In This Article, You Will Learn about Python Pandas Introduction
Python Pandas Introduction – Before moving ahead, let’s know about Numpy Tutorial
Table of Contents
Installation of Pandas
If you have installed Python and PIP in your system, then you can install Pandas in Python by following this command in Terminal section –
pip install pandas
If it gets failed, then go with Python distribution that (Anaconda, Spyder, etc.,) already comes with Pre-installed.
Import Pandas
You can import Pandas as once it is installed by using keyword import.
import pandas
Let’s get started with first Pandas project.
Example – Creating Pandas Object.
import pandas
first_data = { 'language': ["Python", "C++", "Java"],
'platforms': ["Windows", "macOS", "Linux"] }
data = pandas.DataFrame(first_data)
print(data)
Output –
language Platforms
0 Python Windows
1 C++ macOS
2 Java Linux
As shown above, it returned a table having “first_data” as its column with index number.
Pandas as pd
pd is an alternative name to import Pandas.
import as pd
Now Pandas can be imported as pd
Example – Creating Pandas Object as pd
import pandas as pd
first_data = { 'language': ["Python", "C++", "Java"],
'platforms': ["Windows", "macOS", "Linux"] }
data = pd.DataFrame(first_data)
print(data)
Output –
language Platforms
0 Python Windows
1 C++ macOS
2 Java Linux
As shown above, it returned a table having “first_data” as its column with index number.
Checking Pandas Version
Pandas version is stored under __version__ attribute.
import pandas as pd
print(pd.__version__)
If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.
