Im having issues removing elements from a range a through b from an array list. The solutions ive searched online seem to only work for individual elements, adjacent elements and or elements that are whole numbers. Im dealing with float numbers.
self.genx = np.arange(0, 5, 0.1)
temp_select = self.genx[1:3] #I want to remove numbers from 1 - 3 from genx
print(temp_select)
self.genx = list(set(self.genx)-set(temp_select))
print(self.genx)
plt.plot(self.genx,self.geny)
However I get the following in the console and this is because im subtracting floats rather than whole numbers so it literally subtracts rather than removing which is what it would do if dealing with whole numbers:
genx: [ 0.0 , 0.1 , 0.2 , 0.3 , 0.4 , 0.5 , 0.6 , 0.7 , 0.8 , 0.9 , 1.0, 1.1 , 1.2 , 1.3 , 1.4 , 1.5 , 1.6 , 1.7 , 1.8 , 1.9 , 2.0, , 2.1 , 2.2 , 2.3 , 2.4 , 2.5 , 2.6 , 2.7 , 2.8 , 2.9 , 3.0 , 3.1 , 3.2 , 3.3 , 3.4 , 3.5 , 3.6 , 3.7 , 3.8 , 3.9 , 4.0 , 4.1 , 4.2 , 4.3 , 4.4 , 4.5 , 4.6 , 4.7 , 4.8 , 4.9]
temp_select: [ 0.1 0.2]
genx(after subtracted): [0.0, 0.5, 2.0, 3.0, 4.0, 1.5, 1.0, 1.1000000000000001, 0.70000000000000007, 0.90000000000000002, 2.7000000000000002, 0.30000000000000004, 2.9000000000000004, 1.9000000000000001, 3.3000000000000003, 0.40000000000000002, 4.7000000000000002, 3.4000000000000004, 2.2000000000000002, 2.8000000000000003, 1.4000000000000001, 0.60000000000000009, 3.6000000000000001, 1.3, 1.2000000000000002, 4.2999999999999998, 4.2000000000000002, 4.9000000000000004, 3.9000000000000004, 3.8000000000000003, 2.3000000000000003, 4.8000000000000007, 3.2000000000000002, 1.7000000000000002, 2.5, 3.5, 1.8, 4.1000000000000005, 2.4000000000000004, 4.4000000000000004, 1.6000000000000001, 0.80000000000000004, 2.6000000000000001, 4.6000000000000005, 2.1000000000000001, 3.1000000000000001, 3.7000000000000002, 4.5]
[]are used for index based access.self.genx[1:3]means "first and second element ofself.genx". This is totally unrelated to the value store at these indices.