Question

# 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`

在这一部分：data = data.reshape(num/downsample,downsample).mean(axis=1)中，我遇到此错误：

float object cannot be interpreted as an integer

Answer 1

Python3中的/符号等于浮点除法或“真”除法。因此结果永远是浮点数。

有两种方法可以解决此问题。但是，您首先应该确保可以将您的数据干净地划分为num*downsample（不带小数部分），否则仍然会导致错误：

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

或：

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

两个版本都获得结果编号的底版。因此，您要确保通过num/downsample获得的电话号码类似于“ x.0”，以便reshape不会抱怨。

float对象不能解释为整数

1 个答案: