panel app

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+COPY . .
+
+CMD ["panel", "serve", "/code/Luftfeuchte.py", "--address", "0.0.0.0", "--port", "7860", "--allow-websocket-origin", "*"]

Luftfeuchte.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Tue Mar 21 11:06:37 2023
+
+@author: BorowyP
+"""
+
+import pandas as pd
+import numpy as np
+import hvplot.pandas # Adds .hvplot and .interactive methods to Pandas dataframes
+import panel as pn # Panel is a simple, flexible and enterprise-ready data app framework
+import holoviews as hv
+
+pn.extension(sizing_mode="stretch_width")
+
+PALETTE = ["#ff6f69", "#ffcc5c", "#88d8b0", ]
+from bokeh.models.formatters import DatetimeTickFormatter
+formatter = DatetimeTickFormatter(months='%b %Y') # wird in .hvplot benötigt für x-achse!
+
+air_hum = pd.read_csv(r'df_air_hum.csv', sep=',',
+                       header=0, 
+                       #skiprows=[1], 
+                       decimal=',', 
+                       na_values=('#-INF', '#NAN'))
+
+air_hum.index = pd.to_datetime(air_hum['Date'], format='%Y.%m.%d %H:%M:%S')
+#air_hum.index.names = ['Date']
+air_hum = air_hum.drop(['Date'], axis=1)
+air_hum['hum'] = air_hum['hum'].astype(np.float64, copy=True, errors='ignore')
+
+air_hum = air_hum.round(1)
+
+
+
+air_date_slider = pn.widgets.DateRangeSlider(name='Date', start=air_hum.index.min(), end=air_hum.index.max())
+Stndrt = pn.widgets.RadioButtonGroup(name='Standort', options=['Glienig', 'Groß Liebitz', 'Krausnick', 'Halbe', 'Spreeau', 'Hangelsberg'],button_type='success')
+air_date_slider
+
+air_hum_inter = air_hum.interactive()
+
+air_hum_inter = (
+    air_hum_inter[
+        (air_hum_inter.Standort == Stndrt) &
+        (air_hum_inter.index >= air_date_slider.param.value_start) &
+        (air_hum_inter.index <= air_date_slider.param.value_end)
+ 
+    ])
+
+def lin_reg_hum(dfx,dfy, date):
+    # Formel für regres-gerade: y= alpha + b * x
+    # https://www.crashkurs-statistik.de/einfache-lineare-regression/
+    
+    lin_df = pd.DataFrame({'Date' : date,
+                           'Luftfeuchte' : dfy,
+                           'x-x.mean' : dfx-dfx.mean(),
+                           'y-y.mean' : dfy-dfy.mean(),
+                           '(x-x.mean) * (y-y.mean)': (dfx-dfx.mean()) * (dfy-dfy.mean()),
+                           '(x-x.mean)²' : (dfx-dfx.mean()) * (dfx-dfx.mean())
+                          })
+    
+    b = lin_df['(x-x.mean) * (y-y.mean)'].sum()/ lin_df['(x-x.mean)²'].sum()
+    
+    alpha = dfy.mean() - b * dfx.mean()
+    
+    lin_df['Lineare Regression'] = round(alpha + b * dfx,2)
+    
+    lin_plot = lin_df.hvplot(x='Date',
+                                    xlabel='Datum',
+                                    title=Stndrt, 
+                                    y=['Luftfeuchte', 'Lineare Regression'],
+                                    ylabel='rel Luftfeuchte [%]', 
+                                    color=PALETTE, 
+                                    line_width=0.5, 
+                                    xformatter=formatter)
+    
+    SQE = ((lin_df['Lineare Regression']-dfy.mean())*(lin_df['Lineare Regression']-dfy.mean())).sum()
+    
+    SQT = (lin_df['y-y.mean'] * lin_df['y-y.mean']).sum()
+    
+    R_Wert = round(SQE/SQT,2)
+    
+    
+    mean = round(dfy.mean(),2)
+    median = dfy.median()
+    maxm = dfy.max()
+    minm = dfy.min()
+    anz = dfy.count()
+    
+    monitor_df = pd.DataFrame({'Standort' :  [Stndrt.value],
+                              'von' : [air_date_slider.value[0]], 
+                               'bis' : [air_date_slider.value[1]],
+                               'Mittelwert' : [mean],
+                               'Median' : [median],
+                               'Maximum' : [maxm],
+                               'Minimum' : [minm],
+                               'Anzahl' : [anz],
+                               'R²' : [R_Wert]
+                              
+                              })
+    
+    return pn.Column(lin_plot, monitor_df)
+
+
+
+def callback_hum(air_hum_inter):
+    y = air_hum_inter.hum
+    x = air_hum_inter['Unnamed: 0']
+    return pn.Column(lin_reg_hum(x,y, air_hum_inter.index))
+
+
+airhumplot = air_hum_inter.pipe(callback_hum)
+
+airhumplot
+
+
+hum_glienig = pd.DataFrame({'Glienig': air_hum.loc[air_hum['Standort'] == 'Glienig']['hum']}, 
+                           index = air_hum.loc[air_hum['Standort'] == 'Glienig'].index)
+hum_grlieb = pd.DataFrame({'Groß Liebitz': air_hum.loc[air_hum['Standort'] == 'Groß Liebitz']['hum']}, 
+                          index = air_hum.loc[air_hum['Standort'] == 'Groß Liebitz'].index)
