Michael mc51

## get_alex_location.py
def get_alexa_location():
    API_URL =  "https://api.eu.amazonalexa.com/v1/devices/{}/settings" \
           "/address".format(context.System.device.deviceId)
    TOKEN =  context.System.user.permissions.consentToken # check if not empty! fall back
    API_HEADER = {'Accept': 'application/json',
             'Authorization': 'Bearer {}'.format(TOKEN)}

    r = requests.get(API_URL, headers=API_HEADER)
    if r.status_code == 200:
        return(r.json())

## bokeh_choropleth_kvb_bike_density.py
import pandas as pd
import fiona
import numpy as np
from bokeh.io import show, output_file
from bokeh.models import ColumnDataSource, HoverTool, LogColorMapper
from bokeh.plotting import figure, save
from shapely.geometry import Polygon, Point, MultiPoint, MultiPolygon
from shapely.prepared import prep

""" from: https://www.offenedaten-koeln.de/dataset/59a8a033-5ac8-4240-ab06-608a7f542472/resource/a677cd63-d887-4f0f-95cf-25781641e576

## bokeh_dynamic_choropleth_kvb_bike_density.py

# coding: utf-8

# In[10]:
import pandas as pd
import fiona
import numpy as np
from bokeh.io import show, output_file
from bokeh.models import ColumnDataSource, HoverTool, LogColorMapper
from bokeh.palettes import Reds6 as palette

## bokeh_slider_add_circles.py

# coding: utf-8

# In[1]:

from bokeh.io import output_file, output_notebook, show
from bokeh.models import (
  GMapPlot, GMapOptions, ColumnDataSource, Circle, LogColorMapper, BasicTicker, ColorBar,
    DataRange1d, PanTool, WheelZoomTool, BoxSelectTool, CustomJS, Slider, Toggle
)

## kvb_part3_descriptives.ipynb

      
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                mc51
                / kvb_part3_descriptives.ipynb
            
            
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              April 2, 2018 10:36
            
              
                Descriptive statistics and visualization of the Cologne Rental Bike location data
              
          
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## bokeh_test.ipynb

      
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                mc51
                / bokeh_test.ipynb
            
            
              Created
              July 11, 2019 22:08
            
              
                Bokeh Test plot
              
          
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## 01_RCT_InferenceMethods_Simulation.ipynb

      
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                mc51
                / 01_RCT_InferenceMethods_Simulation.ipynb
            
            
              Created
              August 9, 2020 18:29
            
          
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	def get_alexa_location():
	API_URL = "https://api.eu.amazonalexa.com/v1/devices/{}/settings" \
	"/address".format(context.System.device.deviceId)
	TOKEN = context.System.user.permissions.consentToken # check if not empty! fall back
	API_HEADER = {'Accept': 'application/json',
	'Authorization': 'Bearer {}'.format(TOKEN)}

	r = requests.get(API_URL, headers=API_HEADER)
	if r.status_code == 200:
	return(r.json())
	import pandas as pd
	import fiona
	import numpy as np
	from bokeh.io import show, output_file
	from bokeh.models import ColumnDataSource, HoverTool, LogColorMapper
	from bokeh.plotting import figure, save
	from shapely.geometry import Polygon, Point, MultiPoint, MultiPolygon
	from shapely.prepared import prep

	""" from: https://www.offenedaten-koeln.de/dataset/59a8a033-5ac8-4240-ab06-608a7f542472/resource/a677cd63-d887-4f0f-95cf-25781641e576

	# coding: utf-8

	# In[10]:
	import pandas as pd
	import fiona
	import numpy as np
	from bokeh.io import show, output_file
	from bokeh.models import ColumnDataSource, HoverTool, LogColorMapper
	from bokeh.palettes import Reds6 as palette

	# coding: utf-8

	# In[1]:

	from bokeh.io import output_file, output_notebook, show
	from bokeh.models import (
	GMapPlot, GMapOptions, ColumnDataSource, Circle, LogColorMapper, BasicTicker, ColorBar,
	DataRange1d, PanTool, WheelZoomTool, BoxSelectTool, CustomJS, Slider, Toggle
	)