Version 0.20.30 bug about polars HOT 4 CLOSED

Can you provide a minimal working example of the problem?
If we can't see the data that causes the issue it isn't going to be easy to fix it.

from polars.

Can you provide a minimal working example of the problem? If we can't see the data that causes the issue it isn't going to be easy to fix it.
try:
json_files = [pos_json for pos_json in os.listdir(path_to_json) if pos_json.endswith('.json')]
except FileNotFoundError as fnf:
print(fnf)
for json_file in json_files:
print(json_file)
f = open(os.path.join(path_to_json, json_file),"r", encoding="utf-8")
jsondata = json.load(f)
data = pl.DataFrame(jsondata)
df_info = remove_struct_columns(data, remove_keys)
layer = 1
while any([x==pl.Struct for x in df_info.values()]):
print(f"Json columns in layer {layer}: ", [col_name for col_name,dtype in df_info.items() if dtype==pl.Struct])
try:
data=data.unnest([col_name for col_name,dtype in df_info.items() if dtype==pl.Struct], col_suffix= True)
except Exception as e:
print(e)
df_info = remove_struct_columns(data, remove_keys)
layer += 1
# print(data)
df = pl.concat([df, data], how="diagonal_relaxed")

Here is my code, i read many json files to many df with different number of columns, and error catch when i tried to concat 2 df. Error catch on columns with deep nested struct

from polars.

This feels similar to #16536 and #16516. (ShapeError and concatenating dataframes)

from polars.

Do you have structs in your dataframe?

from polars.