Python error 'numpy.float64' object cannot be interpreted as an integer

Question

I'm using Python3.x. The bricks = [] the data is dataframe single element array which contains number and some negative numbers

for delta in data:
    if delta > 0:
        bricks.extend([1] * delta)
    else:
        bricks.extend([-1] * abs(delta))

The above code throws error, without affecting the outcome how to correct the code which will run without errors

The error here is:

bricks.extend([1] * delta) TypeError: 'numpy.float64' object cannot be interpreted as an integer

Note :Community, before giving negative numbers, marked as duplicate provide a solution and then mark as you wish.

tried this as well another error in that way for delta in int(data): TypeError: only size-1 arrays can be converted to Python scalars — Marx Babu
– Marx Babu, Commented Jan 19, 2018 at 11:24
This doesn't look like pandas to me, unless you can provide some input and expected output. Basically, a minimal reproducible example. — cs95
– cs95, Commented Jan 19, 2018 at 11:25
bricks = dff[dff['bricks'] != 0]['bricks'].values this is passed as data — Marx Babu
– Marx Babu, Commented Jan 19, 2018 at 11:27
That doesn't look very good, as far as good pandas practices goes. Also, I can't understand what you want. Because I don't have your data, and you haven't explained anything. Gosh, and you're defensive about getting downvotes... — cs95
– cs95, Commented Jan 19, 2018 at 11:29

Jutorres · Accepted Answer · 2018-01-19 11:32:14Z

1

I think you should try

    bricks.extend([1. * delta])

Considering that your "delta" is a simple value(numpyFloat or something like that) and you want to extend the list with a list of 1 value.

answered Jan 19, 2018 at 11:32

Jutorres

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1 Comment

Mr. T Over a year ago

There is no point in guessing. I interpret the OP question as data = [2, -2, 3] -> bricks = [1, 1, -1, -1, 1, 1, 1]. But who knows. He hasn't provided a reproducible example.

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