I want to make firstname and lastname format name in one of column of csv file . Rows having different length

Question

given column details as:

José Ignacio Montano Moya

Robert Adam

Michael Vormittag

Akshay Mittal

Jürgen Bohn

Pedro X.

MTIA Melchor Aranda

Chandra Keerthy

Guy Van Houtte

Juan Carlos Rodriguez V.

Juan Carlos Villegas Aguilar

John Martin

Dan Zalacain

Sarthak Nayak

Toni Elias

Gustavo Adolfo García Padilla

Atif T.

Jeffrey Cheng

Ian Thompson

Martin Bluck

Jorge Alejandro Alva Garcia

Mark Morava

Andrea Bettoni

Christophe Mille

Mark W.

Joshua Stewart

Paul Gaytan

Manoj Nair

Vilasini Prabhu

Abraham A.

Wissam Al Adany

Antonio Armando Rebelo

Françoise Charvet-Quemin

Kathleen Garber

Sushil Anand (He/Him/His)

Answer 1

Here's a Python code snippet that formats the "name" column in the CSV file to have the firstname and lastname format:

import csv

def format_name(name):

    name_parts = name.split()

    firstname = name_parts[0]

    lastname = ' '.join(name_parts[1:])

    return f"{firstname} {lastname}"

# Read the CSV file

with open('input.csv', 'r') as csvfile:

    reader = csv.DictReader(csvfile)

    rows = list(reader)

# Update the name column

for row in rows:

    row['name'] = format_name(row['name'])

# Write the updated data to a new CSV file

with open('output.csv', 'w', newline='') as csvfile:

    fieldnames = reader.fieldnames

    writer = csv.DictWriter(csvfile, fieldnames=fieldnames)

    writer.writeheader()

    writer.writerows(rows)

This code assumes that the input CSV file is named 'input.csv' and it has a column named 'name' that contains the names in various formats. The code reads the CSV file using csv.DictReader and stores the rows in a list. Then, it iterates over the rows and applies the format_name function to the 'name' column, updating the values. Finally, it writes the updated data to a new CSV file named 'output.csv' using csv.DictWriter.

Answer 2

import pandas as pd

df = pd.read_csv('input.csv')

df['name'] = df['name'].apply(lambda x: ' '.join(x.split()[0:2]))

df.to_csv('output.csv', index=False)

This code uses the pandas library to read the input CSV file into a DataFrame (df). It then applies a lambda function to the 'name' column using the apply method. The lambda function splits the name string into words and selects the first two words (firstname and lastname) using slicing. It then joins these selected words back into a single string with a space in between.

Finally, the updated DataFrame is saved to an output CSV file named 'output.csv' using the to_csv method, with the index=False parameter to exclude the index column from the output.

Note: Make sure to replace 'input.csv' and 'output.csv' with the actual file names/path according to your environment.

Answer 3

Given below is the correct code you can use for your repective question:

import pandas as pd

# Load the input CSV file

df = pd.read_csv('input.csv')

# Format the 'name' column

df['name'] = df['name'].apply(lambda x: ' '.join(x.split()[0:2]))

# Save the updated data to an output CSV file

df.to_csv('output.csv', index=False)