Open wonb168 opened 1 week ago
Hey @wonb168,
I was never able to produce an XLSX with inline strings, so couldn't add proper support to it. :smile: It looks like you tried to upload the XLSX, but it didn't work. Could you maybe try again -- if possible, as a minimal example?
I uploaded the Excel,please see the attachment
this xlsx file
import pandas as pd
df=pd.DataFrame({'a':range(10)})
df.to_excel('ten.xlsx',index=0)
select * from sheetreader('ten.xlsx',has_header = true);
Binder Error: Inline & dynamic String types not supported yet
import polars as pl
df = pl.DataFrame({"foo": [1, 2, 3], "bar": [None, "bak", "baz"]})
df.write_excel("pl.xlsx")
D select * from sheetreader('pl.xlsx',has_header = true);
┌────────────┬──────┐
│ foo │ bar │
│ date │ date │
├────────────┼──────┤
│ 1900-01-01 │ │
│ 1900-01-02 │ │
│ 1900-01-03 │ │
└────────────┴──────┘
select * from sheetreader('pl.xlsx',has_header = true,types=[DOUBLE,VARCHAR]);
Binder Error: User defined type for column with index 0 is not compatible with actual type
df_problem = pd.DataFrame(
data={"id": ["id1", "id2", "id3"], "name": ["nm1", "nm2", "nm3"]},
index=[1, 2, 3],
)
df_problem.to_excel("pl2.xlsx")
read from number columns are all empty
select * from sheetreader('pl2.xlsx');
┌─────────┬─────────┬──────────┐
│ String0 │ String1 │ Numeric2 │
│ varchar │ varchar │ double │
├─────────┼─────────┼──────────┤
│ │ id │ │
│ │ id1 │ │
│ │ id2 │ │
│ │ id3 │ │
└─────────┴─────────┴──────────┘
fixed with skip_rows=1,coerce_to_string
D select * from sheetreader('pl2.xlsx',has_header=TRUE,coerce_to_string=TRUE);
Binder Error: First row must contain only strings when has_header is set to true
D select * from sheetreader('pl2.xlsx',skip_rows=1,coerce_to_string=TRUE);
┌──────────┬─────────┬─────────┐
│ Numeric0 │ String1 │ String2 │
│ double │ varchar │ varchar │
├──────────┼─────────┼─────────┤
│ 1.0 │ id1 │ nm1 │
│ 2.0 │ id2 │ nm2 │
│ 3.0 │ id3 │ nm3 │
└──────────┴─────────┴─────────┘
I read a excel,all sheets are OK except first 1, but I don't find any different
error:
SQL ERROR: java.sql.SQLException: Binder Error: Inline & dynamic String types not supported yet
why? thanks! [Uploading address.xlsx…]()