This is another error I am getting:-
Unable to parse string "ACTL6AS5" at position 0
What is meant by this error?
ValueError Traceback (most recent call last)
pandas\_libs\lib.pyx in pandas._libs.lib.maybe_convert_numeric()
ValueError: **Unable to parse string "ACTL6AS5"**
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-51-c08b0b717a59> in <module>
----> 1 Combined_data_df["features"] = Combined_data_df ["features"].apply(pd.to_numeric)
I have attempted to fix it like this:-
#Trying to fix error 'unable to parse string 'ACTL6A_S5' at position 0
print (Combined_data_df[pd.to_numeric(Combined_data_df.features, errors='coerce').isnull()])
Is this the right fix?
Thank you!
>Solution :
You can’t convert a string with letters to numeric, but yes you can coerce them to be NaN.