'How can I import several Excel sheets into separate pandas dataframes?
I've reviewed this post: Pandas: Save multiple sheets into separate dataframes, however it doesn't seem to address my problem.
So this creates a dictionary with sheet names as keys, and dataframes as values:
sheets = pd.read_excel('Data Series.xlsx',sheet_name=None)
sheets["CPI"] outputs a dataframe.
What I want to do is assign that to its own dataframe like:
df_CPI = sheets["CPI"], however I have about 10 sheets to do so I'd rather run it as a loop if possible.
Something like
for sheet,dataframe in sheets.items():
df_`sheet` = pd.read_excel(xls, sheet)
Solution 1:[1]
To create dynamically variables, you have to use globals() or locals() (which is strongly discouraged). The dict version is better.
sheets = pd.read_excel('Data Series.xlsx',sheet_name=None)
for sheet, dataframe in sheets.items():
globals()[f'df_{sheet}'] = dataframe
Now you can use df_CPI as a variable.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Corralien |
