Create and display a one-dimensional array-like object using Pandas in Python

Last Updated : 18 Aug, 2020

Series() is a function present in the Pandas library that creates a one-dimensional array and can hold any type of objects or data in it. In this article, let us learn the syntax, create and display one-dimensional array-like object containing an array of data using Pandas library.

pandas.Series()

Syntax : pandas.Series(parameters) Parameters :
data : Contains data stored in Series.
index : Values must be hashable and have the same length as data.
dtype : Data type for the output Series.
name : The name to give to the Series.
copy : Copy input data.
Returns : An object of class Series

Example 1 : Creating Series from a list

Python3 1==

# import the library
import pandas as pd

# create the one-dimensional array
data = [1, 2, 3, 4, 5]

# create the Series
ex1 = pd.Series(data)

# displaying the Series
print(ex1)

Output :

Example 2 :Creating a Series from a NumPy array.

Python3 1==

# import the pandas and numpy library
import pandas as pd
import numpy as np

# create numpy array
data = np.array(['a', 'b', 'c', 'd'])

# create one-dimensional data
s = pd.Series(data)

# display the Series
print(s)

Output :

Example 3: Creating a Series from a dictionary.

Python3 1==

# import the pandas library
import pandas as pd

# create dictionary
dict = {'a' : 0.1, 'b' : 0.2, 'c' : 0.3}

# create one-dimensional data
s = pd.Series(dict)

# display the Series
print(s)

Output :

Example 4 :Creating a Series from list of lists.

Python3 1==

# importing the module
import pandas as pd

# creating the data
data = [['g', 'e', 'e', 'k', 's'],
        ['f', 'o', 'r'],
        ['g', 'e', 'e', 'k', 's']]

# creating a Pandas series of lists
s = pd.Series(data)

# displaying the Series
print(s)