How to Visualize Telegram Data in Python with pandas

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData API Driver for Python, the pandas & Matplotlib modules, and the SQLAlchemy toolkit, you can build Telegram-connected Python applications and scripts for visualizing Telegram data. This article shows how to use the pandas, SQLAlchemy, and Matplotlib built-in functions to connect to Telegram data, execute queries, and visualize the results.

With built-in optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Telegram data in Python. When you issue complex SQL queries from Telegram, the driver pushes supported SQL operations, like filters and aggregations, directly to Telegram and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Telegram Data

Connecting to Telegram data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

Using API Key Authentication

Telegram uses Bot Tokens to authenticate API requests. You can obtain a Bot Token by creating a bot via BotFather on Telegram (https://t.me/BotFather). Once created, BotFather will provide a token in the format

123456789:ABCdefGhIJKlmNoPQRsTUVwxyZ

.

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to APIKey.
• APIKey: Set this to your Telegram Bot Token obtained from BotFather.

Example connection string

Profile=C:\profiles\Telegram.apip;ProfileSettings='APIKey=your_bot_token';

Follow the procedure below to install the required modules and start accessing Telegram through Python objects.

Install Required Modules

Use the pip utility to install the pandas & Matplotlib modules and the SQLAlchemy toolkit:

pip install pandas
pip install matplotlib
pip install sqlalchemy

Be sure to import the module with the following:

import pandas
import matplotlib.pyplot as plt
from sqlalchemy import create_engine

Visualize Telegram Data in Python

You can now connect with a connection string. Use the create_engine function to create an Engine for working with Telegram data.

engine = create_engine("api:///?Profile=C:\profiles\Telegram.apip&ProfileSettings='APIKey=your_bot_token'")

Execute SQL to Telegram

Use the read_sql function from pandas to execute any SQL statement and store the resultset in a DataFrame.

df = pandas.read_sql("SELECT , FROM AvailableGifts WHERE = ''", engine)

Visualize Telegram Data

With the query results stored in a DataFrame, use the plot function to build a chart to display the Telegram data. The show method displays the chart in a new window.

df.plot(kind="bar", x="", y="")
plt.show()

👁 Telegram data in a Python plot (Salesforce is shown).

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps and scripts with connectivity to Telegram data. Reach out to our Support Team if you have any questions.

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Full Source Code

import pandas
import matplotlib.pyplot as plt
from sqlalchemy import create_engin

engine = create_engine("api:///?Profile=C:\profiles\Telegram.apip&ProfileSettings='APIKey=your_bot_token'")
df = pandas.read_sql("SELECT , FROM AvailableGifts WHERE = ''", engine)

df.plot(kind="bar", x="", y="")
plt.show()