The starting value within the Arange function in NumPy must be greater than the end value, otherwise it will be an empty one-dimensional array

1>>>ImportNumPy as NP2>>> Arr=np.arange (10,0.1)3>>>Print('a=', arr)4A= []5>>> Arr=np.arange (10)6>>>Print('a=', arr)7a= [0 1 2 3 4 5 6 7 8 9]8>>> Arr=np.arange (0,10,0.1)9>>>Print('a=', arr)Tena= [0.   0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1. 1.1 1.2 1.3 1.4 One1.5 1.6 1.7 1.8 1.9 2. 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 A3.3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9 4. 4.1 4.2 4.3 4.4 -4.5 4.6 4.7 4.8 4.9 5. 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9 -6.6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9 7. 7.1 7.2 7.3 7.4 the7.5 7.6 7.7 7.8 7.9 8. 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 -9.9.1 9.2 9.3 9.4 9.5 9.6 9.7 9.8 9.9] ->>> Arr=np.arange (10,1) ->>>Print('a=', arr) +A= [] ->>>

The starting value within the Arange function in NumPy must be greater than the end value, otherwise it will be an empty one-dimensional array

The starting value within the Arange function in NumPy must be greater than the end value, otherwise it will be an empty one-dimensional array