/Python/Try using .loc[row_indexer,col_indexer] = value instead

Try using .loc[row_indexer,col_indexer] = value instead

import pandas as pd
pd.options.mode.chained_assignment = None  # default='warn'
# This will stop showing this warning 
# Alternatively you can use .loc as suggested by the message

Source: stackoverflow.com

SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead

import pandas as pd
pd.options.mode.chained_assignment = None  # default='warn'

Source: stackoverflow.com

Try using .loc[row_indexer,col_indexer] = value instead

new_df = df.loc[df.col1>2].copy()
new_df.loc[2, 'new_column'] = 100

-1

Source: stackoverflow.com

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