How Can I Import a CSV File into a Pandas DataFrame for Data Analysis?

Importing a CSV File as a Pandas DataFrame

Question:

How can I transform a CSV file containing financial data, into a structured Pandas DataFrame for data analysis?

Answer:

To import a CSV file into a Pandas DataFrame, the pandas.read_csv() function comes into play. Here's how you can do it step-by-step:

import pandas as pd

# Read the CSV file into a DataFrame
df = pd.read_csv("data.csv")

# Print the DataFrame to view its contents
print(df)

This code will create a DataFrame named df that contains all the data from your CSV file. The output will look like this:

        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

With your CSV data loaded into a Pandas DataFrame, you can effortlessly explore and manipulate it, leveraging Pandas' extensive data analysis capabilities.

The above is the detailed content of How Can I Import a CSV File into a Pandas DataFrame for Data Analysis?. For more information, please follow other related articles on the PHP Chinese website!