比如说matplotlib中的3行子图,一行的xlabels
可以与下一行的标题重叠。一个人必须摆弄pl.subplots_adjust(hspace)
,这很烦人。
是否有hspace
的配方可以防止重叠并适用于任何nrow?
""" matplotlib xlabels overlap titles ? """
import sys
import numpy as np
import pylab as pl
nrow = 3
hspace = .4 # of plot height, titles and xlabels both fall within this ??
exec "\n".join( sys.argv[1:] ) # nrow= ...
y = np.arange(10)
pl.subplots_adjust( hspace=hspace )
for jrow in range( 1, nrow+1 ):
pl.subplot( nrow, 1, jrow )
pl.plot( y**jrow )
pl.title( 5 * ("title %d " % jrow) )
pl.xlabel( 5 * ("xlabel %d " % jrow) )
pl.show()
我的版本:
Qt4Agg
(TkAgg
=> Tkinter回调中的异常)(对于许多额外的观点,任何人都可以概述matplotlib的包装工/垫片如何工作,沿着Tcl / Tk书中第17章“打包者”的路线?)
答案 0 :(得分:43)
您可以使用plt.subplots_adjust来更改子图链接之间的间距
subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=None, hspace=None)
left = 0.125 # the left side of the subplots of the figure
right = 0.9 # the right side of the subplots of the figure
bottom = 0.1 # the bottom of the subplots of the figure
top = 0.9 # the top of the subplots of the figure
wspace = 0.2 # the amount of width reserved for blank space between subplots
hspace = 0.2 # the amount of height reserved for white space between subplots
答案 1 :(得分:34)
Jose发布的链接已经更新,pylab现在有一个tight_layout()
函数可以自动执行此操作(在matplotlib版本1.1.0中)。
http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.tight_layout
http://matplotlib.org/users/tight_layout_guide.html#plotting-guide-tight-layout
答案 2 :(得分:18)
我觉得这很棘手,但有一些信息here at the MatPlotLib FAQ。它相当麻烦,需要找出个别元素(ticklabels)占用的空间......
<强>更新强>
该页面指出tight_layout()
函数是最简单的方法,它会尝试自动纠正间距。
否则,它会显示获取各种元素(例如标签)大小的方法,以便您可以更正轴元素的间距/位置。以下是上述FAQ页面中的示例,该页面确定了非常宽的y轴标签的宽度,并相应地调整了轴宽度:
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(range(10))
ax.set_yticks((2,5,7))
labels = ax.set_yticklabels(('really, really, really', 'long', 'labels'))
def on_draw(event):
bboxes = []
for label in labels:
bbox = label.get_window_extent()
# the figure transform goes from relative coords->pixels and we
# want the inverse of that
bboxi = bbox.inverse_transformed(fig.transFigure)
bboxes.append(bboxi)
# this is the bbox that bounds all the bboxes, again in relative
# figure coords
bbox = mtransforms.Bbox.union(bboxes)
if fig.subplotpars.left < bbox.width:
# we need to move it over
fig.subplots_adjust(left=1.1*bbox.width) # pad a little
fig.canvas.draw()
return False
fig.canvas.mpl_connect('draw_event', on_draw)
plt.show()