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df iloc vs loc

Niransha answered on January 23, 2024 Popularity 7/10 Helpfulness 1/10

answer df iloc vs loc

df iloc vs loc

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select a single row, single column, or single value via scalar (single) values.
#loc goes with colum/row names
#iloc goes with col/row index number

pd.DataFrame.loc['row_label', 'column_label']
pd.DataFrame.loc[:, 'column_label'] # To select single column

pd.DataFrame.iloc[row_position, col_position]
pd.DataFrame.iloc[:, col_position] # To select single column

# To select many ################# 

select a multiple items by passing a list of labels or index positions. Remember, use index values. This comes in handy when you are select rows or rows and columns from your data frame.

pd.DataFrame.loc[['row_label1', 'row_label2'],
                 ['column_label1', 'column_label2']]

pd.DataFrame.iloc[[row_pos1, row_pos2],
                  [col_pos1, col_pos2]]

Popularity 7/10 Helpfulness 1/10 Language python

Source: Grepper

Tags: python select

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Contributed on Jan 23 2024

Niransha

0 Answers Avg Quality 2/10

df iloc vs loc

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