Openpyxl and Pandas
Let's now import an excel file and transform it into a pandas DataFrame!
Using openpyxl and pandas together allowing for efficient data analysis and the creation of feature-rich Excel reports directly from Python.
Taak
Swipe to start coding
- Import
pandasandopenpyxl; - Extract the values of the
workbook:- Use
load_workbook()function that reads the file from the disk so that you can manipulate it; workbook.activehelp get access to the currently active worksheet in the workbook;
- Use
sheet.valuesproperty generates a generator of all the rows in the worksheet, where each row is represented as a tuple of cell values.- Create a DataFrame (
df) out of them:- Use
pd.DataFrame()function.
- Use
Oplossing
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Completion rate improved to 9.09Openpyxl and Pandas
Let's now import an excel file and transform it into a pandas DataFrame!
Using openpyxl and pandas together allowing for efficient data analysis and the creation of feature-rich Excel reports directly from Python.
Taak
Swipe to start coding
- Import
pandasandopenpyxl; - Extract the values of the
workbook:- Use
load_workbook()function that reads the file from the disk so that you can manipulate it; workbook.activehelp get access to the currently active worksheet in the workbook;
- Use
sheet.valuesproperty generates a generator of all the rows in the worksheet, where each row is represented as a tuple of cell values.- Create a DataFrame (
df) out of them:- Use
pd.DataFrame()function.
- Use
Oplossing
Mark tasks as Completed
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