persistentdatatools 2.2.13

This is a library used to manipulate, and save data quickly.

BRANCH	STATUS
master
develop

Python Script: persistentdatatools

Documentation

Written By: Benjamin P. Trachtenberg

If you have any questions e-mail me

Contact Information: [e-mail]

LinkedIn: Ben Trachtenberg

Docker Hub: Docker Hub

PyPi Page for persistentdatatools

Requirements

• Nothing Specific besides Python 3

Installation

• From source "setup.py install"
• From pip "pip install persistentdatatools"

Languages

• Python

About

This is a library used to manipulate, and save data quickly. It is just a bunch of shortcuts I use quite a bit to manipulate saved data.

Functions included in v2.0.0

• list_to_file(orig_list, file_name, file_location)
• file_to_list(file_name, file_location)
• csv_to_dict(file_name, file_location)
• store_object(file_name, save_key, file_location, object_to_store=None)
• retrieve_object_from_file(file_name, save_key, file_location)
• delete_object_from_file(file_name, save_key, file_location)
• verify_key_in_shelve(file_name, save_key, file_location)
• remove_spaces(string_item)
• remove_spaces_add_hyphen(string_item)
• remove_extra_spaces(string_item)
• verify_file_exists(file_name, file_location)
• verify_directory(directory_name, directory_location, directory_create=False)
• file_name_increase(file_name, file_location)
• dict_to_csv(orig_dict, file_name, field_names_tuple, file_location)
• remove_symbol_add_symbol(string_item, remove_symbol, add_symbol)
• list_files_in_directory(full_directory_path)

Functions added in v2.2.2

• get_keys_from_shelve(file_name, file_location)

Update to Functions in v2.2.5

• retrieve_object_from_file: Uses get to retrieve key now, will not throw exception if it doesn't exist

• verify_key_in_shelve: Uses get to retreive key now, will still return True, or False

Functions added in v2.2.5

• split_string_retain_spaces(string)
• split_strings_in_list_retain_spaces(orig_list)
• join_split_string(split_string)

Functions added in v2.2.6

• random_line_data(chars_per_line=80)
• random_data(line_count=1, chars_per_line=80)