-
-
Save btotr/8934476340b1e5bef2842a67821f2500 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
## | |
## Plotting velocità ascensionale media (VAM) | |
## | |
import pandas as pd | |
import plotly.express as px | |
import tempfile | |
import pathlib | |
def nonNegative(x): | |
if x < 0: | |
x = 0 | |
return x | |
def cycling_vam(s): | |
diff = s.diff(30).apply(nonNegative) | |
VAM = round(diff*60/0.5,0) | |
return(VAM) | |
alts = pd.Series(np.asarray(GC.series(GC.SERIES_ALT))) | |
secs = pd.Series(np.asarray(GC.series(GC.SERIES_SECS))) | |
df = pd.concat([secs,VAMS],axis=1) | |
VAMS = cycling_vam(alts) | |
fig = px.line(df, | |
y=VAMS, x=secs, | |
line_shape="spline", | |
render_mode="svg", | |
title="velocità ascensionale media") | |
# Show in GoldenCheetah | |
tmp = tempfile.NamedTemporaryFile(mode="w+t", prefix="GC_", suffix=".html", delete=False) | |
plotly.offline.plot(fig, auto_open = False, filename=tmp.name) | |
GC.webpage(pathlib.Path(tmp.name).as_uri()) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment