python-pandasHow to iterate dataframe rows using iterrows()

import pandas as pd

df = pd.DataFrame({
  'phone': ['ip5', 'ip6', 'ip8', 'sms', 'xi'],
  'price': [204, 704, 404, 405, 305]
})

for index, series in df.iterrows():
  print(index, series['phone'], series['price'])ctrl + cgithub

`import pandas as pd` load Pandas module	`pd.DataFrame` creates Pandas DataFrame object
`.iterrows()` allows iterating over dataframe rows as a pair of `index` and `series`	`index` will contain row index
`series` will contain row columns values

Usage example

import pandas as pd

df = pd.DataFrame({
  'phone': ['ip5', 'ip6', 'ip8', 'sms', 'xi'],
  'price': [204, 704, 404, 405, 305]
})

for index, series in df.iterrows():
  print(index, series['phone'], series['price'])

output

0 ip5 204
1 ip6 704
2 ip8 404
3 sms 405
4 xi 305

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