TeleVisuals 0.0.2

A package to help you visualize exports from telegram chats

Introduction

The purpose of the package is to help you to visualize the chat messages from a Telegram Chat Group. It is still in development and the features are not extensive. As of now, there are 4 main features in this package (with hopes of more being added)

Installation

pip install TeleVisuals

Usage

from TeleVisuals import TeleVisuals as tv

Functions

Clean Data

tv.chat_clean(json_file_path)

This function allows you to clean the json export from your telegram chat. The output is a cleaned pandas dataframe with your messages organised by "from", "time", and "messages".

Visualise most commonly used words and custom words

tv.common_word(dataframe, no_of_words)
tv.custom_words(dataframe, list_of_words)

These functions allow you to visualise words used in your chat. The common_word function will allow you to select how many words you want to visualise while the custom_words function will allow you to input a list of words that you want to visualise.

Visualise user replies and user responses

tv.user_talk(dataframe)
tv.user_replies(dataframe)

These functions allow you to visualise the number of times each user spoke and the number of times each user responded to another user. Good to see who is the most talkative one amongst your friends.

Dependencies

Pandas: Self-explanatory (who doesn't need pandas?)

plotly.express: To enable the visualisations

json: To parse the json file from Telegram chat export