This lets you create subplots of n rows and 1 column of a metric within a time series.

make_moving_avg_plot.py

def ma_subplots(df, window, title=None):
	fig, ax = plt.subplots(df.shape[1], 1, figsize=(12, 7))
	ax = ax.ravel()
	for i,col in enumerate(df):
		mean = df[col].mean()
		ma = df[col].rolling(window).mean()
		mstd = df[col].rolling(window).std()
		ax[i].plot(df.index, df[col], color='k', label=col)
		ax[i].plot(ma.index, ma, 'b', label='Moving Avg.')
		ax[i].fill_between(mstd.index, ma - 2*mstd, ma + 2*mstd, color='b', alpha=0.2)
		ax[i].hlines(mean, df.index.min(), df.index.max(), linestyle=':')
		ax[i].margins(0)
		ax[i].set_yticks(list(ax[i].get_yticks()) + [mean.round(2)])

		ax[i].legend(loc='best')
		ax[i].grid(linewidth=1, color='lightgray', alpha=0.5)
	if title is not None:
		plt.suptitle(title)
	plt.tight_layout()
	plt.subplots_adjust(top=0.95)
	plt.show()