Create a Series from a List, Numpy Array, and Dictionary in Pandas

Pandas is an open-source Python library providing high-performance data manipulation and analysis tools using its powerful data structures. The name Pandas is derived from the word Panel Data - an Econometrics term for multidimensional data.

A Series is a one-dimensional labeled array capable of holding data of any type (integer, string, float, Python objects, etc.). The axis labels are collectively called the index.

To create a series, first install the pandas library using pip ?

pip install pandas

Create a Pandas Series from a List

You can create a series from a list by passing the list as a parameter to pd.Series() ?

import pandas as pd

# Create a List
myList = [5, 10, 15, 20, 25, 30]

# Create a Pandas series using the Series() method
res = pd.Series(myList)
print("Series = \n", res)

Series = 
0     5
1    10
2    15
3    20
4    25
5    30
dtype: int64

Create a Pandas Series from a Numpy Array

To create a series from a NumPy array, first import both pandas and numpy libraries ?

import pandas as pd
import numpy as np

# Create an array using numpy.array()
arr = np.array([5, 10, 15, 20, 25, 30])

# Create a Pandas series using the Numpy array
res = pd.Series(arr)
print("Series = \n", res)

Series = 
0     5
1    10
2    15
3    20
4    25
5    30
dtype: int64

Create a Pandas Series from a Dictionary

When creating a series from a dictionary, the dictionary keys become the index labels and the values become the series data ?

import pandas as pd

# Create a Dictionary with Keys and Values
data_dict = {
   "A": "demo",
   "B": 40,
   "C": 25,
   "D": "Yes"
}

# Create a Pandas series using Dictionary
res = pd.Series(data_dict)
print("Series = \n", res)

Series = 
A    demo
B      40
C      25
D     Yes
dtype: object

Comparison of Methods

Conclusion

Pandas Series can be created from lists, NumPy arrays, and dictionaries using pd.Series(). Dictionaries provide custom index labels, while lists and arrays use automatic integer indexing starting from 0.