Iteration over Dataframe and Series.#
iteritems(): Helps to iterate over each element of the set, column-wise.
iterrows(): Each element of the set, row-wise.
itertuple(): Each row and form a tuple out of them.
[2]:
# import pandas and numpy library
import pandas as pd
import numpy as np
# List of Tuples
matrix = [(1, 2, 3),
(4, 5, 6),
(7, 8, 9)
]
# Create a DataFrame object
df = pd.DataFrame(matrix, columns = list('xyz'),
index = list('abc'))
display(df)
#### Applying
| x | y | z | |
|---|---|---|---|
| a | 1 | 2 | 3 |
| b | 4 | 5 | 6 |
| c | 7 | 8 | 9 |
[7]:
for index,row in df.iterrows():
print(row['x'])
1
4
7
[10]:
for index,col in df.iteritems():
print(index,'\n',col)
x
a 1
b 4
c 7
Name: x, dtype: int64
y
a 2
b 5
c 8
Name: y, dtype: int64
z
a 3
b 6
c 9
Name: z, dtype: int64