有一个similar question - 但我不能让那里提出的解决方案有效。
这是一个长标题的示例图:
#!/usr/bin/env python
import matplotlib
import matplotlib.pyplot
import textwrap
x = [1,2,3]
y = [4,5,6]
# initialization:
fig = matplotlib.pyplot.figure(figsize=(8.0, 5.0))
# lines:
fig.add_subplot(111).plot(x, y)
# title:
myTitle = "Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all."
fig.add_subplot(111).set_title("\n".join(textwrap.wrap(myTitle, 80)))
# tight:
(matplotlib.pyplot).tight_layout()
# saving:
fig.savefig("fig.png")
它给出了
AttributeError: 'module' object has no attribute 'tight_layout'
如果我将(matplotlib.pyplot).tight_layout()
替换为fig.tight_layout()
,则会给出:
AttributeError: 'Figure' object has no attribute 'tight_layout'
所以我的问题是 - 如何使标题符合情节?
答案 0 :(得分:52)
这是我最终使用的内容:
#!/usr/bin/env python3
import matplotlib
from matplotlib import pyplot as plt
from textwrap import wrap
data = range(5)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(data, data)
title = ax.set_title("\n".join(wrap("Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all.", 60)))
fig.tight_layout()
title.set_y(1.05)
fig.subplots_adjust(top=0.8)
fig.savefig("1.png")
答案 1 :(得分:6)
一种方法是简单地改变标题的字体大小:
import pylab as plt
plt.rcParams["axes.titlesize"] = 8
myTitle = "Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all."
plt.title(myTitle)
plt.show()
在您回答的答案中,其他几个好的解决方案涉及添加换行符。甚至还有automatic solution根据图形调整大小!
答案 2 :(得分:1)
我更喜欢以这种方式适应@Adobe的解决方案:
plt.title("First Title\n%s" % "\n".join(wrap("Second Title", width=60)))
答案 3 :(得分:1)
matplotlib
版本3.1.2文档的正式答案
plt.savefig(...)
似乎可以与wrap
一起正常使用import matplotlib.pyplot as plt
x = [1,2,3]
y = [4,5,6]
# initialization:
fig, axes = plt.subplots(figsize=(8.0, 5.0))
# title:
myTitle = "Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all."
# lines:
axes.plot(x, y)
# set title
axes.set_title(myTitle, loc='center', wrap=True)
plt.show()
plt.figure(figsize=(8, 5))
# title:
myTitle = "Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all."
# lines:
plt.plot(x, y)
# set title
plt.title(myTitle, loc='center', wrap=True)
plt.show()
# lines:
fig.add_subplot(111).plot(x, y)
# title:
myTitle = "Some really really long long long title I really really need - and just can't - just can't - make it any - simply any - shorter - at all."
fig.add_subplot(111).set_title(myTitle, loc='center', wrap=True)
MatplotlibDeprecationWarning: Adding an axes using the same arguments as a previous axes currently reuses the earlier instance. In a future version, a new instance will always be created and returned. Meanwhile, this warning can be suppressed, and the future behavior ensured, by passing a unique label to each axes instance.
答案 4 :(得分:0)
\n
在文本标题axs[0, 0].set_title('pure imshow of 2D-array (RGB)')
axs[0, 1].set_title('Mean filter') # imshow by default applies a standard colormap, viridis cmap, which is greenish.
axs[0, 2].set_title('pure imshow of 2D-array (R-channel)') #
axs[1, 0].set_title('imshow of 2D-array with R values cmap="Grey_r"')
axs[1, 1].set_title('imshow of 2D-array with R values cmap="Reds_r"')
axs[1, 2].set_title('imshow of 3D-array with coordinates 1 and 2 \n(i.e.: channels G and B) set to 0')
axs[1, 0].set_title('imshow of 2D-array \n with R values cmap="Grey_r"')
axs[1, 1].set_title('imshow of 2D-array \n with R values cmap="Reds_r"')
axs[1, 2].set_title('imshow of 3D-array with coordinates 1 and 2 \n channels G and B) set to 0')