Creating a Pandas dataframe using list of tuples

We can create a DataFrame from a list of simple tuples, and can even choose the specific elements of the tuples we want to use.

Code #1: Simply passing tuple to DataFrame constructor.

# import pandas to use pandas DataFrame
import pandas as pd

# data in the form of list of tuples
data = [('Peter', 18, 7),
        ('Riff', 15, 6),
        ('John', 17, 8),
        ('Michel', 18, 7),
        ('Sheli', 17, 5) ]


# create DataFrame using data
df = pd.DataFrame(data, columns =['Name', 'Age', 'Score'])

print(df)

Output:


Code #2: Using from_records()

import pandas as pd

# data in the form of list of tuples
data = [('Peter', 18, 7),
        ('Riff', 15, 6),
        ('John', 17, 8),
        ('Michel', 18, 7),
        ('Sheli', 17, 5) ]


# create DataFrame using data
df = pd.DataFrame.from_records(data, columns =['Team', 'Age', 'Score'])

print(df)

Output:

Code #3: Using from_items()

import pandas as pd

# data in the form of list of tuples
data = [
('Age', [18, 15, 17, 18, 17]),
('Team', ['A', 'B', 'A', 'C', 'B']),
('Score', [7, 6, 8, 7, 5]),
]

# create DataFrame using data
df = pd.DataFrame.from_items(data)

print(df)

Output:


Code #4: For pivoting it possible.

# import pandas to use pandas DataFrame
import pandas as pd

# data in the form of list of tuples
data = [('Peter', 18, 7),
        ('Riff', 15, 6),
    ('John', 17, 8),
    ('Michel', 18, 7),
    ('Sheli', 17, 5) ]


# create DataFrame using data
df = pd.DataFrame(data, columns =['Team', 'Age', 'Score'])

a = df.pivot('Team', 'Score','Age')
print(a)

Output: