python - 将 numpy ndarray 数据放入 pandas

Question

我想把下面的数据放到pandas里面做进一步的分析。

import numpy as np
import pandas as pd
from pandas import DataFrame

data = np.array([[[1, 1, 1, np.nan, 1], [np.nan, 1, 1, 1, 1]],
                 [[2, np.nan, 2, 2, 2], [2, np.nan, 2, 2, 2]],
                 [[3, 3, 3, np.nan, 3], [3, 3, 3, 3, np.nan]]])

pnda = pd.Series(data)

print pnda

但是出现如下错误:

Exception: Data must be 1-dimensional

这样做的好方法是什么？我进一步分析是用三次或多项式方法插值填充np.nan值，并将结果输出为numpy数组。

Answer 1

尝试使用面板:

import numpy as np
import pandas as pd

data = np.array([[[1, 1, 1, np.nan, 1], [np.nan, 1, 1, 1, 1]],
                 [[2, np.nan, 2, 2, 2], [2, np.nan, 2, 2, 2]],
                 [[3, 3, 3, np.nan, 3], [3, 3, 3, 3, np.nan]]])

x = pd.Panel(data)
x

<class 'pandas.core.panel.Panel'>
Dimensions: 3 (items) x 2 (major_axis) x 5 (minor_axis)
Items axis: 0 to 2
Major_axis axis: 0 to 1
Minor_axis axis: 0 to 4

还有……

print(x.loc[0])
    0  1  2   3  4
0   1  1  1 NaN  1
1 NaN  1  1   1  1