CODEWITHSUNDEEP
pythonnumpy
asha ganapathy
asha ganapathy

Reputation: 113

Numpy linspace not evenly spaced

I want to generate evenly spaced 50 numbers between 0 to 1

First, I tried with numpy.arange(0,1,0.02), below is the output I got.

[0.   0.02 0.04 0.06 0.08 0.1  0.12 0.14 0.16 0.18 0.2  0.22 0.24 0.26
 0.28 0.3  0.32 0.34 0.36 0.38 0.4  0.42 0.44 0.46 0.48 0.5  0.52 0.54
 0.56 0.58 0.6  0.62 0.64 0.66 0.68 0.7  0.72 0.74 0.76 0.78 0.8  0.82
 0.84 0.86 0.88 0.9  0.92 0.94 0.96 0.98]

But later I saw that the endpoint isn't part of this, so I thought of using linspace time = np.linspace(0,1,50) and the output is

[0.         0.02040816 0.04081633 0.06122449 0.08163265 0.10204082
 0.12244898 0.14285714 0.16326531 0.18367347 0.20408163 0.2244898
 0.24489796 0.26530612 0.28571429 0.30612245 0.32653061 0.34693878
 0.36734694 0.3877551  0.40816327 0.42857143 0.44897959 0.46938776
 0.48979592 0.51020408 0.53061224 0.55102041 0.57142857 0.59183673
 0.6122449  0.63265306 0.65306122 0.67346939 0.69387755 0.71428571
 0.73469388 0.75510204 0.7755102  0.79591837 0.81632653 0.83673469
 0.85714286 0.87755102 0.89795918 0.91836735 0.93877551 0.95918367
 0.97959184 1.        ]

I didn't understand why isn't this evenly spaced because 0.02040816+0.02040816=0.04081632 but in the sequence, it shows 0.04081633, someone please explain. To get the output like arrange I have used np.around

Upvotes: 5

Views: 3796

Answers (2)

Sushil
Sushil

Reputation: 5531

As HansHirse mentioned, it should be np.linspace(0,1,51), because np.linspace does not include the last number.

If you want to achieve the same result using np.arange, then simply use np.arange(0,1.02,0.02). Just add the last number to the 2nd number in np.arange so that the last number that you expect to be printed would also get printed.

Hope that this helps!

Upvotes: 5

campy
campy

Reputation: 86

To achive evenly spaced 50 numbers between 0 to 1 np.linspace(0,1,50) is totally right!

If yo want the same result as np.arange(0,1,0.02) you can use np.linspace(0,0.98,50), because the arange function also stopps at 0.98.

numpy.linspace(0,0.98,50)

array([0.  , 0.02, 0.04, 0.06, 0.08, 0.1 , 0.12, 0.14, 0.16, 0.18, 0.2 ,
       0.22, 0.24, 0.26, 0.28, 0.3 , 0.32, 0.34, 0.36, 0.38, 0.4 , 0.42,
       0.44, 0.46, 0.48, 0.5 , 0.52, 0.54, 0.56, 0.58, 0.6 , 0.62, 0.64,
       0.66, 0.68, 0.7 , 0.72, 0.74, 0.76, 0.78, 0.8 , 0.82, 0.84, 0.86,
       0.88, 0.9 , 0.92, 0.94, 0.96, 0.98])

Upvotes: 0

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