Data Science

DS DataFrame

DataFrame with Pandas:
In this tutorial, we will use Pandas libriary

To create a DataFrame with Pandas:
A data frame is a structured representation of data.
Let's define a data frame with:
3 columns and 5 rows with fictional numbers:

Example:
import pandas as pd

d = {'col1': [1, 2, 3, 4, 7],
'col2': [4, 5, 6, 9, 5],
'col3': [7, 8, 12, 1, 11]}
df = pd.DataFrame(data=d)
print(df)

Output:


Explaining this Example, we will first:

1.-Import the Pandas library as pd
2.-Define data with column and rows in a variable named d
3.-Create a data frame using the function pd.DataFrame()
4.-The data frame contains 3 columns and 5 rows
5.-With the print() function, we Print the data frame output

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