python – 用箭头标记matplotlib直方图bin -清零世界

概述

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

pd.Series(np.random.normal(0,100,1000)).plot(kind='hist',bins=50)

这创建了这样的情节：

那么我如何用给定整数的箭头标记bin？

例如,见下文,其中箭头标记包含整数300的bin.

编辑：我应该理想地添加箭头的y坐标应该由它标记的条的高度自动设置 – 如果可能的话！

import pandas as pd
import matplotlib.pyplot as plt
#import seaborn as sns
import numpy as np

fig,ax = plt.subplots()
series = pd.Series(np.random.normal(0,1000))
series.plot(kind='hist',bins=50,ax=ax)
ax.annotate("",xy=(300,5),xycoords='data',xytext=(300,20),textcoords='data',arrowprops=dict(arrowstyle="->",connectionstyle="arc3"),)

在这个例子中,我添加了一个从坐标(300,20)到(300,5)的箭头.

为了自动将箭头缩放到bin中的值,您可以使用matplotlib hist绘制直方图并获取值,然后使用numpy在哪里找到哪个bin对应于所需位置.

import pandas as pd
import matplotlib.pyplot as plt
#import seaborn as sns
import numpy as np

nbins = 50
labeled_bin = 200

fig,ax = plt.subplots()

series = pd.Series(np.random.normal(0,1000))

## plot the histogram and return the bin position and values
ybins,xbins,_ = ax.hist(series,bins=nbins)

## find out in which bin belongs the position where you want the label
ind_bin = np.where(xbins >= labeled_bin)[0]
if len(ind_bin) > 0 and ind_bin[0] > 0:
    ## get position and value of the bin
    x_bin = xbins[ind_bin[0]-1]/2. + xbins[ind_bin[0]]/2.
    y_bin = ybins[ind_bin[0]-1]
    ## add the arrow
    ax.annotate("",xy=(x_bin,y_bin + 5),xytext=(x_bin,y_bin + 20),)
else:
    print "Labeled bin is outside range"

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