What Is 'pandas'

∟What Is 'pandas'

This section describes what is 'pandas' and how to install 'pandas' with 'pip' command.

What Is pandas? pandas is a powerful Python data analysis toolkit that helps you to explore, clean, and manipulate your data.

Here are main features of pandas toolkit:

pandas supports the integration with many le formats or data sources out of the box (csv, excel, sql, json, parquet,. . . ).
pandas supports selecting or filtering specific rows and/or columns with conditions.
pandas provides plotting your data out of the box, using the power of Matplotlib.
pandas supports manipulations on columns, no need to loop over all rows of your data table to do calculations.
pandas provides basic statistics (mean, median, min, max, counts...) and custom aggregations on the entire data set, a sliding window of the data, or grouped by categories.
pandas can melt your data table from wide to long/tidy form or pivot from long to wide format.
pandas supports multi-table concatenation both column wise and row wise to combine multiple tables of data.
pandas supports for time series and has an extensive set of tools for working with dates, times, and time-indexed data.
pandas provides a wide range of functions to clean textual data and extract useful information from it.

Here is what I did to install pandas on my computer.

1. Make sure that python 3 is installed by running the "python --version" command in a terminal window:

herong$ python --version

Python 3.8.0

2. Install pandas toolkit using the "pip" (Package Installer for Python) command:

herong$ sudo pip install pandas

Requirement already satisfied: python-dateutil pytz numpy six

Successfully installed pandas-1.2.4

3. Verify pandas installation by importing "pandas" package.

herong$ python

>>> import pandas as pd

>>> pd.v2.15
'1.2.4'

Cool! I have pandas toolkit ready in my Python environment for data manipulation.

For more readings on pandas, visit pandas Website at https://pandas.pydata.org.

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