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使用Twiny时，Python Matplotlib图形标题与轴标签重叠

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问题：使用Twiny时，Python Matplotlib图形标题与轴标签重叠
回答 0
回答 1
回答 2
回答 3
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回答 4
回答 5

问题：使用Twiny时，Python Matplotlib图形标题与轴标签重叠

我正在尝试使用twiny在同一张图上绘制两个单独的数量，如下所示：

fig = figure()
ax = fig.add_subplot(111)
ax.plot(T, r, 'b-', T, R, 'r-', T, r_geo, 'g-')
ax.set_yscale('log')
ax.annotate('Approx. sea level', xy=(Planet.T_day*1.3,(Planet.R)/1000), xytext=(Planet.T_day*1.3, Planet.R/1000))
ax.annotate('Geostat. orbit', xy=(Planet.T_day*1.3, r_geo[0]), xytext=(Planet.T_day*1.3, r_geo[0]))
ax.set_xlabel('Rotational period (hrs)')
ax.set_ylabel('Orbital radius (km), logarithmic')
ax.set_title('Orbital charts for ' + Planet.N, horizontalalignment='center', verticalalignment='top')


ax2 = ax.twiny()
ax2.plot(v,r,'k-')
ax2.set_xlabel('Linear speed (ms-1)')

show()

并且数据可以很好地显示，但是我遇到的问题是，图形标题与辅助x轴上的轴标签重叠，因此几乎看不清（我想在此处发布图片示例，但是我没有足够高的代表）。

我想知道是否存在一种直接将标题直接上移几十个像素的简单方法，以使图表看起来更漂亮。

点击查看英文原文

I am trying to plot two separate quantities on the same graph using twiny as follows:

fig = figure()
ax = fig.add_subplot(111)
ax.plot(T, r, 'b-', T, R, 'r-', T, r_geo, 'g-')
ax.set_yscale('log')
ax.annotate('Approx. sea level', xy=(Planet.T_day*1.3,(Planet.R)/1000), xytext=(Planet.T_day*1.3, Planet.R/1000))
ax.annotate('Geostat. orbit', xy=(Planet.T_day*1.3, r_geo[0]), xytext=(Planet.T_day*1.3, r_geo[0]))
ax.set_xlabel('Rotational period (hrs)')
ax.set_ylabel('Orbital radius (km), logarithmic')
ax.set_title('Orbital charts for ' + Planet.N, horizontalalignment='center', verticalalignment='top')


ax2 = ax.twiny()
ax2.plot(v,r,'k-')
ax2.set_xlabel('Linear speed (ms-1)')

show()

and the data is presented fine, but I am having the problem that the figure title is overlapping with the axes labels on the secondary x axis so that it’s barely legible (I wanted to post a picture example here, but I don’t have a high enough rep yet).

I’d like to know if there’s a straightforward way to just shift the title directly up a few tens of pixels, so that the chart looks prettier.

回答 0

我不确定在更高版本的matplotlib中它是否是一项新功能，但至少对于1.3.1，这很简单：

plt.title(figure_title, y=1.08)

这也适用于plt.suptitle()，但不适用于plt.xlabel()，等等。

点击查看英文原文

I’m not sure whether it is a new feature in later versions of matplotlib, but at least for 1.3.1, this is simply:

plt.title(figure_title, y=1.08)

This also works for plt.suptitle(), but not (yet) for plt.xlabel(), etc.

回答 1

忘记使用plt.title并直接用放置文本plt.text。过度夸大的示例如下：

import pylab as plt

fig = plt.figure(figsize=(5,10))

figure_title = "Normal title"
ax1  = plt.subplot(1,2,1)

plt.title(figure_title, fontsize = 20)
plt.plot([1,2,3],[1,4,9])

figure_title = "Raised title"
ax2  = plt.subplot(1,2,2)

plt.text(0.5, 1.08, figure_title,
         horizontalalignment='center',
         fontsize=20,
         transform = ax2.transAxes)
plt.plot([1,2,3],[1,4,9])

plt.show()

点击查看英文原文

Forget using plt.title and place the text directly with plt.text. An over-exaggerated example is given below:

import pylab as plt

fig = plt.figure(figsize=(5,10))

figure_title = "Normal title"
ax1  = plt.subplot(1,2,1)

plt.title(figure_title, fontsize = 20)
plt.plot([1,2,3],[1,4,9])

figure_title = "Raised title"
ax2  = plt.subplot(1,2,2)

plt.text(0.5, 1.08, figure_title,
         horizontalalignment='center',
         fontsize=20,
         transform = ax2.transAxes)
plt.plot([1,2,3],[1,4,9])

plt.show()

回答 2

ax.set_title('My Title\n', fontsize="15", color="red")
plt.imshow(myfile, origin="upper")

如果'\n'在标题字符串后面紧跟，则绘图将绘制在标题下方。那也可能是一个快速的解决方案。

点击查看英文原文 
ax.set_title('My Title\n', fontsize="15", color="red")
plt.imshow(myfile, origin="upper")

If you put '\n' right after your title string, the plot is drawn just below the title. That might be a fast solution too.

回答 3

我在x标签重叠子图标题时遇到问题；这为我工作：

import matplotlib.pyplot as plt
fig, ax = plt.subplots(2, 1)
ax[0].scatter(...)
ax[1].scatter(...)
plt.tight_layout()
.
.
.
plt.show()

之前

后

参考：

点击查看英文原文

I was having an issue with the x-label overlapping a subplot title; this worked for me:

import matplotlib.pyplot as plt
fig, ax = plt.subplots(2, 1)
ax[0].scatter(...)
ax[1].scatter(...)
plt.tight_layout()
.
.
.
plt.show()

before

after

reference:

回答 4

只是使用plt.tight_layout()之前plt.show()。它运作良好。

点击查看英文原文

Just use plt.tight_layout() before plt.show(). It works well.

回答 5

您可以在这种情况下使用pad：

ax.set_title("whatever", pad=20)
点击查看英文原文

You can use pad for this case:

ax.set_title("whatever", pad=20)