df iterrows pandas
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120df iterrows pandas
for index, row in df.iterrows():
print(row['c1'], row['c2'])
Output:
10 100
11 110
12 120df.iteraterows
import pandas as pd
df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
for index, row in df.iterrows():
print(row['c1'], row['c2'])iterrows pd
for index, row in df.iterrows():
print(row['c1'], row['c2'])df.iterrows()
import pandas as pd
import numpy as np
df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
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)
int64Copyright © 2021 Codeinu
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