numpy - Python - Plot series from array if above a threshold -

first question , novice python user here.

i'm using matplotlib produce line plots of data series numpy array. arrays 170 x 481, there 169 series of 480 data points each (1st column x-axis values, top row header column names).

in data, of values range between 0. , 1. however, many of these series have data values approximating 0. , i'd plot series have peak value in series above threshold.

a simplified example array following:

myarray = [['thickness' 'a' 'b' 'c']  ['0.25' '0.5' '0.2' '0.001']  ['0.5' '0.4' '0.3' '0.002']  ['0.75' '0.3' '0.2' '0.001']] 

manually plotting matplotlib:

plt.plot(myarray[1:,0], myarray[1:,1], label='a') plt.plot(myarray[1:,0], myarray[1:,2], label='b') plt.plot(myarray[1:,0], myarray[1:,3], label='c') plt.xlabel('thickness') plt.ylabel('intensity') plt.legend(loc='upper right') 

result here.

in case i'm interested in plotting a , b, not c. whilst easy manually exclude here, not easy 169 series.

the route i've been trying use for loop numpy.amax() plot slices/series above threshold:

for in myarray[:,1:]:     if np.amax(myarray[1:,i]) > 0.015: #example threshold         plt.plot(myarray[1:,0], myarray[1:,i]) 

using route unfortunately doesn't work, throws indexerror indices in array floats, not int or bool:

indexerror                                traceback (most recent call last) <ipython-input-56-d5338b9231af> in <module>()       1 in myarray[:,1:]: ----> 2     if np.amax(myarray[1:,i]) > 0.015:       3         plt.plot(myarray[1:,0], myarray[1:,i])  indexerror: arrays used indices must of integer (or boolean) type 

my question how go selecting , plotting series of data possesses element above desired threshold (without modifying data in array)?

edit: following @importanceofbeingernest 's answer, requires whole array floats (it turns out inserting header strings array @ earlier time had inadvertently turned float data strings). in case typeerror, keep in mind if encounters that.

you want loop on indizes of array along columns.

for in range(1, myarray.shape[1]):     if np.amax(myarray[1:,i]) > 0.015:          plt.plot(myarray[1:,0], myarray[1:,i])