python_cut(file_path, delimiter, list_of_cols): """
next_is_wide = wide_unwide.sort(by='timestamp').with_columns(
Emulatesnext_wide the= 'cut'pl.col("is_wide").shift(-1),
command in Python,next_unwide for= filespl.col("is_unwide").shift(-1),
only. ).filter(
(pl.col("is_wide") == 0) & (pl.col("next_wide") == 1)
)
Args: - file_path (str): Path to the input file.
- delimiter (str): The delimiter character.
- list_of_cols (list): List of column indices to extract.
"""
try:
with open(file_path, 'r') as file:
for line in file:
# Split the line using the specified delimiter
fieldsnext_is_unwide = line.strip(wide_unwide.sort(by='timestamp').split(delimiter)
with_columns(
# Select the specified columns, adjusting for 0-based index
selected_fieldsnext_wide = [fields[i-1]pl.col("is_wide").shift(-1),
for i in list_of_cols if i-1 < len(fields)]
next_unwide = pl.col("is_unwide").shift(-1),
#).filter(
Join the selected fields with the delimiter and print print(delimiter.join(selected_fields)(pl.col("is_wide")
== 1) & (pl.col("next_unwide") == 1)
except)
Exception as e: print(f"Error: {e}")
# Example usage:
# python_cut('path_to_your_file.txt', ';', [6, 9])
