I\'d like to replace bad values in a column of a dataframe by NaN\'s.
mydata = {\'x\' : [10, 50, 18, 32, 47, 20], \'y\' : [\'12\', \'11\', \'N/A\', \'13\', \
df.replace('columnvalue',np.NaN,inplace=True)