Numpy Rolling mean window

[Thunberd]

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Graph = pd.read_csv(file)       Pl = Graph.dropna()                 fig = plt.figure()     ax1 = fig.add_subplot(1, 1, 1)     df2 = Pl.filter(regex= 'Mean')     col = df2.loc[: , "Mean1":"Mean14"]     col2 = df2.loc[: , "Mean1":"Mean14"]     Pl['Average'] = col.mean(axis=1)     Pl['Moving'] = col2.rolling(2).mean(axis=1)       df2.plot(ax = ax1)     df3 = Pl.filter(like= 'Aver')     df4 = Pl.filter(like= 'Moving')

I then go on to plot df3 and df4 on a twinx()

When I do this It gives me the error
"UnsupportedFunctionCall: numpy operations are not valid with window objects. Use .rolling(...).mean() instead " So obviously the rolling mean isnt going to work with df4 but How can I fix this? Thanks a bunch in Advance!

[Larz60+]

You should always show the actual and complete, unmodified error traceback as it contains valuable information/