def test_float_image():
m = folium.Map([45., 3.], zoom_start=4)
url = 'https://raw.githubusercontent.com/SECOORA/static_assets/master/maps/img/rose.png'
szt = plugins.FloatImage(url, bottom=60, left=70)
m.add_child(szt)
m._repr_html_()
out = m._parent.render()
# Verify that the div has been created.
tmpl = Template("""
<img id="{{this.get_name()}}" alt="float_image"
src="https://raw.githubusercontent.com/SECOORA/static_assets/master/maps/img/rose.png"
style="z-index: 999999">
</img>
""")
assert ''.join(tmpl.render(this=szt).split()) in ''.join(out.split())
# Verify that the style has been created.
tmpl = Template("""
<style>
#{{this.get_name()}} {
position:absolute;
bottom:60%;
left:70%;
}
</style>
""")
assert ''.join(tmpl.render(this=szt).split()) in ''.join(out.split())
bounds = m.get_bounds()
assert bounds == [[None, None], [None, None]], bounds
'Establecimiento Sin Atención Covid-19',
[['Nombre', 'nombre_establecimiento'], ['Tipo', 'tipo'],
['Nivel', 'nivel'], ['Subsector', 'subsector'],
['Dependencia', 'dependencia'], ['Número', 'numero_contacto']],
'#c9d7bf', 7)
draw_points(pd.read_csv('data/farmacias.csv'), 'Farmacia',
[['Nombre', 'nombre_farmacia'], ['Número', 'numero_contacto']],
'#b8a7ea', 6)
draw_points(pd.read_csv('data/laboratorios.csv'), 'Laboratorio',
[['Nombre', 'nombre_laboratorio'], ['Subsector', 'subsector'],
['Número', 'numero_contacto'], ['Método de Prueba', 'metodo']],
'#b7e0dc', 7)
draw_points(pd.read_csv('data/medicina_tradicional.csv'),
'Medicina Tradicional',
[['Nombre', 'nombre_proveedor'], ['Número', 'numero_contacto']],
'#d1a0bd', 6)
plugins.LocateControl(
drawCircle=False,
drawMarker=False,
setView='once',
initialZoomLevel=17,
strings={
'title': 'Ir a mi ubicación',
'popup': "Estás a {distance} metros de este punto"
},
).add_to(folium_map)
plugins.FloatImage('leyenda.png', bottom=2, left=2).add_to(folium_map)
folium_map.save('docs/index.html')
#df_traffic = pd.read_csv('../input/ukTrafficAADF.csv')
# df_acc = pd.read_csv('accidents_2005_to_2007.csv', dtype=object)
t_list = ["Stamen Terrain", "Stamen Toner", "MapQuest Open Aerial"]
tea_map = folium.Map(location=[6.957236, 80.618474],
tiles=t_list[0],
zoom_start=13)
# Adds tool to the top right
tea_map.add_child(plugins.MeasureControl())
# Add logo or image
img_path = ('sheflogo.png')
plugins.FloatImage(img_path, bottom=5, left=5).add_to(tea_map)
# for Heat Maps:
# # Ensure you're handing it floats
# df_acc['Latitude'] = df_acc['Latitude'].astype(float)
# df_acc['Longitude'] = df_acc['Longitude'].astype(float)
# # Filter the DF for rows, then columns, then remove NaNs
# heat_df = df_acc[df_acc['Speed_limit']=='30'] # Reducing data size so it runs faster
# heat_df = heat_df[heat_df['Year']=='2007'] # Reducing data size so it runs faster
# heat_df = heat_df[['Latitude', 'Longitude']]
# # drop rows with null values using .dropna():
# # more info: https://www.geeksforgeeks.org/python-pandas-dataframe-dropna/
# heat_df = heat_df.dropna(axis=0, subset=['Latitude','Longitude'])
# # List comprehension to make out list of lists