Answers for "iterate through pandas dataframe columns"

23

iterate over rows dataframe

df = pd.DataFrame([{'c1':10, 'c2':100}, {'c1':11,'c2':110}, {'c1':12,'c2':120}])
for index, row in df.iterrows():
    print(row['c1'], row['c2'])
Posted by: Guest on May-07-2020
4

pandas iterate columns

for name, values in df.iteritems():
    print('{name}: {value}'.format(name=name, value=values[0]))
Posted by: Guest on March-18-2020
0

how to iterate pandas dataframe

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'])
Posted by: Guest on January-17-2021
4

python loop through column in dataframe

# Iterate over two given columns only from the dataframe
for column in empDfObj[['Name', 'City']]:
   # Select column contents by column name using [] operator
   columnSeriesObj = empDfObj[column]
   print('Colunm Name : ', column)
   print('Column Contents : ', columnSeriesObj.values)
Posted by: Guest on March-04-2020

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