In this tutorial, we will introduce how to create python pandas series with python list, dict and numpy array using pd.Series().

1.Create an empty series

import pandas as pd
s = pd.Series()
print(s)

In python pandas, pd.Series() will create an empty series defaultly.

2.Create a series using python list

import pandas as pd
items = [1,2,3,4]
s = pd.Series(items)
print(s)

Here items is a python list, we will use it to create a pandas series.

Run this code, we will see:

0 1
1 2
2 3
3 4
dtype: int64

3.Create a series using python dictionary

import pandas as pd
import numpy as np
data = { 'uk':'united kingdom','fr':'france' }
s = pd.Series(data)
print(s)

Here data is python dictionary, run this code, we will see this series:

uk    united kingdom
fr            france
dtype: object

4.Create a series using numpy array

import pandas as pd
import numpy as np
data = np.array(['x','y','z'])
s = pd.Series(data)
print(s)

Here data is numpy array, run this code we will see:

0    x
1    y
2    z
dtype: object