My program contains many different NumPy arrays, with various data inside each of them. An example of an array is:
x = [5, 'ADC01', Input1, 25000], # Where [TypeID, Type, Input, Counts]
[5, 'ADC01', Input2, 40000]
From separate arrays I can retrieve the value of Type and Input. I then need to say
Counts = x[0,3] where Type = 'ADC01' and Input = 'Input2'
Obviously it would not be wrote like this. For the times that I have only needed to satisfy one condition, I have used:
InstType_ID = int(InstInv_Data[InstInv_Data[:,glo.inv_InstanceName] == Instrument_Type_L][0,glo.inv_TypeID])
Here, it looks in array(InstInv_Data) at the 'InstanceName' column and finds a match to Instrument_Type. It then assigns the 'TypeID' column to InstType_ID. I basically want to add an and statement so it also looks for another matching piece of data in another column.
Edit: I just thought that I could try and do this in two separate steps. Returning both Input and Counts columns where Type-Column = Type. However, I am unsure of how to actually return two columns, instead of a specific one. Something like this:
Intermediate_Counts = (InstDef_Data[InstDef_Data[:,glo.i_Type] == Instrument_Type_L][0,(glo.i_Input, glo.i_Counts])
