I have a data frame as shown below
xvalues TTN_163_2.5_-40 TTN_163_2.7_-40 TTN_163_3.6_-40 TTN_164_2.5_-40 TTN_164_2.7_-40 TTN_164_3.6_-40 TTN_165_2.5_-40 TTN_165_2.7_-40 TTN_165_3.6_-40 ... SSN_TK_494_3.6_25 SSN_TK_495_2.5_25 SSN_TK_495_2.7_25 SSN_TK_495_3.6_25 SSN_TK_496_2.5_25 SSN_TK_496_2.7_25 SSN_TK_496_3.6_25 SSN_TK_497_2.5_25 SSN_TK_497_2.7_25 SSN_TK_497_3.6_25
0 20.0000 -61.8108 -60.7467 -61.2690 -61.3187 -60.6145 -62.4299 -60.9081 -60.9708 -62.1521 ... -60.5789 -59.4253 -59.3370 -60.3021 -58.8514 -59.5084 -60.1859 -59.3707 -59.2634 -60.3649
1 23.0279 -58.7591 -58.5892 -60.0966 -59.3629 -58.9252 -60.5079 -59.2122 -58.9782 -59.8201 ... -58.1437 -58.2882 -57.5285 -58.8597 -57.0275 -57.0760 -58.2602 -57.3496 -57.2893 -58.2955
2 26.5142 -58.4440 -58.6020 -58.9999 -58.5177 -58.5390 -60.0002 -59.0422 -57.9660 -58.9891 ... -57.8725 -56.6429 -56.4921 -58.0213 -56.2320 -56.6878 -57.0597 -56.7142 -56.4213 -57.3176
3 30.5284 -58.6903 -57.3153 -59.9111 -58.3504 -57.9701 -58.9579 -58.2964 -57.5424 -58.7915 ... -57.4577 -56.6278 -56.7579 -57.8980 -55.9219 -55.9924 -57.5018 -56.4913 -56.4998 -57.7484
4 35.1502 -58.2258 -56.8677 -58.8472 -58.0947 -57.5878 -58.6074 -58.4582 -57.5944
you can see column name like xvalues,TTN_163_2.5_-40 ,TTN_163_2.7_-40 etc . I need to select the columns whose name contains the below strings.
SFK_619,FFK_TN_631,FFK_571,TTK_538
The codes which I tried given below.It is not working .May I know where I went wrong
df_psrr_funct.loc[:, df_psrr_funct.columns.str.contains("SFK_619" or "FFK_TN_631" or "FFK_571" or "TTK_538")]
2nd one
df_psrr_funct.loc[:, df_psrr_funct.columns.str.contains("SFK_619" or "FFK_TN_631" or "FFK_571" or "TTK_538")]
Both of the above method I tired failed.Any help is appreciated
