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heatmap_.py
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199 lines (156 loc) · 6.52 KB
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import streamlit as st
import pandas as pd
import datetime as dt
def cell_background(val):
"""Creates the CSS code for a cell with a certain value to create a heatmap effect
Args:
val ([int]): the value of the cell
Returns:
[string]: the css code for the cell
"""
try:
v = abs(val)
opacity = 1 if v >100 else v/100
# color = 'green' if val >0 else 'red'
if val > 0 :
color = '193, 57, 43'
elif val < 0:
color = '1, 152, 117'
else:
color = '255,255,173'
except:
# give cells with eg. text or dates a white background
color = '255,255,255'
opacity = 1
return f'background: rgba({color}, {opacity})'
def cell_background_number_of_cases(val,min, middle, max, method):
"""Creates the CSS code for a cell with a certain value to create a heatmap effect
Args:
val ([int]): the value of the cell
Returns:
[string]: the css code for the cell
"""
#try:
opacity = .75
color = "255,255,255"
#print(f"{min =} {middle = } {max = } ")
v = abs(val)
if method == "exponential_two_color":
color1 = [255, 255, 255]
#color_middle = [255, 255, 0]
color2 = [255, 0, 0]
value_table = [ [0,0],
[0.00390625,0.0625], #1/256 - 1/16
[0.0078125, 0.125], # 1/128 - 1/8
[0.015625,0.25], # 1/ 64 2/8
[0.03125,0.375], #1/32 - 3/8
[0.0625,0.50], # 1/16 - 4/8
[0.125,0.625], # 1/8 - 5/8
[0.25,0.75], # 1/4 - 6/8
[0.50,0.875], #1/2 - 7/8 -
[0.75,0.9375], # 3/4 - 15/16
[1,1]] # 1/1 - 8/8
for vt in value_table:
if v >= round(vt[0]*max) :
percent = vt[1]
opacity = 0.75
r_ = color1[0] +( percent*(color2[0]-color1[0]))
g_ = color1[1] +( percent*(color2[1]-color1[1]))
b_ = color1[2] +( percent*(color2[2]-color1[2]))
color = f'{r_},{g_},{b_}'
elif method == "exponential_three_color":
color_min = [0, 255, 0]
color_middle = [255, 255, 0]
color_max = [255, 0, 0]
if v< middle:
color1 = color_min
color2 = color_middle
else:
color1 = color_middle
color2 = color_max
v = abs(val)
value_table = [ [0,0],
[0.00390625,0.0625], #1/256 - 1/16
[0.0078125, 0.125], # 1/128 - 1/8
[0.015625,0.25], # 1/ 64 2/8
[0.03125,0.375], #1/32 - 3/8
[0.0625,0.50], # 1/16 - 4/8
[0.125,0.625], # 1/8 - 5/8
[0.25,0.75], # 1/4 - 6/8
[0.50,0.875], #1/2 - 7/8 -
[0.75,0.9375], # 3/4 - 15/16
[1,1]] # 1/1 - 8/8
for vt in value_table:
if v >= round(vt[0]*max) :
if v< max/2:
percent = vt[1]*2
else:
percent = (vt[1]-0.5)*2
opacity = 0.75
r_ = color1[0] +( percent*(color2[0]-color1[0]))
g_ = color1[1] +( percent*(color2[1]-color1[1]))
b_ = color1[2] +( percent*(color2[2]-color1[2]))
color = f'{r_},{g_},{b_}'
elif method == "min_middle_max":
color_min = [0, 255, 0]
color_middle = [255, 255, 0]
color_max = [255, 0, 0]
if val <= min:
color = f'{color_min[0]},{color_min[1]},{color_min[2]}'
elif val > min and val < middle:
color1=color_min
color2 = color_middle
percent = val/(middle-min)
r_ = color1[0] +( percent*(color2[0]-color1[0]))
g_ = color1[1] +( percent*(color2[1]-color1[1]))
b_ = color1[2] +( percent*(color2[2]-color1[2]))
color = f'{r_},{g_},{b_}'
elif val == middle:
color = f'{color_middle[0]},{color_middle[1]},{color_middle[2]}'
elif val > middle and val < max:
color1 = color_middle
color2 = color_max
percent = (val-middle)/(max-middle)
r_ = color1[0] +( percent*(color2[0]-color1[0]))
g_ = color1[1] +( percent*(color2[1]-color1[1]))
b_ = color1[2] +( percent*(color2[2]-color1[2]))
color = f'{r_},{g_},{b_}'
elif val >= max:
color = f'{color_max[0]},{color_max[1]},{color_max[2]}'
else:
color = "128,128,128"
else:
color = '0,0,255'
opacity = 1
# except:
# # give cells with eg. text or dates a white background
# color = '255,0,255'
# opacity = 1
return f'background: rgba({color}, {opacity})'
def make_legenda(min_waarde, middle_waarde, top_waarde,method):
#stapfracties = [0, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625 , 0.125, 0.25, 0.50, 0.75, 1]
stapfracties = [0, 0.00390625, 0.0078125, 0.015625, 0.03125, 0.0625 , 0.1,0.2,0.3,0.35,0.4,0.45,0.5,0.55,0.6,0.7,0.8,0.9, 1.0,1.2]
stapjes =[]
for i in range(len(stapfracties)):
stapjes.append((stapfracties[i]*top_waarde))
d = {'legenda': stapjes}
df_legenda = pd.DataFrame(data=d)
st.write (df_legenda.style.format(None, na_rep="-").applymap(lambda x: cell_background_number_of_cases(x,min_waarde, middle_waarde, top_waarde, method)).set_precision(2))
def main():
url = "C:\\Users\\rcxsm\\Documents\\pyhton_scripts\\covid19_seir_models\\output\\landelijk_leeftijd_pivot.csv"
df = pd.read_csv(url, delimiter=",", low_memory=False)
#df['pos_test_Date_statistics'] = df['pos_test_Date_statistics'].dt.date
df.rename(columns={"pos_test_Date_statistics": "date"}, inplace=True)
df=df.drop(columns="date")
df=df.fillna(0)
max_waarde = df.max()
#top_waarde = 0.975*max_waarde
min_waarde = 200
middle_waarde = 900
top_waarde = 1600
methods = ["exponential_two_color", "exponential_three_color", "min_middle_max"]
for m in methods:
st.subheader(m)
st.write (df.style.format(None, na_rep="-").applymap(lambda x: cell_background_number_of_cases(x,min_waarde,middle_waarde, top_waarde, m)).set_precision(2))
make_legenda(min_waarde, middle_waarde, top_waarde, m)
main()