Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Lernen Import and Export Files | Pandas
Unveiling the Power of Data Manipulation with Pandas
course content

Kursinhalt

Unveiling the Power of Data Manipulation with Pandas

book
Import and Export Files

You may be wondering: Yes, working with DataFrames is engaging, but what if I have a dataset of 1,000,000 rows? I can't manually input every single row.

For this reason, pandas offers several methods to read and write data from and to various file formats, such as CSV, Excel, and JSON. These functions come with many options and parameters that allow you to customize how data is read and written.

P.S. These are just a few of the methods available. Did you know that you can also run SQL queries via pd.read_sql()?

Aufgabe

Swipe to start coding

  1. Use the appropriate function to read the CSV file into a DataFrame.
  2. Use the appropriate function to export the DataFrame to an Excel file.
  3. Display the first 6 rows of the data DataFrame.

Lösung

Mark tasks as Completed
Switch to desktopWechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwenden
War alles klar?

Wie können wir es verbessern?

Danke für Ihr Feedback!

Abschnitt 1. Kapitel 3
We're sorry to hear that something went wrong. What happened?
some-alt