I have a pandas data frame, where some string values are "NA". I want to replace these values in a specific column (i.e. the 'strCol' in the example below) using method chaining.
How do I do this? (I googled quite a bit without success even though this should be easy?! ...)
Here is a minimal example:
import pandas as pd
df = pd.DataFrame({'A':[1,2,3,4],
'B':['val1','val2','NA','val3']})
df = (
df
.rename(columns={'A':'intCol', 'B':'strCol'}) # method chain example operation 1
.astype({'intCol':float}) # method chain example operation 2
# .where(df['strCol']=='NA', pd.NA) # how to replace the sting 'NA' here? this does not work ...
)
df
You can try replace instead of where:
df.replace({'strCol':{'NA':pd.NA}})