自动在matplotlib中定位文本框

时间:2011-08-12 20:06:56

标签: python textbox matplotlib

有没有办法告诉pyplot.text()像pyplot.legend()一样的位置?

类似于传说的论点会很棒:

plt.legend(loc="upper left")

我正在尝试使用字母(例如“A”,“B”)标记具有不同轴的子图。我认为必须有一种比手动估算位置更好的方法。

由于

3 个答案:

答案 0 :(得分:44)

只需使用annotate并指定轴坐标。例如,“左上角”将是:

plt.annotate('Something', xy=(0.05, 0.95), xycoords='axes fraction')

你也可以变得更漂亮,并用点数指定一个恒定的偏移量:

plt.annotate('Something', xy=(0, 1), xytext=(12, -12), va='top'
             xycoords='axes fraction', textcoords='offset points')

有关详细说明,请参阅示例here以及更详细的示例here

答案 1 :(得分:28)

我不确定这是否在我最初发布问题时可用,但现在可以实际使用loc参数。以下是一个例子:

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.offsetbox import AnchoredText

# make some data
x = np.arange(10)
y = x

# set up figure and axes
f, ax = plt.subplots(1,1)

# loc works the same as it does with figures (though best doesn't work)
# pad=5 will increase the size of padding between the border and text
# borderpad=5 will increase the distance between the border and the axes
# frameon=False will remove the box around the text

anchored_text = AnchoredText("Test", loc=2)
ax.plot(x,y)
ax.add_artist(anchored_text)

plt.show()

enter image description here

答案 2 :(得分:0)

这个问题已经很老了,但是根据Add loc=best kwarg to pyplot.text()的问题,到目前为止(2019年)还没有通用的解决方案,因此我正在使用legend()和以下变通办法来为简单的文本框:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.patches as mpl_patches

x = np.linspace(-1,1)
fig, ax = plt.subplots()
ax.plot(x, x*x)

# create a list with two empty handles (or more if needed)
handles = [mpl_patches.Rectangle((0, 0), 1, 1, fc="white", ec="white", 
                                 lw=0, alpha=0)] * 2

# create the corresponding number of labels (= the text you want to display)
labels = []
labels.append("pi = {0:.4g}".format(np.pi))
labels.append("root(2) = {0:.4g}".format(np.sqrt(2)))

# create the legend, supressing the blank space of the empty line symbol and the
# padding between symbol and label by setting handlelenght and handletextpad
ax.legend(handles, labels, loc='best', fontsize='small', 
          fancybox=True, framealpha=0.7, 
          handlelength=0, handletextpad=0)
plt.show()

通常的想法是创建带有空白行符号的图例,然后删除生成的空白区域。 How to adjust the size of matplotlib legend box?帮助我完成了图例格式。

Example plot with automatically positioned text box