How to Create Pandas Dataframe From a List

1. Use Single List to Create Pandas DataFrame
2. Use Multiple Lists to Create Pandas DataFrame
3. Use Multi-Dimensional List to Create Pandas DataFrame
4. Create DataFrame from a Dictionary of Lists

Pandas allow us to create Pandas DataFrame from a list using the pd.DataFrame() method. We can achieve this using a single list, multiple lists, and multi-dimensional lists.

Use Single List to Create Pandas DataFrame

It is the most basic case which creates a Dataframe out of a single list. We simply pass the list to pd.DataFrame() and the result is a single column Dataframe.

Example:

import pandas as pd
import numpy as np

lst = ["Jay", "Raj", "Jack"]
df = pd.DataFrame(lst, columns=["Name"])

print(df)

Output:

   Name
0   Jay
1   Raj
2  Jack

Use Multiple Lists to Create Pandas DataFrame

For creating a Pandas DataFrame from more than one list, we have to use the zip() function. The zip() function returns an object of zip type which pairs the elements at first position together, at second position together, and so on. Here each list acts as a different column.

Example:

import pandas as pd
import numpy as np

lst1 = ["Jay", "Raj", "Jack"]
lst2 = [12, 15, 14]
df = pd.DataFrame(list(zip(lst1, lst2)), columns=["Name", "Age"])
print(df)

Output:

   Name  Age
0   Jay   12
1   Raj   15
2  Jack   14

Use Multi-Dimensional List to Create Pandas DataFrame

A list that contains another list is called a multi-dimensional list. In this case, each list, which is nested inside the main list, acts as a row for the dataframe. The following example will show how:

import pandas as pd
import numpy as np

lst = [["Jay", 12, "BBA"], ["Jack", 15, "BSc"]]
df = pd.DataFrame(lst, columns=["Name", "Age", "Course"])
print(df)

Output:

   Name  Age Course
0   Jay   12    BBA
1  Jack   15    BSc

Create DataFrame from a Dictionary of Lists

import pandas as pd

track_no = [1, 2, 3, 4, 5]
songs_list = ["Circles", "Rockstar", "SunFlower", "Better Now", "Congratulations"]

songs_df = pd.DataFrame({"Track No": track_no, "Song Name": songs_list})

print(songs_df)

Output:

   Track No        Song Name
0         1          Circles
1         2         Rockstar
2         3        SunFlower
3         4       Better Now
4         5  Congratulations

It creates a DataFrame from the dictionary of lists whose key represents the column name and values represent the column’s values with column name specified by the key.