import pandas as pd
from pandas import DataFrame, Series
pd.options.display.max_rows = 10
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
plt.style.use('seaborn')
Make a noisy time series.
lin = np.linspace(-1, 1, 100)
noise = np.random.normal(0, 0.5, 100)
signal = Series(lin + noise)
signal.plot()
plt.show()
Plot the mean for a rolling window containing 10 measurements.
signal.rolling(10).mean().plot()
plt.show()
The first 9 measurements are NaN
.
signal.rolling(10).mean().head(10)