What are the most common parameters?

The most common parameters used with pandas.read_csv() are:

1. filepath_or_buffer: The path to the CSV file or a file-like object.

2. sep: The delimiter to use; default is ,. Common alternatives include \t for tab-separated values.

3. header: Row number(s) to use as the column names. Default is 0 (first row).

4. names: List of column names to use if there is no header.

5. index_col: Column(s) to set as the index of the DataFrame.

6. usecols: Specify which columns to read, either by column names or indices.

7. dtype: Data type for data or columns, allowing you to specify types for specific columns.

8. na_values: Additional strings to recognize as NA/NaN.

9. skiprows: Number of lines to skip at the start of the file or a list of row indices to skip.

10. nrows: Number of rows to read from the file.

These parameters are frequently used to customize how data is read from CSV files, making it easier to handle various file formats and structures.