Python CSV Tools

0.0.14 verified Fri May 01 auth: no python

A lightweight library for manipulating CSV files, providing helpers for reading, writing, and transforming CSV data. Current version is 0.0.14, with slow release cadence. Suitable for small to medium CSV processing tasks.

pip install python-csv

Common errors

error ModuleNotFoundError: No module named 'python_csv' ↓

cause Attempting to import the package name as a module. The package is not a module; it may install scripts or be incompatible.

fix

Uninstall with 'pip uninstall python-csv' and use Python's built-in csv module: 'import csv'.

error AttributeError: module 'csv' has no attribute 'writer' ↓

cause Confusion between python-csv library and standard library. If python-csv overrides the standard csv module, it may not have the expected attributes.

fix

Remove python-csv from your environment and rely on standard library: 'import csv'.

Warnings

gotcha The package 'python-csv' is not the Python standard library csv module. Many users mistakenly pip install 'python-csv' thinking it provides extra features, but it is a third-party package with very limited functionality. Prefer using Python's built-in 'csv' module which is more robust. ↓

fix Use 'import csv' from the standard library. Uninstall python-csv if you don't need its specific tools.

gotcha The package 'python-csv' has no official documentation and its API is not clearly defined. The GitHub README is minimal. Use at your own risk.

deprecated The package has not seen updates since 2020. Consider alternatives like pandas, csvkit, or standard library csv.

Imports

csv
wrong
```
from python_csv import csv
```
correct
```
import csv
```
Incorrect: the library is not a module name. Use standard import.

Quickstart

Basic example using Python's built-in csv module (no separate library needed). The python-csv library itself is not typically used; Python's standard library suffices.

import csv

# Write a simple CSV file
data = [['Name', 'Age'], ['Alice', 30], ['Bob', 25]]
with open('output.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerows(data)

# Read the CSV back
with open('output.csv', 'r') as f:
    reader = csv.reader(f)
    for row in reader:
        print(row)