how to loop through dataframe python code example

Example 1: pandas loop through rows

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

Output: 
   10 100
   11 110
   12 120

Example 2: creating data frame in python with for loop

df = pd.DataFrame(columns=["A", "B"])

for i in range(2):
    this_column = df.columns[i]
    df[this_column] = [i, i+1]

print(df)

#OUTPUT
#  A B
#0 0 1
#1 1 2

Example 3: python - iterate with the data frame

# Option 1
for row in df.iterrows():
    print row.loc[0,'A']
    print row.A
    print row.index()

# Option 2
for i in range(len(df)) : 
  print(df.iloc[i, 0], df.iloc[i, 2])

Example 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)