+hum_halbe = pd.DataFrame({'Halbe' : air_hum.loc[air_hum['Standort'] == 'Halbe']['hum']}, 
+                         index= air_hum.loc[air_hum['Standort'] == 'Halbe'].index)
+hum_hberg = pd.DataFrame({'Hangelsberg' : air_hum.loc[air_hum['Standort'] == 'Hangelsberg']['hum']}, 
+                         index= air_hum.loc[air_hum['Standort'] == 'Hangelsberg'].index)
+hum_kraunick = pd.DataFrame({'Krausnick' : air_hum.loc[air_hum['Standort'] == 'Krausnick']['hum']}, 
+                            index= air_hum.loc[air_hum['Standort'] == 'Krausnick'].index)
+hum_spreeau = pd.DataFrame({'Spreeau' : air_hum.loc[air_hum['Standort'] == 'Spreeau']['hum']}, 
+                           index= air_hum.loc[air_hum['Standort'] == 'Spreeau'].index)
+air_hum_hist = pd.concat([hum_glienig,hum_grlieb,hum_halbe,hum_hberg,hum_kraunick,hum_spreeau])
+
+
+
+
+dfi_hum = air_hum_hist.interactive()
+
+filtered = dfi_hum[
+    (dfi_hum.index >= air_date_slider.param.value_start) &
+    (dfi_hum.index <= air_date_slider.param.value_end)]
+
+plot_air_humhist  = filtered.hvplot(y=['Glienig',
+                                       'Groß Liebitz', 
+                                       'Halbe', 
+                                       'Hangelsberg',
+                                       'Krausnick',
+                                       'Spreeau'],   
+                                    kind='hist', 
+                                    responsive=True, 
+                                    min_height=300, 
+                                    xlabel='rel Luftfeuchte[%]',
+                                    alpha=0.5)
+
+plot_air_humhist
+
+hd_logo = pn.pane.PNG('HD_Logo.png', width=100)
+hd_logo
+
+lfe_logo = pn.pane.PNG('LFE_Logo.png', width=100)
+
+fnr_logo = pn.pane.PNG('fnr_logo.png', width=100)
+
+
+
+sidebar_link_list = pn.pane.HTML(
+    ''' 
+    <div class="bk" style="position: relative; display: block; left: 0px; top: 0px; width: 314px; height: 522px; margin: 0px;"><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 5px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-20230303-multiple-panel.hf.space" target="_blank">Startseite</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 63px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Lufttemperatur" target="_blank">Lufttemperatur</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 121px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Luftfeuchte" target="_blank">Luftfeuchte</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 179px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Niederschlag" target="_blank">Niederschlag</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 237px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Bodentemperatur" target="_blank">Bodentemperatur</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 295px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Bodenfeuchte" target="_blank">Bodenfeuchte</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 353px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Hemisfere" target="_blank">Hemisfere</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 411px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Stahlrahmen" target="_blank">Streufall</a></p></div></div><div class="bk markdown" style="position: absolute; display: block; left: 5px; top: 469px; width: 304px; height: 48px;"><div class="bk bk-clearfix" style="display: inline-block; width: 100%;"><p><a href="https://paulborowy-holzdeko.hf.space/Masseverlust" target="_blank">Masseverlust</a></p></div></div></div>
+        
+    ''')
+
+sidebar_menu = pn.Column(hd_logo,
+                         pn.pane.Markdown("## Menu"),
+                         sidebar_link_list,
+                         lfe_logo,
+                         fnr_logo )
+
+standort_label = pn.pane.Markdown('### Standort')
+
+standort_col = pn.Column(standort_label, Stndrt)
+
+template = pn.template.FastListTemplate(
+    title='Holzdeko Luftfeuchte', 
+    sidebar=[sidebar_menu
+            ], 
+    main=[pn.pane.Markdown("## Relative Luftfeuchte"),
+          standort_col,
+          air_date_slider,         
+          airhumplot.panel(),
+          plot_air_humhist # LUFT         
+    
+         ]
+    ,accent_base_color="#00613a",
+    header_background="#00613a",
+)
+
+
+
+
+template.servable();
+
+#print('fertig!')
+# To launch this dashboard as a web server, we can simply run 
+# cd C:\Users\BorowyP\Desktop\Dashboard-Preasi\soil_air\
+# panel serve 20230303_air_hum_docker.ipynb --autoreload
+

requirements.txt

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+panel
+hvplot
+numpy
+pandas
+holoviews
+bokeh
+openpyxl
+matplotlib
+xarray