¿Cómo obtener la primera columna de un DataFrame de pandas como una serie?
Lo intenté:
x=pandas.DataFrame(...)
s = x.take([0], axis=1)
Y s obtiene un DataFrame, no una Serie.
89
5 answers
>>> import pandas as pd
>>> df = pd.DataFrame({'x' : [1, 2, 3, 4], 'y' : [4, 5, 6, 7]})
>>> df
x y
0 1 4
1 2 5
2 3 6
3 4 7
>>> s = df.ix[:,0]
>>> type(s)
<class 'pandas.core.series.Series'>
>>>
97
Author: herrfz,
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2013-03-12 13:33:39
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2013-03-12 13:33:39
Puede obtener la primera columna como una Serie mediante el siguiente código:
x[x.columns[0]]
72
Author: HYRY,
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2013-03-12 12:42:57
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2013-03-12 12:42:57
in 0.11
In [7]: df.iloc[:,0]
Out[7]:
0 1
1 2
2 3
3 4
Name: x, dtype: int64
53
Author: Jeff,
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2013-03-12 14:49:17
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2013-03-12 14:49:17
¿No es ésta la forma más sencilla?
Por nombre de columna:
In [20]: df = pd.DataFrame({'x' : [1, 2, 3, 4], 'y' : [4, 5, 6, 7]})
In [21]: df
Out[21]:
x y
0 1 4
1 2 5
2 3 6
3 4 7
In [23]: df.x
Out[23]:
0 1
1 2
2 3
3 4
Name: x, dtype: int64
In [24]: type(df.x)
Out[24]:
pandas.core.series.Series
9
Author: SamJ,
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2017-06-17 17:40:54
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2017-06-17 17:40:54
Esto funciona muy bien cuando desea cargar una serie desde un archivo csv
x = pd.read_csv('x.csv', index_col=False, names=['x'],header=None).iloc[:,0]
print(type(x))
print(x.head(10))
<class 'pandas.core.series.Series'>
0 110.96
1 119.40
2 135.89
3 152.32
4 192.91
5 177.20
6 181.16
7 177.30
8 200.13
9 235.41
Name: x, dtype: float64
0
Author: Christopher Pfeifer,
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2018-04-07 23:06:28
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2018-04-07 23:06:28