Contenido del Curso
Excel Automation with Python
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.
Tarea
- Import
pandas
andopenpyxl
; - Extract the values of the
workbook
:- Use
load_workbook()
function that reads the file from the disk so that you can manipulate it; workbook.active
help get access to the currently active worksheet in the workbook;
- Use
sheet.values
property 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
Mark tasks as Completed
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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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.
Tarea
- Import
pandas
andopenpyxl
; - Extract the values of the
workbook
:- Use
load_workbook()
function that reads the file from the disk so that you can manipulate it; workbook.active
help get access to the currently active worksheet in the workbook;
- Use
sheet.values
property 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
Mark tasks as Completed
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 1. Capítulo 10
AVAILABLE TO ULTIMATE ONLY