Looping Over Dataframe

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Tags: #python #pandas #python #loops #dataframes #forloop #loop #snippet #operations
Author: Oketunji Oludolapo​
Last update: 2023-06-06 (Created: 2021-10-08)
Description: This notebook provides an overview of how to use loops to iterate over a dataframe in Python.
Input
Import Library
import pandas as pd
import numpy as np
Model
Loopring over dataframes can be a a lifesaver when there are lots of columns and we want to view our data at a go. This is an advntage of for loop in a dataframe.
Create Sample Dataframe
dict1 = {
    "student_id": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10],
    "student_name": [
        "Peter",
        "Dolly",
        "Maggie",
        "David",
        "Isabelle",
        "Harry",
        "Akin",
        "Abbey",
        "Victoria",
        "Sam",
    ],
    "student_course": np.random.choice(["Biology", "Physics", "Chemistry"], size=10),
}
data = pd.DataFrame(dict1)
data
Output
Looping over the data to get the column name
for column in data:
    print(column)
Looping over the data to view the columns and their values sequentially
for k, v in data.iteritems():
    print(k)
    print(v)
Looping over dataframes to get the informtion about a row with respect to its columns
for k, v in data.iterrows():
    print(k)
    print(v)
Looping over datafrmes to view the data per row as a tuple with the column values
for row in data.itertuples():
    print(row)

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