我在 python pandas 中运行了一个命令，如下所示：
q1_fisher_r[(q1_fisher_r['TP53']==1) & q1_fisher_r[(q1_fisher_r['TumorST'].str.contains(':1:'))]]
我收到以下错误：
TypeError: Cannot perform 'rand_' with a dtyped [float64] array and scalar of type [bool]
我尝试使用的解决方案： 错误链接。
相应地将代码更改为：
q1_fisher_r[(q1_fisher_r['TumorST'].str.contains(':1:')) & (q1_fisher_r[(q1_fisher_r['TP53']==1)])]
但我仍然遇到相同的错误 TypeError: Cannot perform 'rand_' with a dtyped [float64] array and scalar of type [bool]
我有两个数据框：
data = {
'values': ['Cricket', 'Soccer', 'Football', 'Tennis', 'Badminton', 'Chess'],
'gems': ['A1K, A2M, JA3, AN4', 'B1, A1, Bn2, B3', 'CD1, A1', 'KWS, KQM', 'JP, CVK', 'KF, GF']
}
df1 = pd.DataFrame(data)
df1
values gems
0 Cricket A1K, A2M, JA3, AN4
1 Soccer B1, A1, Bn2, B3
2 Football CD1, A1
3 Tennis KWS, KQM
4 Badminton JP, CVK
5 Chess KF, GF
第二个数据框
data2 = {
'1C': ['B1', 'K1', 'A1K', 'J1', 'A4'],
'02C': ['Bn2', 'B3', 'JK', 'ZZ', 'ko'],
'34C': …我有一个数据框如下：
#values
a=["003C", "003P1", "003P1", "003P1", "004C", "004P1", "004P2", "003C", "003P2", "003P1", "003C", "003P1", "003P2", "003C", "003P1", "004C", "004P2", "001C", "001P1"]
b=["chr18", "chr20", "chr8", "chr8", "chr11", "chr11", "chr11", "chr11", "chr11", "chr11", "chr1", "chr1", "chr1", "chr1", "chr1", "chr11", "chr11", "chr9", "chr9"]
c=[48399,145653,244695,244695,1163940,1163940,1163940,5986513,5986513,5986513,248650751,248650751,248650751,125895,125895,2587895,2587895,14587952,14587952]
d=["C", "G", "C", "C", "C", "C", "C", "G", "G", "G", "T", "T", "T", "T", "T", "C", "C", "T", "T"]
e=["A", "T", "A", "A", "G", "G", "G", "A", "A", "A", "A", "A", "A", "A", "A", "G", "G", "C", "C"]
#Make …