CODEWITHSUNDEEP
pythoninteger
maria task
maria task

Reputation: 3

float object cannot be interpreted as an integer

# Convert array to float and rescale to voltage.
# Assume 3.3V / 12bits
# (we need calibration data to do a better job on this)
data = data.astype(np.float32) * (3.3 / 2**12)
if downsample > 1:  # if downsampling is requested, average N samples together
    data = data.reshape(num/downsample,downsample).mean(axis=1)
    num = data.shape[0]
    return np.linspace(0, (num-1)*1e-6*downsample, num), data, rate
else:
    return np.linspace(0, (num-1)*1e-6, num), data, rate`

In this part: data = data.reshape(num/downsample,downsample).mean(axis=1), I'm getting this error:

float object cannot be interpreted as an integer

Upvotes: 0

Views: 467

Answers (1)

Akaisteph7
Akaisteph7

Reputation: 6534

The / sign in Python3 equates to floating point division or "true" division. So the result will always be a float.

There are two ways you can fix this. However, you should first make sure that your data can be cleanly divided (without a decimal portion) into num*downsample or this will still cause an error:

data = data.reshape(num//downsample,downsample).mean(axis=1)

or:

data = data.reshape(int(num/downsample),downsample).mean(axis=1)

Both versions get the floored version of the resulting number. So you want to be sure that the number acquired through num/downsample is something like "x.0" for reshape to not complain.

Upvotes: 1

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