def plot_scatter(df, xdata, iso_column):
names = set(df["name"].values)
names.discard(None)
names.discard(xdata)
names.discard(iso_column)
df = results.pivot_scalars(df,
index=xdata,
columns=iso_column,
values="value")
renaming = dict()
if iso_column:
for c in list(df.columns):
renaming[c] = iso_column + "=" + str(c)
df = df.reset_index()
renaming[xdata] = "time"
df = df.rename(renaming, axis="columns")
df.dropna(inplace=True)
df["time"] = pd.to_numeric(df["time"])
df.sort_values(by="time", inplace=True)
print(df)
xs = _list_to_bytes(df["time"])
Gateway.chart_plotter.plotVectors(
pl.dumps([{
"title": column,
"key": column,
"xs": xs,
"ys": _list_to_bytes(df[column])
} for column in df if column != "time"]))
return list(names)
def _plot_scalars_DF_scave(df):
_plot_scalars_DF_simple(results.pivot_scalars(df))