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 120pandas loop over chunk of rows
# credit to Stack Overflow user in the source link
import numpy as np
import pandas as pd
data = pd.DataFrame(np.random.rand(10, 3))
for chunk in np.array_split(data, 5):
# this assert may not be needed depending on your application
# left here anyway because it is in the original answer
assert len(chunk) == len(data) / 5, "This assert may fail for the last chunk if data lenght isn't divisible by 5"
# do your stuff with each chunkCopyright © 2021 Codeinu
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