Daniel Probst daenuprobst

## drugbank.py
import numpy as np
import pandas as pd
import tmap as tm
import scipy.stats as ss
from faerun import Faerun
from rdkit.Chem import AllChem, Descriptors, Descriptors3D
from mhfp.encoder import MHFPEncoder
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from lipinski import lipinski_pass

## dendrogram.py
import tmap as tm
import numpy as np
from scipy.cluster import hierarchy
from matplotlib import pyplot as plt

N = 1000
CFG = tm.LayoutConfiguration()
# This is the most important parameter to tune when changing the
# number of nodes. More nodes -> smaller number
CFG.node_size = 1 / 10

## christmas_holidays_per_canton.csv

          
            canton
            to_date
            from_date

            
              AG
              2021-01-03
              2020-12-19

            
              AR
              2021-01-03
              2020-12-19

            
              AI
              2021-01-03
              2020-12-19

            
              BL
              2021-01-03
              2020-12-19

            
              BS
              2021-01-03
              2020-12-19

            
              BE
              2021-01-10
              2020-12-24

            
              FR
              2021-01-03
              2020-12-19

            
              GE
              2021-01-10
              2020-12-24

            
              GL
              2021-01-10
              2020-12-24

## bag_cases.csv
"geoRegion","datum","entries","sumTotal","timeframe_7d","offset_last7d","sumTotal_last7d","timeframe_14d","offset_last14d","sumTotal_last14d","timeframe_28d","offset_last28d","sumTotal_last28d","timeframe_phase2","offset_Phase2","sumTotal_Phase2","timeframe_phase2b","offset_Phase2b","sumTotal_Phase2b","sum7d","sum14d","mean7d","mean14d","timeframe_all","entries_diff_last_age","pop","inz_entries","inzmean7d","inzmean14d","inzsumTotal","inzsumTotal_last7d","inzsumTotal_last14d","inzsumTotal_last28d","inzsumTotal_Phase2","inzsumTotal_Phase2b","inzsum7d","inzsum14d","sumdelta7d","inzdelta7d","type","type_variant","version","datum_unit","entries_letzter_stand","entries_neu_gemeldet","entries_diff_last"
"CH",2020-02-24,1,1,FALSE,493515,0,FALSE,476732,0,FALSE,431216,0,FALSE,30941,0,FALSE,52684,0,NA,NA,NA,NA,TRUE,1,8606033,0.01,NA,NA,0.01,NA,NA,NA,NA,NA,NA,NA,NA,NA,"COVID19Cases","","2021-01-22_07-45-28","day",1,0,2145
"CH",2020-02-25,1,2,FALSE,493515,0,FALSE,476732,0,FALSE,431216,0,FALSE,30941,0,FALSE,52684,0,NA,NA,

## xmas_holidays_cases_corr.ipynb

      
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                daenuprobst
                / xmas_holidays_cases_corr.ipynb
            
            
              Last active
              January 23, 2021 22:13
            
              
                xmas_holidays_cases_corr.ipynb
              
          
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## autumn_holidays_per_canton.csv

          
            canton
            to_date
            from_date

            
              AG
              2020-10-11
              2020-09-26

            
              AR
              2020-10-18
              2020-10-03

            
              AI
              2020-10-18
              2020-10-03

            
              BL
              2020-10-11
              2020-09-26

            
              BS
              2020-10-11
              2020-09-26

            
              BE
              2020-10-11
              2020-09-19

            
              FR
              2020-11-01
              2020-10-17

            
              GE
              2020-10-25
              2020-10-17

            
              GL
              2020-10-18
              2020-10-03

## autumn_holidays_cases_corr.ipynb

      
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                daenuprobst
                / autumn_holidays_cases_corr.ipynb
            
            
              Created
              January 24, 2021 13:21
            
              
                autumn_holidays_cases_corr.ipynb
              
          
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## borders.csv

          
            Rank
            Country or territory
            Total length of land borders (km)
            Total surface area (km2)
            Border/area ratio (km/km2)

            
              1
              Vatican City
              3.2
              0.44
              7.2727273

            
              2
              Monaco
              4.4
              2
              2.2000000

            
              3
              San Marino
              39
              61
              0.6393443

            
              4
              Liechtenstein
              76
              160
              0.4650000

            
              5
              Sint Maarten  (Netherlands)
              10.2
              34
              0.3000000

            
              6
              Andorra
              120.3
              468
              0.2570513

            
              7
              Gibraltar  (United Kingdom)
              1.2
              6
              0.2000000

            
              8
              Saint Martin (France)
              10.2
              54
              0.1888889

            
              9
              Luxembourg
              359
              2586
              0.1388244

## index_subplots.py
import string
from matplotlib.axes import Axes
from matplotlib import rcParams


def index_subplots(
    axs: Axes,
    font_size: float = 20,
    font_weight: str = "bold",
    font_family: str = rcParams["font.family"],

