从matplotlib AxesSubplot获取值 [英] Get values from matplotlib AxesSubplot

问题描述

我想从matplotlib.axes.AxesSubplot中获取值.html"rel =" nofollow> pandas.Series.hist 方法. 有什么方法可以这样做吗?我在列表中找不到该属性.

I'd like to get values from matplotlib.axes.AxesSubplot which is returned from pandas.Series.hist method. Is there any method to do so? I couldn't find the attribute in the list.

import pandas as pd
import matplotlib.pyplot as plt

serie = pd.Series([0.0,950.0,-70.0,812.0,0.0,-90.0,0.0,0.0,-90.0,0.0,-64.0,208.0,0.0,-90.0,0.0,-80.0,0.0,0.0,-80.0,-48.0,840.0,-100.0,190.0,130.0,-100.0,-100.0,0.0,-50.0,0.0,-100.0,-100.0,0.0,-90.0,0.0,-90.0,-90.0,63.0,-90.0,0.0,0.0,-90.0,-80.0,0.0,])
hist = serie.hist()
# I want to get values of hist variable.

我知道我可以使用np.histogram获取直方图值，但是我想使用pandas hist方法.

I know I can get histogram values with np.histogram, but I want to use pandas hist method.

推荐答案

正如xnx在注释中指出的那样，这并不像使用plt.hist那样容易访问.但是，如果您确实要使用熊猫hist函数，则可以从调用serie.hist时添加到hist AxesSubplot的patches中获取此信息.

As xnx pointed out in comments, this isn't as easily accessible as if you used plt.hist. However, if you really want to use the pandas hist function, you can get this information, from the patches that are added to the hist AxesSubplot when you call serie.hist.

这是一个遍历补丁的功能，并返回垃圾箱边缘和直方图计数:

Here's a function to loop through the patches, and return the bin edges and histogram counts:

import pandas as pd
import matplotlib.pyplot as plt

serie = pd.Series([0.0,950.0,-70.0,812.0,0.0,-90.0,0.0,0.0,-90.0,0.0,-64.0,208.0,0.0,-90.0,0.0,-80.0,0.0,0.0,-80.0,-48.0,840.0,-100.0,190.0,130.0,-100.0,-100.0,0.0,-50.0,0.0,-100.0,-100.0,0.0,-90.0,0.0,-90.0,-90.0,63.0,-90.0,0.0,0.0,-90.0,-80.0,0.0,])
hist = serie.hist()

def get_hist(ax):
    n,bins = [],[]
    for rect in ax.patches:
        ((x0, y0), (x1, y1)) = rect.get_bbox().get_points()
        n.append(y1-y0)
        bins.append(x0) # left edge of each bin
    bins.append(x1) # also get right edge of last bin

    return n,bins

n, bins = get_hist(hist)

print n
print bins

plt.show()

这是n和bins的输出:

[36.0, 1.0, 3.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2.0, 1.0]                          # n
[-100.0, 5.0, 110.0, 215.0, 320.0, 425.0, 530.0, 635.0, 740.0, 845.0, 950.0] # bins

这是要检查的直方图:

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