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# -*- coding: utf-8 -*-
"""
Created on Fri Mar 10 15:10:36 2023
@author: BorowyP
"""
import os
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import hvplot.pandas
import holoviews as hv
from holoviews.operation.timeseries import rolling, rolling_outlier_std
import xarray as xr
import panel as pn
import panel.widgets as pnw
import hvplot.xarray
cwd = os.getcwd()
print(cwd)
print(os.listdir(cwd))
os.chdir('hemi_fotos')
pic_cwd = os.getcwd()
print(pic_cwd)
os.listdir(pic_cwd)
os.chdir(pic_cwd)
#os.listdir()
list_pictures_files = os.listdir()
rgb_list = []
for i in range(len(list_pictures_files)):
im = plt.imread(list_pictures_files[i])
x = np.arange(len(im[0]))
y = np.arange(len(im))
channel = np.arange(3)
im_xr = xr.DataArray(im,coords={'y': y,'x': x,'channel': channel},dims=["y", "x", "channel"])
rgb_list.append(im_xr)
#print(str(list_pictures_files[i]) + ' ' +
# 'y-Achse: ' + ' ' + str(len(im)) + ', ' +
# 'x-Achse: ' + ' ' + str(len(im[0])) + ', ' + 'channel: ' + ' ' + str(len(im[0][0])))
#print(' ')
x = np.arange(len(rgb_list[0][0]))
y = np.arange(len(rgb_list[0]))
channel = np.arange(3)
Stndrt = np.array([
'Krausnick K',
'Glienig K',
'Glienig nK',
'Halbe K',
'Halbe nK',
'Hangelsberg K',
'Hangelsberg nK',
'Spreeau K',
'Spreeau nK',
'Groß Liebitz K',
'Groß Liebitz nK'
])
xar = xr.DataArray(rgb_list,
dims=(
'Standort',
"y",
"x",
"channel")
,
coords={
"x": x,
"y": y,
"channel": channel,
'Standort' : Stndrt,
},
name="rgb")
fisheye = xar.hvplot.rgb(x='x', y='y', bands='channel', data_aspect=1, flip_yaxis=True, xaxis=False, yaxis=None, width=500)
os.chdir(cwd)
df = pd.read_csv(
'Hemisphere_totals_holzdeko.csv' ,
encoding_errors='ignore',
sep=';',
#skiprows=[5,10],
header=0,
decimal=','
)
df['transmission'] = df['transmission'].str.strip('%') # entfernt Character '%'
df['transm_gaps'] = df['transm_gaps'].str.strip('%')
df['openness'] = df['openness'].str.strip('%')
df['openn_gaps'] = df['openn_gaps'].str.strip('%')
df['transmission'] = df['transmission'].replace(',', '.', regex=True) # wandelt , in . um
df['transm_gaps'] = df['transm_gaps'].replace(',', '.', regex=True)
df['openness'] = df['openness'].replace(',', '.', regex=True)
df['openn_gaps'] = df['openn_gaps'].replace(',', '.', regex=True)
df['transmission'] = df['transmission'].astype('float64', copy=False)
df['transm_gaps'] = df['transm_gaps'].astype('float64', copy=False)
df['openness'] = df['openness'].astype('float64', copy=False)
df['openn_gaps'] = df['openn_gaps'].astype('float64', copy=False)
params = pn.widgets.RadioButtonGroup(
name='param',
options=['white',
'black',
'transmission',
'transm_gaps',
'openness',
'openn_gaps'
],
button_type='success')
data_inter = df.interactive()
mean_param = (
data_inter
.groupby(['Standort', 'k_nk']).mean()
)
mean_param_plot = mean_param[params].hvplot(x='Standort', y=params, by='k_nk', kind='bar',
title=params, xlabel='Standort')
param_discription = pd.DataFrame({'white': ['white pixels (sky)'],
'black' : ['black pixels (canopy)'],
'transmission' : ['light transmission in 2D (azimutal equidistant projection of the hemisphere)'],
'transm_gaps' : ['large gaps of transmission'],
'openness' : ['canopy openness in 3D, also called sky view factor (solid angles of the hemisphere)'],
'openn_gaps' : ['large gaps of openness']})
param_discription = param_discription.interactive()
param_discription = param_discription[params].values[0]
os.chdir(cwd)
hd_logo = pn.pane.PNG('HD_Logo.png', width=100)
lfe_logo = pn.pane.PNG('LFE_Logo.png', width=100)
fnr_logo = pn.pane.PNG('fnr_logo.png', width=100)
template = pn.template.FastListTemplate(
title='Auswertung Hemisfere',
sidebar=[hd_logo,
pn.pane.Markdown("## Einstellungen"),
#'Standort',Stndrt,
#'gekalkt/ungekalkt', yaxis,
lfe_logo,
fnr_logo
#'Boden',
#'Gekalkt/ungekalkt', yaxis,
],
main=[pn.pane.Markdown("## Hemisfere"),
fisheye,#.panel(),
#params,
param_discription,
mean_param_plot.panel(),
#accent_base_color="#88d8b0",
#header_background="#88d8b0",
])
template.servable();
print('fertig!')
# To launch this dashboard as a web server, we can simply run
# cd C:\Users\BorowyP\Desktop\Dashboard-Preasi\hemisfer
# panel serve 2023_02_10_hemi_dashboard.ipynb --autoreload
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