## vaccination_rate.csv

          
            Canton
            Rate
            Cases

            
              AG
              0.65
              698.49

            
              AI
              0.54
              1643.49

            
              AR
              0.59
              1479.16

            
              BE
              0.67
              903.72

            
              BL
              0.68
              907.31

            
              BS
              0.69
              1008.46

            
              FR
              0.66
              675.89

            
              GE
              0.66
              594.26

            
              GL
              0.6
              1045.26
	import numpy as np
	import pandas as pd
	import tmap as tm
	import scipy.stats as ss
	from faerun import Faerun
	from rdkit.Chem import AllChem, Descriptors, Descriptors3D
	from mhfp.encoder import MHFPEncoder
	import matplotlib.pyplot as plt
	from matplotlib.colors import ListedColormap
	from lipinski import lipinski_pass
	import tmap as tm
	import numpy as np
	from scipy.cluster import hierarchy
	from matplotlib import pyplot as plt

	N = 1000
	CFG = tm.LayoutConfiguration()
	# This is the most important parameter to tune when changing the
	# number of nodes. More nodes -> smaller number
	CFG.node_size = 1 / 10
canton	to_date	from_date
AG	2021-01-03	2020-12-19
AR	2021-01-03	2020-12-19
AI	2021-01-03	2020-12-19
BL	2021-01-03	2020-12-19
BS	2021-01-03	2020-12-19
BE	2021-01-10	2020-12-24
FR	2021-01-03	2020-12-19
GE	2021-01-10	2020-12-24
GL	2021-01-10	2020-12-24
	"geoRegion","datum","entries","sumTotal","timeframe_7d","offset_last7d","sumTotal_last7d","timeframe_14d","offset_last14d","sumTotal_last14d","timeframe_28d","offset_last28d","sumTotal_last28d","timeframe_phase2","offset_Phase2","sumTotal_Phase2","timeframe_phase2b","offset_Phase2b","sumTotal_Phase2b","sum7d","sum14d","mean7d","mean14d","timeframe_all","entries_diff_last_age","pop","inz_entries","inzmean7d","inzmean14d","inzsumTotal","inzsumTotal_last7d","inzsumTotal_last14d","inzsumTotal_last28d","inzsumTotal_Phase2","inzsumTotal_Phase2b","inzsum7d","inzsum14d","sumdelta7d","inzdelta7d","type","type_variant","version","datum_unit","entries_letzter_stand","entries_neu_gemeldet","entries_diff_last"
	"CH",2020-02-24,1,1,FALSE,493515,0,FALSE,476732,0,FALSE,431216,0,FALSE,30941,0,FALSE,52684,0,NA,NA,NA,NA,TRUE,1,8606033,0.01,NA,NA,0.01,NA,NA,NA,NA,NA,NA,NA,NA,NA,"COVID19Cases","","2021-01-22_07-45-28","day",1,0,2145
	"CH",2020-02-25,1,2,FALSE,493515,0,FALSE,476732,0,FALSE,431216,0,FALSE,30941,0,FALSE,52684,0,NA,NA,
Rank	Country or territory	Total length of land borders (km)	Total surface area (km2)	Border/area ratio (km/km2)
1	Vatican City	3.2	0.44	7.2727273
2	Monaco	4.4	2	2.2000000
3	San Marino	39	61	0.6393443
4	Liechtenstein	76	160	0.4650000
5	Sint Maarten (Netherlands)	10.2	34	0.3000000
6	Andorra	120.3	468	0.2570513
7	Gibraltar (United Kingdom)	1.2	6	0.2000000
8	Saint Martin (France)	10.2	54	0.1888889
9	Luxembourg	359	2586	0.1388244
	import string
	from matplotlib.axes import Axes
	from matplotlib import rcParams


	def index_subplots(
	axs: Axes,
	font_size: float = 20,
	font_weight: str = "bold",
	font_family: str = rcParams["font.family"],
Canton	Rate	Cases
AG	0.65	698.49
AI	0.54	1643.49
AR	0.59	1479.16
BE	0.67	903.72
BL	0.68	907.31
BS	0.69	1008.46
FR	0.66	675.89
GE	0.66	594.26
GL	0.6	1045.26