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What is the difference between Numpy and Pandas in Python ? | Neeraj Sharma
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Diifference between Numpy and Pandas in Python
To understand the difference between two you need to understand what is numpy and what is pandas? And what is the purpose of them. Let’s understand one by one:
What is numpy?
Numpy means numerical python
It's the short form of numerical python
Why do we use it?
If you want to do any array based or matrix based computation, calculation and data analysis then it is better to use numpy
How it could be helpful?
you can do complex calculations very easily with the help of numpy, for example:
- If you want to multiply or add two or more arrays, you need not to run any loop, using numpy you can just multiply or add them like any other scalar entity:
c=a+b
Similarly you can perform any element wise operations easily without using any loop with the help of numpy.
What is Pandas?
Pandas stands for “Python Data Analysis". It is most popular tool(python package) to do the data cleaning and analysis fast and easy.
Similarities in numpy and pandas
pandas adopted many coding styles from NumPy. Pandas also use the same style of working as the numpy uses it gives preference for data processing without loops
Difference between numpy and pandas:
#1
- Numpy works with arrays
- While pandas works with data frames and series
#2
- NumPy is best suited for working with homogeneous i.e same kind of data
- While Pandas is best suited for working with tabular or heterogeneous i.e different kind of data
#3
You need to import numpy package to use numpy, like:
import numpy as np
You need to import pandas package to use pandas, like:
import pandas as pd
To understand the difference between two you need to understand what is numpy and what is pandas? And what is the purpose of them. Let’s understand one by one:
What is numpy?
Numpy means numerical python
It's the short form of numerical python
Why do we use it?
If you want to do any array based or matrix based computation, calculation and data analysis then it is better to use numpy
How it could be helpful?
you can do complex calculations very easily with the help of numpy, for example:
- If you want to multiply or add two or more arrays, you need not to run any loop, using numpy you can just multiply or add them like any other scalar entity:
c=a+b
Similarly you can perform any element wise operations easily without using any loop with the help of numpy.
What is Pandas?
Pandas stands for “Python Data Analysis". It is most popular tool(python package) to do the data cleaning and analysis fast and easy.
Similarities in numpy and pandas
pandas adopted many coding styles from NumPy. Pandas also use the same style of working as the numpy uses it gives preference for data processing without loops
Difference between numpy and pandas:
#1
- Numpy works with arrays
- While pandas works with data frames and series
#2
- NumPy is best suited for working with homogeneous i.e same kind of data
- While Pandas is best suited for working with tabular or heterogeneous i.e different kind of data
#3
You need to import numpy package to use numpy, like:
import numpy as np
You need to import pandas package to use pandas, like:
import pandas as pd
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