python-numpyGet moving average for Numpy array

import pandas as pd
import numpy as np

data = np.array([1,1,2,3,4,5,3,3,6,6])
d = pd.Series(data)

ma = d.rolling(3).mean()ctrl + cyoutubegithub

`import numpy as np` load Numpy module for Python	`import pandas as pd` load Pandas module
`np.array` declare Numpy array	`pd.Series` create Pandas series
`.rolling(3)` get rolling window object with a specified size (3 elements in our case)	`.mean()` calculates moving average
`ma` will contain Pandas series with moving averages

Usage example

import pandas as pd
import numpy as np

data = np.array([1,1,2,3,4,5,3,3,6,6])
d = pd.Series(data)

print(d.rolling(3).mean())

output

Rolling [window=3,center=False,axis=0,method=single]
0         NaN
1         NaN
2    1.333333
3    2.000000
4    3.000000
5    4.000000
6    4.000000
7    3.666667
8    4.000000
9    5.000000
dtype: float64

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