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()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()12 month movinf average in python for dataframe
# Calculating the long-window simple moving average
long_rolling = data.rolling(window=100).mean()
long_rolling.tail()12 month movinf average in python for dataframe
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
%matplotlib inline
import seaborn as sns
sns.set(style='darkgrid', context='talk', palette='Dark2')
my_year_month_fmt = mdates.DateFormatter('%m/%y')
data = pd.read_pickle('./data.pkl')
data.head(10)Copyright © 2021 Codeinu
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