python moving average of list
import numpy
def running_mean(x, N):
""" x == an array of data. N == number of samples per average """
cumsum = numpy.cumsum(numpy.insert(x, 0, 0))
return (cumsum[N:] - cumsum[:-N]) / float(N)
val = [-30.45, -2.65, 56.61, 47.13, 47.95, 30.45, 2.65, -28.31, -47.13, -95.89]
print(running_mean(val, 3))
""" [ 7.83666667 33.69666667 50.56333333 41.84333333 27.01666667
1.59666667 -24.26333333 -57.11 ] """moving averages python
# option 1
df['data'].rolling(3).mean()
df['data'].shift(periods=1).rolling(3).mean()
# option 2: compute a 9-day simple moving average with pandas
BTC_USD['SMA_9'] = BTC_USD['Close'].rolling(window=9, min_periods=1).mean()Copyright © 2021 Codeinu
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