Goal

This is a package which converts files to different types.

Supported extensions

• CSV
• ARFF

Installation

pip install filepy --upgrade

Usage

This library is mainly divided into 2 ideas, namely writers and readers. Readers will read your files, writer will write in appropriate format.

Available classes:

• CsvReader
• CsvWriter
• ArffReader
• ArffWriter

Suppose that you have a csv file: example1.csv.

You want to convert this file to an arff format for instance converted.arff

from filepy.csv_reader import CsvReader
from filepy.arff_writer import ArffWriter
from filepy.file_converter import convert

csv_reader = CsvReader('example1.csv', delimiter=';')
arff_writer = ArffWriter('converted.arff', delimiter=',')

convert(input_reader=csv_reader, output_writer=arff_writer)

Additional options

Each writer and reader has additional options to use.

CsvReader

CsvReader(path_to_file, delimiter = ',', first_line_column_names = True, skip_first_column = False)

delimiter - how data is separated, can be regex
first_line_column_names - uses first line to read columns
skip_first_column - skips first column of data 

After creating object you can get data from it.

csv_reader = CsvReader('your/path/to/file')
data = csv_reader.dto.data
column_names = csv_reader.dto.data

CsvWriter

CsvWriter(path_to_file, delimiter = ',', skip_writing_columns = False)

delimiter - how data will be separated in generated file
skip_writing_column - whether first line in generated file should have columns names

ArffReader

ArffReader(path_to_file, delimiter = ',')

delimiter - how data is separated, can be regex

After creating object you can get data from it.

csv_reader = CsvReader('your/path/to/file')
data = csv_reader.dto.data
column_names = csv_reader.dto.columns

ArffWriter

ArffWriter(path_to_file, delimiter= ',')

delimiter - how data will be separated in generated file