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Series In Pandas

In this article, we will discuss about series in pandas.

What Is A Series In Pandas?

Series in pandas is a one-dimensional labeled array holding any type of data. Labeled array means assigning a unique id called label to each element of an array.

Example

Here is an example

import pandas as pd
my_list = [10,20,30]
print(pd.Series(my_list))

Here is an output

Picture showing the output of series in pandas

Click to Enlarge

Customizing The Labels In Series

You can also customize labels in a series. Consider the following example

import pandas as pd

my_list = [10,20,30]
labels = ['I', 'II', 'III']
print(pd.Series(my_list, labels))

Picture showing the output of series after customizing labels

Click to Enlarge

There are 2 important points to notice here

Dtype means the type of data a series holds.
Number of elements in label array should be same as list.

Converting Numpy Array To Series

You can also convert NumPy arrays to series

import numpy as np
import pandas as pd

my_list = [10,20,30]
arr = np.array(my_list)

print(pd.Series(arr))

Picture showing the output of converting NumPy array to series

Click to Enlarge

Converting Dictionary Into Series

Here is the code for converting dictionary to series

import pandas as pd

d = {'a':10,'b':20,'c':30}
print(pd.Series(d))

Here is the output

Picture showing the output of converting dictionary to series

Click to Enlarge

Print Series

Element in series can be accessed using indexes. Consider the following example

import numpy as np
import pandas as pd


d = {'a':10,'b':20,'c':30}

ser = pd.Series(d)

# Printing the series
print(ser['a'])

The output of the above program is ‘10’.

Using Labels As Data

You can also use labels as data

Posted By -	Karan Gupta

Posted On -	Wednesday, April 10, 2019

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