cleanup from old shit

emfit/__main__.py

@@ -1,23 +0,0 @@
-from emfit import get_datas
-
-for e in get_datas():
-    # print("-------")
-    print(f"{e.end} {e.measured_hr_avg} {e.summary}")
-
-
-# TODO get average HR
-# TODO get 'quality', that is amount of time it actually had signal
-
-from kython.plotting import plot_timestamped
-everything = get_datas()
-tss = [e.end for e in everything]
-hrs = [e.measured_hr_avg for e in everything]
-
-plot_timestamped(
-    tss,
-    hrs,
-    ratio=(15, 3),
-    mavgs=[(5, 'blue'), (10, 'green')],
-    marker='.',
-    ylimits=[40, 70],
-   ).savefig('hrs.png')

plot.py

@@ -1,11 +1,3 @@
-#!/usr/bin/env python3
-import matplotlib.dates as md # type: ignore
-import numpy as np # type: ignore
-import seaborn as sns # type: ignore
-import matplotlib.pyplot as plt # type: ignore
-
-from emfit import get_datas
-
 # def stats():
 #     for jj in iter_datas():
 #         # TODO fimezone??
@@ -24,27 +16,10 @@ from emfit import get_datas
 #         print(*res)
 
 
-def plot_hr_trend():
-    everything = get_datas()
-    tss = [e.end for e in everything]
-    hrs = [e.measured_hr_avg for e in everything]
-    plt.figure(figsize=(15,4))
-    ax = sns.pointplot(tss, hrs) # , markers=" ")
-    # TODO wtf is that/??
-    ax.set(ylim=(None, 70))
-
-    plt.show()
-
-# TODO ok, would be nice to have that every morning in timeline
-# also timeline should have dynamic filters? maybe by tags
 # then I could enable emfit feed and slog feed (pulled from all org notes) and see the correlation? also could pull workouts provider (and wlog) -- actually wlog processing could be moved to timeline too
 
-plot_hr_trend()
-
-
 # TODO maybe rmssd should only be computed if we have a reasonable chunk of datas
 
-# plot_timestamped([p[0] for p in pts], [p[1] for p in pts], mavgs=[]).savefig('res.png')
 # TODO X axes: show hours and only two dates
 # TODO 4 is awake, 3 REM, 2 light, 1 deep