[pd].str.replace() fails if regex=True
not specified
#11
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See https://pandas.pydata.org/docs/reference/api/pandas.Series.str.replace.html -- discovered when working the
Exploring.ipynb
. Seems probably an API change to the Pandas.str.replace()
default behavior?Since the
.replace()
fails to have an affect on values likeBA=
, the subsequent.astype(int)
raises exceptions on relevant values.This change corrects the problem by forcing
regex=True
.