pandas loop through rows
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120pandas loop through rows
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120loop on dataframe lines python
for index, row in df.iterrows():
print(f'Index: {index}, row: {row.values}')
for index, row in df.iterrows():
print(f'Index: {index}, column_a: {row.get("column_a", 0)}')
for row in df.itertuples():
print(row)
# But !
# The .apply() function provides a more efficient
# method for updating a DataFrame.
# see : https://towardsdatascience.com/pandas-apply-for-power-users-f44d0e0025ceCopyright © 2021 Codeinu
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