如何根据符号将轴刻度线格式化为某种颜色? [英] How do I format axis ticks to be a certain color based on sign?

问题描述

我希望当刻度值为正时，我的y轴刻度标签为绿色，而当刻度值为负时，我希望我的红色轴刻度标签为红色.

考虑以下系列和情节

np.random.seed([3,1415])
pd.Series(np.random.randn(100)).add(.1).cumsum().plot()

我需要[2, 4, 6, 8]为绿色，而[-2, -4, -6, -8]为红色.

解决方案

您可以通过使用轴的ax.get_yticklabels()和ax.get_yticks()方法来实现此目标...

import numpy as np
import pylab as plt
import pandas as pd
# figure data
np.random.seed([3,1415])
# create the plot
ax = plt.figure().gca()
ax.plot(pd.Series(np.random.randn(100)).add(.1).cumsum())
# change the y-axis label colors based on positive/negative
a = [ax.get_yticklabels()[i].set_color('red')  if (ax.get_yticks()[i] < 0 ) else ax.get_yticklabels()[i].set_color('green') if ( ax.get_yticks()[i] > 0 ) else ax.get_yticklabels()[i].set_color('black') for i in range(len(ax.get_yticklabels()))]

上面使用列表推导[a表示A否则b表示b否则c表示列表].

I want my y-axis tick labels to be green when tick values are positive and red when tick values are negative.

Consider the following series and plot

np.random.seed([3,1415])
pd.Series(np.random.randn(100)).add(.1).cumsum().plot()

I need the [2, 4, 6, 8] to be green and [-2, -4, -6, -8] to be red.

解决方案

You can accomplish this by using using the ax.get_yticklabels() and ax.get_yticks() methods of an axis...

import numpy as np
import pylab as plt
import pandas as pd
# figure data
np.random.seed([3,1415])
# create the plot
ax = plt.figure().gca()
ax.plot(pd.Series(np.random.randn(100)).add(.1).cumsum())
# change the y-axis label colors based on positive/negative
a = [ax.get_yticklabels()[i].set_color('red')  if (ax.get_yticks()[i] < 0 ) else ax.get_yticklabels()[i].set_color('green') if ( ax.get_yticks()[i] > 0 ) else ax.get_yticklabels()[i].set_color('black') for i in range(len(ax.get_yticklabels()))]

The above uses the list comprehension [a if A else b if B else c for list].

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