read_csv

ssapy.io.read_csv(file_name, sep=None, dtypes=None, col=False, to_np=False, drop_nan=False, skiprows=[])[source][source]

Read a CSV file with options.

Parameters:

  • file_name (str) – The path to the CSV file.

  • sep (str, optional) – The delimiter used in the CSV file. If None, delimiter will be guessed.

  • dtypes (dict, optional) – Dictionary specifying data types for columns.

  • col (bool or list of str, optional) – Specify columns to read. If False, read all columns.

  • to_np (bool, optional) – Convert the loaded data to a NumPy array.

  • drop_nan (bool, optional) – Drop rows with missing values (NaNs) from the loaded DataFrame.

  • skiprows (list of int, optional) – Rows to skip while reading the CSV file.

Returns:

The loaded data in either a DataFrame or a NumPy array format.

Return type:

DataFrame or NumPy array