rolling average df
df['pandas_SMA_3'] = df.iloc[:,1].rolling(window=3).mean()rolling average df
df['pandas_SMA_3'] = df.iloc[:,1].rolling(window=3).mean()python moving average pandas
#Creating a 100 day moving average from 'Close Price' column
df['Close Price'].rolling(100).mean()moving average pandas
df['MA'] = df.rolling(window=5).mean()
print(df)
# Value MA
# Date
# 1989-01-02 6.11 NaN
# 1989-01-03 6.08 NaN
# 1989-01-04 6.11 NaN
# 1989-01-05 6.15 NaN
# 1989-01-09 6.25 6.14
# 1989-01-10 6.24 6.17
# 1989-01-11 6.26 6.20
# 1989-01-12 6.23 6.23
# 1989-01-13 6.28 6.25
# 1989-01-16 6.31 6.2712 month movinf average in python for dataframe
start_date = '2015-01-01'
end_date = '2016-12-31'
fig, ax = plt.subplots(figsize=(16,9))
ax.plot(data.loc[start_date:end_date, :].index, data.loc[start_date:end_date, 'MSFT'], label='Price')
ax.plot(long_rolling.loc[start_date:end_date, :].index, long_rolling.loc[start_date:end_date, 'MSFT'], label = '100-days SMA')
ax.plot(short_rolling.loc[start_date:end_date, :].index, short_rolling.loc[start_date:end_date, 'MSFT'], label = '20-days SMA')
ax.legend(loc='best')
ax.set_ylabel('Price in $')
ax.xaxis.set_major_formatter(my_year_month_fmt)Copyright © 2021 Codeinu
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