I want to convert negative float values in polars DataFrame，and I use this code: x_origin.select(pl.col(pl.Float64), pl.when(pl.col(pl.Float64)<0).then(np.nan).otherwise(pl.col(pl.Float64))) But it crashed with this: Traceback (most recent call last): File "/home/wangyang1/.local/share/JetBrains/IntelliJIdea2024.3/python/helpers-pro/pydevd_asyncio/pydevd_asyncio_utils.py", line 117, in _exec_async_code result = func() ^^^^^^ File "<input>", line 1, in <module> File "/home/wangyang1/.conda/envs/torchhydro1/lib/python3.11/site-packages/polars/dataframe/frame.py", line 9113, in select return self.lazy().select(*exprs, **named_exprs).collect(_eager=True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/home/wangyang1/.conda/envs/torchhydro1/lib/python3.11/site-packages/polars/lazyframe/frame.py", line 2029, in collect return wrap_df(ldf.collect(callback)) ^^^^^^^^^^^^^^^^^^^^^ polars.exceptions.DuplicateError: the name 'literal' is duplicate It's possible that multiple expressions are returning the same default column name. If this is the case, try renaming the columns with `.alias("new_name")` to avoid duplicate column names. But I don't need to rename these columns. So how to solve my problem? I haven't find answer in documents of polars. Continue reading...
