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Aprenda Indexes and Columns | Basics
Introduction to pandas [track]

bookIndexes and Columns

You can change DataFrame' indexes likewise Series' indexes (by assigning necessary list to the .index attribute of DataFrame).

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# Importing library import pandas as pd # Creating DataFrame df = pd.DataFrame([[1, 2], [3, 4], [5, 6]]) # Set indexes df.index = ['first', 'second', 'third'] print(df)
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You can set indexes when defining the DataFrame by specifying the index parameter. For instance,

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# Importing library import pandas as pd # Creating DataFrame with indexes df = pd.DataFrame([[1, 2], [3, 4], [5, 6]], index = ['first', 'second', 'third']) print(df)
copy

Also there are two ways to set the columns names: by assigning list of names to the columns attribute, or specifying the columns parameter.

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# Importing library import pandas as pd # Creating DataFrame with indexes df = pd.DataFrame([[1, 2], [3, 4], [5, 6]], columns = ['col1', 'col2'], index = ['first', 'second', 'third']) print(df) # Changing columns' names df.columns = ['Column1', 'Column2'] print(df)
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If you need to change columns' names or indexes of existing dataframe, use the approach with reassigning (.index, .columns attributes).

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Seção 1. Capítulo 6

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bookIndexes and Columns

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You can change DataFrame' indexes likewise Series' indexes (by assigning necessary list to the .index attribute of DataFrame).

12345678
# Importing library import pandas as pd # Creating DataFrame df = pd.DataFrame([[1, 2], [3, 4], [5, 6]]) # Set indexes df.index = ['first', 'second', 'third'] print(df)
copy

You can set indexes when defining the DataFrame by specifying the index parameter. For instance,

123456
# Importing library import pandas as pd # Creating DataFrame with indexes df = pd.DataFrame([[1, 2], [3, 4], [5, 6]], index = ['first', 'second', 'third']) print(df)
copy

Also there are two ways to set the columns names: by assigning list of names to the columns attribute, or specifying the columns parameter.

12345678910
# Importing library import pandas as pd # Creating DataFrame with indexes df = pd.DataFrame([[1, 2], [3, 4], [5, 6]], columns = ['col1', 'col2'], index = ['first', 'second', 'third']) print(df) # Changing columns' names df.columns = ['Column1', 'Column2'] print(df)
copy

If you need to change columns' names or indexes of existing dataframe, use the approach with reassigning (.index, .columns attributes).

Tudo estava claro?

Como podemos melhorá-lo?

Obrigado pelo seu feedback!

Seção 1. Capítulo 6
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