Pandas Read CSV
Pandas Read CSV
In Pandas, read_csv() is used to load data from a CSV (Comma-Separated Values) file into a DataFrame. It is one of the most common ways to work with real-world data.
Basic Syntax
Example
Common read_csv() Parameters
1. Separator (Delimiter)
2. Read Specific Columns
3. Set Index Column
4. Skip Rows
5. Limit Rows
6. Handle Missing Values
7. Change Column Names
8. Encoding Issues
Viewing Data After Reading CSV
Save Data Back to CSV
Real-World Example
Common Errors & Fixes
| Error | Solution |
|---|---|
| File not found | Check file path |
| Encoding error | Try encoding="latin1" |
| Wrong separator | Set correct sep |
Conclusion
read_csv() makes it easy to load and analyze CSV data in Pandas. Mastering its parameters helps you handle messy and large datasets efficiently.
