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import folium

import pandas as pd

import streamlit as st

from folium.plugins import HeatMap

from streamlit_folium import st_folium

map = folium.Map(location=[51.521709, -0.212653], zoom_start=13)

def plot_dot(point):

folium.CircleMarker(location=[point.Latitude, point.Longitude],

radius=4,

weight=2,

color='red',

fill= True,

fill_color='red').add_to(map)

st.title('Mapping Potholes')

ret = st.selectbox("Map Type", ('scatter', 'heatmap', 'satellite', 'street view'), index=0)

print(ret)

# Read potholes data from csv.

df_acc = pd.read_csv('test-cv.csv', dtype=object)

data = pd.DataFrame(df_acc, columns=['Latitude', 'Longitude'])

# print(data[0:5])

# print(data)

# Ensure you're handing it floats

df_acc['Latitude'] = df_acc['Latitude'].astype(float)

df_acc['Longitude'] = df_acc['Longitude'].astype(float)

if ret == 'heatmap':

heat_df = df_acc[['Latitude', 'Longitude']]

heat_df = heat_df.dropna(axis=0, subset=['Latitude','Longitude'])

heat_data = [[row['Latitude'],row['Longitude']] for index, row in heat_df.iterrows()]

HeatMap(heat_data).add_to(map)

elif ret == 'scatter':

data.apply(plot_dot, axis=1)

# m.fit_bounds(m.get_bounds())

elif ret == 'satellite':

map = folium.Map(location=[51.521709, -0.212653], zoom_start=13, tiles='Stamen Terrain')

else:

pass

st_data = st_folium(map, height=400, width=1920)