Iterrows pd

for index, row in df.iterrows():
    print(row['c1'], row['c2'])

Iterrows pandas

>>> df = pd.DataFrame([[1, 1.5]], columns=['int', 'float'])
>>> row = next(df.iterrows())[1]
>>> row
int      1.0
float    1.5
Name: 0, dtype: float64
>>> print(row['int'].dtype)
float64
>>> print(df['int'].dtype)
int64

Source: pandas.pydata.org

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