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df iloc

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Athul Mathew answered on April 27, 2022 Popularity 10/10 Helpfulness 2/10

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df iloc

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df.iloc[[0]]
   a  b  c  d
0  1  2  3  4
>>> type(df.iloc[[0]])
<class 'pandas.core.frame.DataFrame'>

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: python

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

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iloc in pandas

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import pandas as pd

# Create a sample DataFrame
data = {'Name': ['John', 'Smith', 'Alice', 'Bob'],
        'Age': [25, 30, 35, 40],
        'City': ['New York', 'Chicago', 'Los Angeles', 'Boston']}
df = pd.DataFrame(data)

# Access specific rows and columns using iloc
# Syntax: iloc[row_index, column_index]

# Access the value in the first row, second column
value = df.iloc[0, 1]
print(value)  # Output: 25

# Access a subset of rows and columns using iloc
subset = df.iloc[1:3, 0:2]
print(subset)
# Output:
#     Name  Age
# 1  Smith   30
# 2  Alice   35

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Contributed on Sep 11 2023

YOU.com

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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

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Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Apr 27 2022

Arbre

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df iloc

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

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: python py

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

pd df iloc

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df.iloc[:3]
      a     b     c     d
0     1     2     3     4
1   100   200   300   400
2  1000  2000  3000  4000

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: python py

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

pandas df iloc

Comment

df.iloc[[0, 1]]
     a    b    c    d
0    1    2    3    4
1  100  200  300  400

Popularity 10/10 Helpfulness 2/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

pandas df iloc

Comment

df.iloc[0, 1]
2

Popularity 10/10 Helpfulness 1/10 Language python

Source: pandas.pydata.org

Tags: pandas pa

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Contributed on Aug 19 2022

Athul Mathew

0 Answers Avg Quality 2/10

df iloc

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