双胞胎杀死滴答作响标签颜色 [英] twinx kills tick label color

问题描述

我用两个y轴绘制一个双点图。第二个轴 ax2 由 twinx 创建。问题是，通过 yticks 的第二个y轴的着色不再工作了。相反，我必须 set_color 单独的标签。这里是相关代码：

I am plotting a double plot with two y-axes. The second axis ax2 is created by twinx. The problem is that the coloring of the second y-axis via yticks is not working anymore. Instead I have to set_color the labels individually. Here is the relevant code:

fig = plt.figure()
fill_between(data[:,0], 0, (data[:,2]), color='yellow')
yticks(arange(0.2,1.2,0.2), ['.2', '.4', '.6', '.8', ' 1'], color='yellow')
ax2 = twinx()
ax2.plot(data[:,0], (data[:,1]), 'green')
yticks(arange(0.1,0.6,0.1), ['.1 ', '.2', '.3', '.4', '.5'], color='green')
# color='green' has no effect here ?!
# instead this is needed:
for t in ax2.yaxis.get_ticklabels(): t.set_color('green')
show()

导致：

此问题只有在我设置刻度字符串时才会发生。

This issue only occurs if I set the tick strings.

yticks(arange(0.1,0.6,0.1), ['.1 ', '.2', '.3', '.4', '.5'], color='green')

省略，像这里

yticks(arange(0.1,0.6,0.1), color='green')

并且着色工作正常。

这是一个错误到这个），一个功能（？！）或
我缺少这里的东西？我在ubuntu上使用python 2.6.5和matplotlib 0.99.1.1。

Is that a bug (could not find any reports to this), a feature (?!) or am I missing something here? I am using python 2.6.5 with matplotlib 0.99.1.1 on ubuntu.

推荐答案

它的价值，你的代码工作正常在我的系统，即使没有为循环设置标签颜色。作为参考，这里有一个独立的例子，试图基本上完全遵循你发布的：

For whatever it's worth, you code works fine on my system even without the for loop to set the label colors. Just as a reference, here's a stand-alone example trying to follow essentially exactly what you posted:

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
num = 200
x = np.linspace(501, 1200, num)
yellow_data, green_data = np.random.random((2,num))
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the yellow data
plt.fill_between(x, yellow_data, 0, color='yellow')
plt.yticks([0.0, 0.5, 1.0], color='yellow')

# Plot the green data
ax2 = plt.twinx()
ax2.plot(x, green_data, 'g-')
plt.yticks([-4, -3, -2, -1, 0, 1], color='green')

plt.show()

我的猜测是你的问题主要来自于混合对不同对象的引用。我猜你的代码有点复杂，当你调用 plt.yticks ， ax2 是而不是当前轴。您可以在调用之前显式调用 sca（ax2）（将当前轴设置为 ax2 ）， c $ c> yticks ，看看是否改变了事情。

My guess is that your problem is mostly coming from mixing up references to different objects. I'm guessing that your code is a bit more complex, and that when you call plt.yticks, ax2 is not the current axis. You can test that idea by explicitly calling sca(ax2) (set the current axis to ax2) before calling yticks and see if that changes things.

一般来说，最好坚持使用完全的matlab-ish状态机接口或OO接口，不要混用太多。 （个人而言，我更喜欢只是坚持使用OO接口。使用 pyplot 设置图形对象， show

Generally speaking, it's best to stick to either entirely the matlab-ish state machine interface or the OO interface, and don't mix them too much. (Personally, I prefer just sticking to the OO interface. Use pyplot to set up figure objects and for show, and use the axes methods otherwise. To each his own, though.)

无论如何，使用matplotlib> = 1.0， tick_params 函数使这一点更方便。 （我也使用 plt.subplots 这里，也只有在= 1.0）。

At any rate, with matplotlib >= 1.0, the tick_params function makes this a bit more convenient. (I'm also using plt.subplots here, which is only in >= 1.0, as well.)

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
yellow_data, green_data = np.random.random((2,2000))
yellow_data += np.linspace(0, 3, yellow_data.size)
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the data
fig, ax1 = plt.subplots()
ax2 = ax1.twinx()

ax1.plot(yellow_data, 'y-')
ax2.plot(green_data, 'g-')

# Change the axis colors...
ax1.tick_params(axis='y', labelcolor='yellow')
ax2.tick_params(axis='y', labelcolor='green')

plt.show()

>

较旧版本的matplotlib的等效代码看起来更像这样：

The equivalent code for older versions of matplotlib would look more like this:

import matplotlib.pyplot as plt
import numpy as np

# Generate some data
yellow_data, green_data = np.random.random((2,2000))
yellow_data += np.linspace(0, 3, yellow_data.size)
green_data -= np.linspace(0, 3, yellow_data.size)

# Plot the data
fig = plt.figure()
ax1 = fig.add_subplot(1,1,1)
ax2 = ax1.twinx()

ax1.plot(yellow_data, 'y-')
ax2.plot(green_data, 'g-')

# Change the axis colors...
for ax, color in zip([ax1, ax2], ['yellow', 'green']):
    for label in ax.yaxis.get_ticklabels():
        label.set_color(color)

plt.show()

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