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iloc[:,0:-1]

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Clumsy Caiman answered on June 29, 2020 Popularity 9/10 Helpfulness 1/10

answer iloc[:,0:-1]

related iloc pandas

related what is .iloc[:, 1:2].values

iloc[:,0:-1]

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>>> df.iloc[[0, 2], [1, 3]]
      b     d
0     2     4
2  2000  4000

Popularity 9/10 Helpfulness 1/10 Language python

Source: pandas.pydata.org

Tags: python

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Contributed on Feb 17 2021

Clumsy Caiman

0 Answers Avg Quality 2/10

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iloc pandas

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mydict = [{'a': 1, 'b': 2, 'c': 3, 'd': 4},
...           {'a': 100, 'b': 200, 'c': 300, 'd': 400},
...           {'a': 1000, 'b': 2000, 'c': 3000, 'd': 4000 }]
>>> df = pd.DataFrame(mydict)
>>> df
      a     b     c     d
0     1     2     3     4
1   100   200   300   400
2  1000  2000  3000  4000

>>>type(df.iloc[0])
<class 'pandas.core.series.Series'>
>>>df.iloc[0]
a    1
b    2
c    3
d    4
Name: 0, dtype: int64

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Apr 27 2022

Arbre

0 Answers Avg Quality 2/10

what is .iloc[:, 1:2].values

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>>> type(df.iloc[0])
<class 'pandas.core.series.Series'>
>>> df.iloc[0]
a    1
b    2
c    3
d    4
Name: 0, dtype: int64

Popularity 9/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: python py

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Contributed on Jun 29 2020

Clumsy Cicada

0 Answers Avg Quality 2/10

iloc[:,0:-1]

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iloc pandas

what is .iloc[:, 1:2].values

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