I've multiple columns to format as a float decimal with fixed precision. However, doing with multiple columns at the same time doesn't work. Working on individual columns works. What is the reason and how to resolve the same?
The following works.
def shortenlength(numberToShorten):
limited_float = "{:.15f}".format(numberToShorten)
return limited_float
outputData['col1'] = outputData['col1'].apply(shortenlength)
outputData['col2'] = outputData['col2'].apply(shortenlength)
However, the following doesn't work and throws the error TypeError: unsupported format string passed to Series.format
def shortenlength(numberToShorten):
limited_float = "{:.15f}".format(numberToShorten)
return limited_float
zfill_cols = ['col1', 'col2']
outputData[zfill_cols] = outputData[zfill_cols].apply(shortenlength)
When you do apply on a dataframe, the argument passed to the function is the columns, i.e. the series. Use applymap instead:
outputData[zfill_cols] = outputData[zfill_cols].applymap(shortenlength)
Thanks. Works well.