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demesstify-2.2.0


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توضیحات

📱Demystifies your messages and allows for easy analysis and visualization of conversations.
ویژگی مقدار
سیستم عامل -
نام فایل demesstify-2.2.0
نام demesstify
نسخه کتابخانه 2.2.0
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Jake Brehm
ایمیل نویسنده <mail@jakebrehm.com>
آدرس صفحه اصلی -
آدرس اینترنتی https://pypi.org/project/demesstify/
مجوز -
<div align="center"> <img src="https://raw.githubusercontent.com/jakebrehm/demesstify/master/img/logo.png" alt="Demesstify Logo" width="600"/> <br> <h1>Demystify your messages.</h1> <br> <a href="https://github.com/jakebrehm/demesstify"><img alt="GitHub last commit" src="https://img.shields.io/github/last-commit/jakebrehm/demesstify?color=blue&logo=Git&logoColor=white&style=for-the-badge"></a> <a href="https://github.com/jakebrehm/demesstify/blob/master/license.txt"><img alt="GitHub license" src="https://img.shields.io/github/license/jakebrehm/demesstify?color=limegreen&style=for-the-badge"></a> <a href="https://pypi.org/project/demesstify/"><img alt="PyPI Page" src="https://img.shields.io/pypi/v/demesstify?color=blue&logo=pypi&logoColor=white&style=for-the-badge"></a> <a href="https://pypistats.org/packages/demesstify"><img alt="PyPI Downloads" src="https://img.shields.io/pypi/dm/demesstify?color=limegreen&logo=pypi&logoColor=white&style=for-the-badge"></a> <br> </div> <p align="center"> <strong>demesstify</strong> is a Python library that demystifies your messages and allows for easy analysis and visualization of conversations. </p> <hr> ## Table of contents * [Main features](#main-features) * [Installation](#installation) * [Dependencies](#dependencies) * [Documentation](#documentation) * [Example usage](#example-usage) * [Analyzing the messages](#analyzing-the-messages) * [Creating a word cloud](#creating-a-word-cloud) * [Future improvements](#future-improvements) * [Authors](#authors) ## Main features Here are just a few things that `demesstify` can do: * Read message data from various sources, including your local iMessages database, a [Tansee](https://www.tansee.com) text file, or some randomly generated dummy text * Perform text analysis on your messages so you can see things like the average number of texts received per day or the most number of messages that were sent in a row * Analyze which emojis or reactions (if you're using iMessage) were most frequently used, among other thing * Perform sentiment analysis on your messages to see the polarity of your conversations * Calculate statistics about the attachments you exchanged (if you're using iMessage) * Generate tailored visualizations such as word clouds or a radial heatmap that plots hour of the day against day of the week ## Installation `demesstify` can be installed via pip: ``` pip install demesstify ``` The source code can be viewed on GitHub [here](https://github.com/jakebrehm/demesstify). ### Dependencies `demesstify` depends on the following packages: | Package | Description | | ------------------------------------------------------ | ------------------------------------- | | [pandas](https://github.com/pandas-dev/pandas) | For easy manipulation of message data | | [matplotlib](https://github.com/matplotlib/matplotlib) | For visualizations | | [wordcloud](https://github.com/amueller/word_cloud) | For creating wordclouds | | [vaderSentiment](https://github.com/cjhutto/vaderSentiment) | For sentiment analysis | | [calmap](https://github.com/martijnvermaat/calmap) | For creating calendar heatmaps | | [emoji](https://github.com/carpedm20/emoji) | For working with emojis | | [lorem](https://github.com/sfischer13/python-lorem) | For creating dummy text | ## Documentation For information on how to use `demesstify`, please see the [documentation](https://demesstify.readthedocs.io/). ## Example usage ### Analyzing the messages ```python import demesstify as dm from demesstify.analysis import emojis, sentiment, text # Create the messages object and dataframes from dummy text messages = dm.Messages.from_random(total_messages=1000) all_df = messages.get_all() sent_df = messages.get_sent() received_df = messages.get_received() # Determine the 3 most frequent emojis most_frequent_emojis = emojis.Emojis(all_df).get_most_frequent(3) # Determine the total number of messages sent total_messages_sent = text.Text(sent_df).get_total() # Determine the average number of messages received per day average_received_daily = text.Text(received_df).get_average_per_day() # Determine the number of times "velit" appear as a substring velit_count = text.Text(all_df).get_count_of_substring('velit') # Determine the average polarity of the messages average_polarity = sentiment.Sentiment(all_df).get_average_sentiment() ``` ### Creating a word cloud ```python import demesstify as dm from demesstify.visualize import cloud # Create the messages object and dataframes from dummy text messages = dm.Messages.from_random(total_messages=1000) # Create and save a Cloud object wordcloud = cloud.Cloud(messages.as_string('all')) wordcloud.min_word_length = 3 wordcloud.repeat = False # will not repeat any words wordcloud.collocations = False # will not include pairs of words wordcloud.include_numbers = False # will not include numbers wordcloud.generate() wordcloud.save('wordcloud.png') ``` <div align="center"> <img src="https://raw.githubusercontent.com/jakebrehm/demesstify/master/img/wordcloud.png" alt="Sample WordCloud"/> </div> ## Future improvements - Add support for other message sources, e.g. Android or social media platforms - Add unit tests ## Authors - **Jake Brehm** - [Email](mailto:mail@jakebrehm.com) | [Github](http://github.com/jakebrehm) | [LinkedIn](http://linkedin.com/in/jacobbrehm)


نیازمندی

مقدار نام
- pandas
- matplotlib
- wordcloud
- emoji
- lorem
- vaderSentiment
- calmap


نحوه نصب


نصب پکیج whl demesstify-2.2.0:

    pip install demesstify-2.2.0.whl


نصب پکیج tar.gz demesstify-2.2.0:

    pip install demesstify-2.2.0.tar.gz