Ignore UserWarning from openpyxl using pandas

Question

I have tons of .xlsm files that I have to load. Each Excel file has 6 sheets. Because of that, I’m opening each Excel file like this, using pandas:

for excel_file in files_list:
    with pd.ExcelFile(excel_file, engine = "openpyxl") as f:
        df1 = pd.read_excel(f, "Sheet1")
        df2 = pd.read_excel(f, "Sheet2")
        df3 = pd.read_excel(f, "Sheet3")
        ...

After each iteration I am passing the df to other function and do some stuff with it. I am using pd.ExcelFile to load the file into memory just once and then separate it on DataFrames.

However, when doing this, I am getting the following warning:

/opt/anaconda3/lib/python3.8/site-packages/openpyxl/worksheet/_reader.py:300: UserWarning: Data Validation extension is not supported and will be removed
warn(msg)

No matter the warning, the information is loaded correctly from the Excel file and no data is missing. It takes about 0.8s to load each Excel file and all of its sheets into df. If I use the default engine on pandas to load each Excel file, the warning goes away, but the time it takes for each file goes up to 5 or even 6 seconds.

I saw this post, but there wasn’t an answer on how to remove the warning, which is what I need, as everything’s working correctly.

How can I disable said UserWarning?

Asked By: Jose Vega

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Source

Answer 1

You can do this using warnings core module:

import warnings

warnings.filterwarnings('ignore', category=UserWarning, module='openpyxl')

You can also specify the particular module you’d like to silence warnings for by adding an argument module="openpyxl".

Answered By: pavel

Answer 2

See What causes "UserWarning: Discarded range with reserved name" – openpyxl — different warning, same solution – so you put the warnings back to default after you open the book, since there may be other warnings that you do want to see.

import warnings
warnings.simplefilter("ignore")
wb = load_workbook(path)
warnings.simplefilter("default")

Answered By: Hammurabi

Answer 3

If you want to ignore this warning specifically, and do it in a given context only, you can combine catch_warnings and filterwarnings with the message argument. E.g:

import warnings

with warnings.catch_warnings():
    warnings.filterwarnings("ignore", message="Data Validation extension is not supported and will be removed")
    data = pd.read_excel(f, sheet_name=None)

Note: sheet_name=None will read all the Excel sheets in one go too.

Answered By: Mad

Ignore UserWarning from openpyxl using pandas

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