TypeError: Cannot perform ‘rand_’ with a dtyped [float64] array and scalar of type [bool]

For filtering by multiple conditions chain them by & and filter by boolean indexing:

q1_fisher_r[(q1_fisher_r['TP53']==1) & q1_fisher_r['TumorST'].str.contains(':1:')]
               ^^^^                        ^^^^
           first condition            second condition

Problem is this code returned filtered data, so cannot chain by condition:

q1_fisher_r[(q1_fisher_r['TumorST'].str.contains(':1:'))]

Similar problem:

q1_fisher_r[(q1_fisher_r['TP53']==1)]

Sample:

q1_fisher_r = pd.DataFrame({'TP53':[1,1,2,1], 'TumorST':['5:1:','9:1:','5:1:','6:1']})
print (q1_fisher_r)
   TP53 TumorST
0     1    5:1:
1     1    9:1:
2     2    5:1:
3     1     6:1

df = q1_fisher_r[(q1_fisher_r['TP53']==1) & q1_fisher_r['TumorST'].str.contains(':1:')]
print (df)
   TP53 TumorST
0     1    5:1:
1     1    9:1: