specified in normalized figure coordinates. 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 had chosen a larger number here, you would get the title further away, ax.tposition(0.1,1. How to avoid the overlapping between 'suptitle' and 'subplots' when using python matplotlib Ask Question Asked 3 years, 11 months ago Modified 10 months ago Viewed 5k times 6 I am trying to plot a matrix to compare some data. 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() You set the position yourself to y1, which is precisely on top of the axes. The ax.axis(.) method is a convienent way of controlling the axes limits and enabling/disabling autoscaling.
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