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()?
Swipe to start coding
- Use the appropriate function to read the CSV file into a DataFrame.
- Use the appropriate function to export the DataFrame to an Excel file.
- Display the first 6 rows of the
dataDataFrame.
Lösung
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Completion rate improved to 14.29Import 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()?
Swipe to start coding
- Use the appropriate function to read the CSV file into a DataFrame.
- Use the appropriate function to export the DataFrame to an Excel file.
- Display the first 6 rows of the
dataDataFrame.
Lösung
Wechseln Sie zum Desktop, um in der realen Welt zu übenFahren Sie dort fort, wo Sie sind, indem Sie eine der folgenden Optionen verwendenDanke für Ihr Feedback!
