How Can I Import a CSV File into a Pandas DataFrame?

Pandas: Importing CSV Files as DataFrames

To import a CSV file as a Pandas DataFrame, the solution is quite simple. Pandas provides a convenient read_csv function that takes care of this task.

Import the data

import pandas as pd

Read the CSV file

To read the given CSV file into a DataFrame, use the read_csv function:

df = pd.read_csv("data.csv")

Output the DataFrame

Once the data is read, you can print the DataFrame to view its contents:

print(df)

This will output the CSV data as a DataFrame with the following columns:

• Date
• "price"
• "factor_1"
• "factor_2"

And their corresponding values. Here's an example output:

        Date    price  factor_1  factor_2
0  2012-06-11  1600.20     1.255     1.548
1  2012-06-12  1610.02     1.258     1.554
2  2012-06-13  1618.07     1.249     1.552
3  2012-06-14  1624.40     1.253     1.556
4  2012-06-15  1626.15     1.258     1.552
5  2012-06-16  1626.15     1.263     1.558
6  2012-06-17  1626.15     1.264     1.572

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