I got the following error:
ValueError: Mismatched dtypes found in pd.read_csv/pd.read_table. chromosome
ValueError("invalid literal for int() with base 10: 'X'")
Usually this is due to dask's dtype inference failing, and
may be fixed by specifying dtypes manually by adding:
dtype={'chromosome': 'object'}
After some testing, I was able to ressolve it by adding dtype={'chromosome': 'object'} to the lines 19, 23, 94, 98 in utils.py.
Best,
Monika
I got the following error:
ValueError: Mismatched dtypes found in
pd.read_csv/pd.read_table. chromosomeValueError("invalid literal for int() with base 10: 'X'")
Usually this is due to dask's dtype inference failing, and
may be fixed by specifying dtypes manually by adding:
dtype={'chromosome': 'object'}
After some testing, I was able to ressolve it by adding dtype={'chromosome': 'object'} to the lines 19, 23, 94, 98 in utils.py.
Best,
Monika