'np.arange producing elements with many decimals
I have the following loop.
x_array = []
for x in np.arange(0.01, 0.1, 0.01 ):
x_array.append(x)
Why are some of the elements in x_array in so many decimals?
[0.01,
0.02,
0.03,
0.04,
0.05,
0.060000000000000005,
0.06999999999999999,
0.08,
0.09]
Solution 1:[1]
If you want your list of numbers without "additional" digits in the fractional part, try the following code:
x_array = np.arange(0.01, 0.1, 0.01).round(2).tolist()
As you see, you don't even need any explicit loop.
The result is just what you want, i.e.:
[0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09]
Another choice is:
x_array = (np.arange(1, 10) / 100).tolist()
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 |
