## 怎么样用spy/numpy绑定python中的数据？内容来源于 Stack Overflow，并遵循CC BY-SA 3.0许可协议进行翻译与使用

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```from scipy import *
from numpy import *

def get_bin_mean(a, b_start, b_end):
ind_upper = nonzero(a >= b_start)[0]
a_upper = a[ind_upper]
a_range = a_upper[nonzero(a_upper < b_end)[0]]
mean_val = mean(a_range)
return mean_val

data = rand(100)
bins = linspace(0, 1, 10)
binned_data = []

n = 0
for n in range(0, len(bins)-1):
b_start = bins[n]
b_end = bins[n+1]
binned_data.append(get_bin_mean(data, b_start, b_end))

print binned_data```

### 2 个回答

```import numpy
data = numpy.random.random(100)
bins = numpy.linspace(0, 1, 10)
digitized = numpy.digitize(data, bins)
bin_means = [data[digitized == i].mean() for i in range(1, len(bins))]```

```bin_means = (numpy.histogram(data, bins, weights=data)[0] /
numpy.histogram(data, bins)[0])```

import numpy as np from scipy.stats import binned_statistic data = np.random.rand(100) bin_means = binned_statistic(data, data, bins=10, range=(0, 1))[0]