Assigning values to a position in a numpy array not modifying the array

Question

how to get exact value when I use array? why the result is array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) but not 0.7?

overlap= np.array([0]*10)
tempi = np.zeros(10)
for i in range(10):
    for j in range(10):
        tempi[j] = 0.7;
    overlap[i] = max(tempi)
    print(max(tempi))

overlap

cs95 · Accepted Answer · 2018-01-28 08:14:40Z

3

overlap was (implicitly) declared as an integer array. As you assign floats to positions in integer arrays, they're truncated (implicitly coerced to integers).

What you'd want to do, is declare overlap to have a dtype of float -

overlap = np.array([0] * 10, dtype=np.float)

Or,

overlap = np.array([0.] * 10)

Running this again, you get what you expect.

answered Jan 28, 2018 at 8:14

cs95

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