pandas系列獲取'數據必須是1維'錯誤

Question

我是熊貓和numpy的新手。 我正在運行一個簡單的程序

labels = ['a','b','c','d','e'] 
s = Series(randn(5),index=labels)
print(s)

得到以下錯誤

    s = Series(randn(5),index=labels)   File "C:\Python27\lib\site-packages\pandas\core\series.py", line 243, in
__init__
    raise_cast_failure=True)   File "C:\Python27\lib\site-packages\pandas\core\series.py", line 2950, in
_sanitize_array
    raise Exception('Data must be 1-dimensional') Exception: Data must be 1-dimensional

知道可能是什么問題嗎？ 我正在嘗試使用eclipse，而不是使用ipython筆記本。

Answer 1

看來你需要numpy.random.rand隨機floats或numpy.random.randint隨機integers ：

import pandas as pd
import numpy as np

np.random.seed(100)
labels = ['a','b','c','d','e'] 
s = pd.Series(np.random.randn(5),index=labels)
print(s)
a   -1.749765
b    0.342680
c    1.153036
d   -0.252436
e    0.981321
dtype: float64

---

np.random.seed(100)
labels = ['a','b','c','d','e'] 
s = pd.Series(np.random.randint(10, size=5),index=labels)
print(s)
a    8
b    8
c    3
d    7
e    7
dtype: int32

Answer 2

我懷疑你的進口錯了

如果將其添加到代碼中

from pandas import Series
from numpy.random import randn

labels = ['a','b','c','d','e'] 
s = Series(randn(5),index=labels)
print(s)

a    0.895322
b    0.949709
c   -0.502680
d   -0.511937
e   -1.550810
dtype: float64

它運行正常。

也就是說，正如@jezrael所指出的，導入模塊而不是污染命名空間更好。

你的代碼應該是這樣的。

解

import pandas as pd
import numpy as np

labels = ['a','b','c','d','e'] 
s = pd.Series(np.random.randn(5),index=labels)
print(s)