I thought this problem is really the basic problem of creating a dashboard. So thought it worth investigating a bit more.
from logging import setLogRecordFactory
import param
import numpy as np
import pandas as pd
import panel as pn
import holoviews as hv
import bokeh
import hvplot.pandas
from holoviews.plotting.util import process_cmap
hv.extension("bokeh")
pn.extension()
pn.config.sizing_mode = "stretch_width"
EMPTY_PLOT = hv.Curve({})
COLOR_MAPS = hv.plotting.util.list_cmaps()
STYLE = """
body {
margin: 0px;
min_height: 100vh;
}
.bk.app-body {
background: #f2f2f2;
color: #000000;
font-family: roboto, sans-serif, Verdana;
}
.bk.app-bar {
background: #212121;
border-color: white;
box-shadow: 5px 5px 20px #9E9E9E;
color: #ffffff;
z-index: 50;
}
.bk.app-container {
background: #ffffff;
border-radius: 5px;
box-shadow: 2px 2px 2px lightgrey;
color: #000000;
}
.bk.app-settings {
background: #e0e0e0;
color: #000000;
}
"""
pn.config.raw_css.append(STYLE)
try:
data_A = pd.read_csv("data_A.csv", index_col=0)
except Exception as e:
data_A = pd.read_csv(
"https://discourse.holoviz.org/uploads/short-url/ceLgCS43UtYgICERGGnBpTxG4UX.csv",
index_col=0,
)
data_A.to_csv("data_A.csv")
try:
data_B = pd.read_csv("data_B.csv", index_col=0)
except Exception as e:
data_B = pd.read_csv(
"https://discourse.holoviz.org/uploads/short-url/mLsBXvpSQTex5rU6RZpzsaxOe5b.csv",
index_col=0,
)
data_B.to_csv("data_B.csv")
Variable = pn.widgets.RadioBoxGroup(
name="Variable",
options=["Cut Distance", "Removed Volume", "Av. uncut chip thickness"],
inline=True,
align="center",
)
# Insert plot
class PempDashoardApp(param.Parameterized):
tool = param.ObjectSelector(label="Tool", default="S1_1", objects=["S1_1", "S2_1"])
variable = param.ObjectSelector(
label="Variable",
default="Cut Distance",
objects=["Cut Distance", "Removed Volume", "Av. uncut chip thickness"],
)
color_map = param.ObjectSelector(default="winter", objects=COLOR_MAPS)
insert_plot_pane = param.ClassSelector(class_=pn.pane.HoloViews)
edge_plot_pane = param.ClassSelector(class_=pn.pane.HoloViews)
history_plot_pane = param.ClassSelector(class_=pn.pane.HoloViews)
view = param.ClassSelector(class_=pn.Column)
def __init__(self, **params):
params["insert_plot_pane"] = pn.pane.HoloViews(EMPTY_PLOT, sizing_mode="stretch_both", margin=10)
params["edge_plot_pane"] = pn.pane.HoloViews(EMPTY_PLOT, sizing_mode="stretch_both", margin=10)
params["history_plot_pane"] = pn.pane.HoloViews(EMPTY_PLOT, sizing_mode="stretch_both", margin=10)
params["view"] = pn.Column(css_classes=["app-body"], sizing_mode="stretch_both", margin=0)
super().__init__(**params)
self._init_view()
self._update_insert_plot()
self._update_edge_plot()
self._update_history_plot()
def _init_view(self):
appbar = pn.Row(
pn.pane.Markdown("# Classic Dashboard in Panel ", margin=(10, 5, 10, 25)),
pn.Spacer(height=0),
pn.pane.PNG(
"https://panel.holoviz.org/_static/logo_horizontal.png",
width=200,
sizing_mode="fixed",
align="center",
margin=(10, 50, 10, 5),
),
css_classes=["app-bar"],
)
settings_bar = pn.Row(
pn.Param(
self,
parameters=["tool", "variable"],
widgets={
"tool": {"align": "center", "width": 75, "sizing_mode": "fixed"},
"variable": {"type": pn.widgets.RadioBoxGroup, "inline": True, "align": "end",},
},
default_layout=pn.Row,
show_name=False,
align="center",
),
pn.Spacer(height=0),
pn.Param(
self,
parameters=["color_map"],
width=200,
align="center",
sizing_mode="fixed",
show_name=False,
margin=(10, 25, 10, 5),
),
sizing_mode="stretch_width",
css_classes=["app-container"],
margin=(50, 25, 25, 25),
)
self.view[:] = [
appbar,
settings_bar,
pn.Row(
pn.Column(self.insert_plot_pane, css_classes=["app-container"], margin=25),
pn.Column(self.edge_plot_pane, css_classes=["app-container"], margin=25),
),
pn.Row(self.history_plot_pane, css_classes=["app-container"], margin=25),
pn.layout.VSpacer(),
pn.layout.VSpacer(),
]
@pn.depends("tool", "variable", "color_map", watch=True)
def _update_insert_plot(self):
plot_data = data_A.loc[self.tool]
data = [(plot_data["Xo"], plot_data["Yo"], plot_data[self.variable])]
self.insert_plot_pane.object = hv.Path(data, vdims=self.variable).opts(
cmap=self.color_map, color=self.variable, line_width=4, colorbar=True
)
@pn.depends("tool", "variable", "color_map", watch=True)
def _update_edge_plot(self):
plot_data = data_A.loc[self.tool]
self.edge_plot_pane.object = plot_data.hvplot(
x="Number", y=self.variable, kind="area", alpha=0.6, color=self.get_color
)
@pn.depends("tool", "color_map", watch=True)
def _update_history_plot(self):
plot_data = data_B.loc[self.tool]
self.history_plot_pane.object = plot_data.hvplot(
x="Cut Distance", y="Feed", kind="line", line_width=4
).opts(color=self.get_color)
@property
def get_color(self):
return process_cmap(self.color_map, 1)[0]
def view():
return PempDashoardApp().view
if __name__.startswith("bokeh"):
view().servable()
else:
view().show(port=5007)
