Update app.py

app.py

@@ -1,108 +1,88 @@
-import panel as pn
 import pandas as pd
-import hvplot.pandas
+import panel as pn
+import numpy as np
+from bokeh.models.widgets.tables import NumberFormatter, BooleanFormatter
 
 pn.extension("tabulator")
 
-ACCENT="teal"
 
-styles = {
-    "box-shadow": "rgba(50, 50, 93, 0.25) 0px 6px 12px -2px, rgba(0, 0, 0, 0.3) 0px 3px 7px -3px",
-    "border-radius": "4px",
-    "padding": "10px",
-}
+### Beispiel DataFrame
 
-image = pn.pane.JPG("https://assets.holoviz.org/panel/tutorials/wind_turbines_sunset.png")
+df = pd.read_pickle(f"../data/boson/cossims_plural_slicewidth=1.pkl")
+if "boson" in df.index:
+    df = df.drop("boson")
+if "bosons" in df.index:
+    df = df.drop("bosons")
+if "boson_s" in df.index:
+    df = df.drop("boson_s")
 
-# Extract Data
+df["sum"] = df.sum(axis=1)
+df = df.loc[:, 1948:] #1948
+#df = df.fillna(0).round(3)
 
-@pn.cache()  # only download data once
-def get_data():
-    return pd.read_csv("https://assets.holoviz.org/panel/tutorials/turbines.csv.gz")
+df = df.sort_values("sum", ascending=False)
+df = df.head(20)
+df.index.name = "token"
 
-# Transform Data
 
-source_data = get_data()
-min_year = int(source_data["p_year"].min())
-max_year = int(source_data["p_year"].max())
-top_manufacturers = (
-    source_data.groupby("t_manu").p_cap.sum().sort_values().iloc[-10:].index.to_list()
-)
 
-def filter_data(t_manu, year):
-    data = source_data[(source_data.t_manu == t_manu) & (source_data.p_year <= year)]
-    return data
+outpath = "../results/bosons/cossims_plural_bosons.html"
 
-# Filters
+### functionality
 
-t_manu = pn.widgets.Select(
-    name="Manufacturer",
-    value="Vestas",
-    options=sorted(top_manufacturers),
-    description="The name of the manufacturer",
-)
-p_year = pn.widgets.IntSlider(name="Year", value=max_year, start=min_year, end=max_year)
-
-# Transform Data 2
-
-df = pn.rx(filter_data)(t_manu=t_manu, year=p_year)
-count = df.rx.len()
-total_capacity = df.t_cap.sum()
-avg_capacity = df.t_cap.mean()
-avg_rotor_diameter = df.t_rd.mean()
-
-# Plot Data
-
-fig = (
-    df[["p_year", "t_cap"]].groupby("p_year").sum() / 10**6
-).hvplot.bar(
-    title="Capacity Change",
-    rot=90,
-    ylabel="Capacity (GW)",
-    xlabel="Year",
-    xlim=(min_year, max_year),
-    color=ACCENT, 
-)
+#tabulator_formatters = {"token" : {"title": "token", "type" : "textarea"}} # Formatiert die Zellen
+cell_formatters = {col : NumberFormatter(format='0.000') for col in df.columns} # Formatiert die Zellen
+header_filters={'token': {'type': 'input', 'func': 'like', 'placeholder': 'search'}} # Für Suche, etc.
+
+### style
+
+theme = "modern" # 'default', 'site', 'simple', 'midnight', 'modern', 'bootstrap', 'bootstrap4', 'materialize', 'bulma', 'semantic-ui', or 'fast'
+page_size = 50 # Number of rows
+page = 1 # Start on page x
+#configuration={"rowHeight" : 10*24}
+#widths = {'index' : 40} or {'index': '5%'}
+
+#frozen_rows = list
+#frozen_columns = list
 
-# Display Data
-
-indicators = pn.FlexBox(
-    pn.indicators.Number(
-        value=count, name="Count", format="{value:,.0f}", styles=styles
-    ),
-    pn.indicators.Number(
-        value=total_capacity / 1e6,
-        name="Total Capacity (GW)",
-        format="{value:,.1f}",
-        styles=styles,
-    ),
-    pn.indicators.Number(
-        value=avg_capacity/1e3,
-        name="Avg. Capacity (MW)",
-        format="{value:,.1f}",
-        styles=styles,
-    ),
-    pn.indicators.Number(
-        value=avg_rotor_diameter,
-        name="Avg. Rotor Diameter (m)",
-        format="{value:,.1f}",
-        styles=styles,
-    ),
-)
 
-plot = pn.pane.HoloViews(fig, sizing_mode="stretch_both", name="Plot")
-table = pn.widgets.Tabulator(df, sizing_mode="stretch_both", name="Table")
+tabs = pn.widgets.Tabulator(
+    df,
 
-# Layout Data
+    ### functionality
+
+    formatters= cell_formatters, #tabulator_formatters,
+    header_filters = header_filters,
+    selectable="toggle",
+
+    ### style
+
+    theme = theme,
+    page_size = page_size,
+    page = page,
+    frozen_columns = {"token" : "left", "sum" : "right"}, # Must give width, otherwise doesn't work!
+    width=1800,
+    height=950,
+    #frozen_rows = [1],
+    #widths
+    #configuration = configuration,
+
+    
+
+    ### other
+
+    disabled = True # Whether the cells are editable
 
-tabs = pn.Tabs(
-    plot, table, styles=styles, sizing_mode="stretch_width", height=500, margin=10
 )
 
+
+ACCENT = "teal"
+
 pn.template.FastListTemplate(
-    title="Wind Turbine Dashboard",
-    sidebar=[image, t_manu, p_year],
-    main=[pn.Column(indicators, tabs, sizing_mode="stretch_both")],
-    main_layout=None,
+    #title="Wind Turbine Dashboard",
+    #sidebar=[image, t_manu, p_year],
+    #main=[pn.Column(indicators, tabs, sizing_mode="stretch_both")],
+    main=[pn.Column(tabs, sizing_mode="stretch_both")],
+    #main_layout=None,
     accent=ACCENT,
 ).servable()