Comments (7)
@SharonGutierrezCH upgrade gspread-dataframe from 3.2.1 to 3.2.2, which is compatible with gspread 5.0 and later.
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@burhanshah what version of gspread are you using?
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@burhanshah I see, this is the import problem solved by release 3.2.2 of gspread-dataframe. Make sure you are using 3.2.2, the latest version of gspread-dataframe, and you will be ok. Please let me know if upgrading solves your problem.
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@burhanshah Here is what I get for !pip list -v
in a brand new Google Colab notebook:
Note that gspread is version 3.4.2; the corresponding version of gspread-dataframe (3.0.8) should work just fine.
Is your notebook using a more recent gspread version? If it's >=5.0.0, then you will have to upgrade gspread-dataframe to 3.2.2.
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@burhanshah Has your problem been resolved?
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Closing this issue, since the cause has been discovered and need not be solved by any code changes or releases.
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hi @robin900 I have exactly the same problem as him, I've already searched the entire internet looking for a solution and I can't find it.
I have my latest versions of everything, I already tried it in different envs and nothing.
How can this be resolved?
my versions
gspread 5.12.0
gspread-dataframe 3.2.1
gspread-pandas 3.2.3
Please and thank you very much if you can help me
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Related Issues (20)
- Bug: Object of type int64 is not JSON serializable - introduced by Version 3.1.1 HOT 8
- Bug: escaping when allow_formulas = False is not returning any value HOT 1
- set_with_dataframe: TypeError: Object of type 'int64' is not JSON serializable HOT 2
- Sheets API erroneously rejects new rowCount if (new rowCount * old columnCount) > 5000000 (was: Bug in the number of cells of the dataframe HOT 4
- Cannot use gspread's add_row() method before using set_with_dataframe() HOT 8
- Can't import, "No module named gspread.models" HOT 1
- Consider allowing option to drop duplicates in set_with_dataframe HOT 4
- Data gets interpreted even when using dtype=str HOT 1
- Write header rows for DataFrames with MultiIndex columns so that Pandas reads them properly HOT 1
- Include formatting options in set_with_dataframe
- Consider offering a reader/writer object based on a given dataframe
- return API response from set_with_dataframe HOT 5
- No module named 'gspread' HOT 2
- Feature Request: Append feature to an existing sheet. HOT 1
- Max Cell Count
- Requests to sheets API cause 400 error is worksheet name is valid cell reference (was: Error using get_as_dataframe) HOT 1
- Newest version gspread not compatible HOT 7
- get_as_dataframe() is reading the whole sheet data HOT 1
- Advice to update just one column of a DataFrame in a worksheet (was: ValueError when trying to set a single column) HOT 1
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