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我繪製在python直方圖使用matplotlib:獲取信息通過在matplotlib直方圖功能箱
plt.hist(nparray, bins=10, label='hist')
是否可以打印對所有箱櫃信息的數據幀,相同的元件的數量每個垃圾桶?
我繪製在python直方圖使用matplotlib:獲取信息通過在matplotlib直方圖功能箱
plt.hist(nparray, bins=10, label='hist')
是否可以打印對所有箱櫃信息的數據幀,相同的元件的數量每個垃圾桶?
的plt.hist
的返回值:
返回:元組:(N,垃圾桶,補丁)或者(N0,N1,...],垃圾桶, [patches0,patches1,.. 。])
因此,所有你需要做的就是適當地捕獲返回值。例如:
import numpy as np
import matplotlib.pyplot as plt
# generate some uniformly distributed data
x = np.random.rand(1000)
# create the histogram
(n, bins, patches) = plt.hist(x, bins=10, label='hst')
plt.show()
# inspect the counts in each bin
In [4]: print n
[102 87 102 83 106 100 104 110 102 104]
# and we see that the bins are approximately uniformly filled.
# create a second histogram with more bins (but same input data)
(n2, bins2, patches) = plt.hist(x, bins=20, label='hst')
In [34]: print n2
[54 48 39 48 51 51 37 46 49 57 50 50 52 52 59 51 58 44 58 46]
# bins are uniformly filled but obviously with fewer in each bin.
返回的bins
定義了每個使用的倉的邊。