pandas comparison raises TypeError: cannot compare a dtyped [float64] array with a scalar of type [bool]

Question

I have the following structure to my dataFrame:

Index: 1008 entries, Trial1.0 to Trial3.84
Data columns (total 5 columns):
CHUNK_NAME                    1008         


        

Answer 1

& has higher precedence than ==. Write:

my_df.ix[(my_df.CHUNK_NAME==chunks[0])&(my_df.LAMBDA==lam_beta[0][0])]
         ^                           ^ ^                            ^