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main_page_test_b.py
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main_page_test_b.py
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import folium
import streamlit as st
import pandas as pd
import numpy as np
from streamlit_folium import st_folium
from branca.colormap import LinearColormap
import json
import geojson
from pandas_geojson import to_geojson
st.header('Visualization of California water testing Data over the last 100 years')
st.image('number_of_testing_stations_over_100_years.png')
st.header('Visualization of California water testing Data over the last 100 years')
st.image('Number of types of tests over the last 100 years.png')
df_grouped1903=pd.read_csv(r"df_grouped1903",index_col=False)
df_grouped1914=pd.read_csv(r"df_grouped1914",index_col=False)
df_grouped1924=pd.read_csv(r"df_grouped1924",index_col=False)
df_grouped1934=pd.read_csv(r"df_grouped1934",index_col=False)
df_grouped1944=pd.read_csv(r"df_grouped1944",index_col=False)
df_grouped1954=pd.read_csv(r"df_grouped1954",index_col=False)
df_grouped1964=pd.read_csv(r"df_grouped1964",index_col=False)
df_grouped1974=pd.read_csv(r"df_grouped1974",index_col=False)
df_grouped1984=pd.read_csv(r"df_grouped1984",index_col=False)
df_grouped1994=pd.read_csv(r"df_grouped1994",index_col=False)
df_grouped2004=pd.read_csv(r"df_grouped2004",index_col=False)
df_grouped2014=pd.read_csv(r"df_grouped2014",index_col=False)
map1903_dict =df_grouped1903.set_index("COUNTY_NAME")["counts"].to_dict()
map1914_dict =df_grouped1914.set_index("COUNTY_NAME")["counts"].to_dict()
map1924_dict =df_grouped1924.set_index("COUNTY_NAME")["counts"].to_dict()
map1934_dict =df_grouped1934.set_index("COUNTY_NAME")["counts"].to_dict()
map1944_dict =df_grouped1944.set_index("COUNTY_NAME")["counts"].to_dict()
map1954_dict =df_grouped1954.set_index("COUNTY_NAME")["counts"].to_dict()
map1964_dict =df_grouped1964.set_index("COUNTY_NAME")["counts"].to_dict()
map1974_dict =df_grouped1974.set_index("COUNTY_NAME")["counts"].to_dict()
map1984_dict =df_grouped1984.set_index("COUNTY_NAME")["counts"].to_dict()
map1994_dict =df_grouped1994.set_index("COUNTY_NAME")["counts"].to_dict()
map2004_dict =df_grouped2004.set_index("COUNTY_NAME")["counts"].to_dict()
map2014_dict =df_grouped2014.set_index("COUNTY_NAME")["counts"].to_dict()
geo_json = to_geojson(df=df_grouped1903, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsona = to_geojson(df=df_grouped1914, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonb = to_geojson(df=df_grouped1924, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonc = to_geojson(df=df_grouped1934, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsond = to_geojson(df=df_grouped1944, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsone = to_geojson(df=df_grouped1954, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonf = to_geojson(df=df_grouped1964, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsong = to_geojson(df=df_grouped1974, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonh = to_geojson(df=df_grouped1984, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsoni = to_geojson(df=df_grouped1994, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonj = to_geojson(df=df_grouped2004, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
geo_jsonk = to_geojson(df=df_grouped2014, lat='latitude', lon='longitude',
properties=['COUNTY_NAME','counts'])
us_counties = (
"https://raw.githubusercontent.com/oohtmeel1/ColoradoBoulderVisalizations/main/California_County_Boundaries.json"
)
style_function = lambda x: {'fillColor': '#ffffff',
'color':'#000000',
'fillOpacity': 0.0,
'weight': 0.0}
highlight_function = lambda x: {'fillColor': '#000000',
'color':'#000000',
'fillOpacity': 0.00,
'weight': 0.0}
color_scale = LinearColormap(['green','blue'], vmin = min(map1903_dict.values()), vmax = max(map1903_dict.values()))
def get_color(feature):
value = map1903_dict.get(feature['properties']['COUNTY_NAME'])
if value is None:
return '#626262'
else:
return color_scale(value)
m = folium.Map(location=(38.5816,-120.4944),
max_bounds=True, zoom_start=6,zoom_control= True ,dragging = True, scrollWheelZoom=True)
folium.GeoJson(
data = us_counties,
style_function = lambda feature: {
'fillColor': get_color(feature),
'fillOpacity': 0.7,
'color' : 'black',
'weight' : 1,
}
).add_to(m)
NIL = folium.features.GeoJson(
us_counties,
style_function=style_function,
control=False,
highlight_function=highlight_function,
tooltip=folium.features.GeoJsonTooltip(
fields=['COUNTY_NAME' ],
aliases = ["County Name "], # use fields from the json file
style=("background-color: white; color: #333333; font-family: arial; font-size: 12px; padding: 10px;")
)
).add_to(m)
m.add_child(NIL)
FIL = folium.features.GeoJson(
geo_json,
style_function=style_function,
control=False,
highlight_function=highlight_function,
tooltip=folium.features.GeoJsonTooltip(
fields=['COUNTY_NAME'
,'counts'],
aliases = ["County Name"
,'number of stations'], # use fields from the json file
style=("background-color: white; color: #333333; font-family: arial; font-size: 12px; padding: 10px;")
)
)
m.add_child(FIL)
m.keep_in_front(FIL)
m.add_child(folium.LayerControl())
color_scale.caption = "Number of stations per county"
color_scale.add_to(m)
####
####
color_scalea = LinearColormap(['green','blue'], vmin = min(map1914_dict.values()), vmax = max(map1914_dict.values()))
def get_color(feature):
value = map1914_dict.get(feature['properties']['COUNTY_NAME'])
if value is None:
return '#626262'
else:
return color_scalea(value)
m1 = folium.Map(location=(38.5816,-120.4944),
max_bounds=True, zoom_start=6,zoom_control= True ,dragging = True, scrollWheelZoom=True)
folium.GeoJson(
data = us_counties,
style_function = lambda feature: {
'fillColor': get_color(feature),
'fillOpacity': 0.7,
'color' : 'black',
'weight' : 1,
}
).add_to(m1)
NIL = folium.features.GeoJson(
us_counties,
style_function=style_function,
control=False,
highlight_function=highlight_function,
tooltip=folium.features.GeoJsonTooltip(
fields=['COUNTY_NAME' ],
aliases = ["County Name "], # use fields from the json file
style=("background-color: white; color: #333333; font-family: arial; font-size: 12px; padding: 10px;")
)
).add_to(m1)
m1.add_child(NIL)
A = folium.features.GeoJson(
geo_jsona,
style_function=style_function,
control=True,
highlight_function=highlight_function,
tooltip=folium.features.GeoJsonTooltip(
fields=['COUNTY_NAME'
,'counts'],
aliases = ["County Name"
,'number of stations'], # use fields from the json file
style=("background-color: white; color: #333333; font-family: arial; font-size: 12px; padding: 10px;")
)
)
m1.add_child(A)
m1.add_child(folium.LayerControl())
color_scalea.caption = "Number of stations per county"
color_scalea.add_to(m1)
dicts = {"1903-1913":m,}
years = st.sidebar.selectbox("Please pick a year range",
("1903-1913","1914-1923"))
if years =="1903-1913":
st_data = st_folium(m, width=500)
st.sidebar.bar_chart(data=df_grouped1903, x='COUNTY_NAME', y='counts', width=0, height=0, use_container_width=True)
if years =="1914-1923":
st_data = st_folium(m1, width=500)