COVID-19 Heatmap Final Code¶

This code was meant to add a legend and a box in the corner explaining where the data is from, it took a few itterations, but the last block of code did what was needed¶

In [2]:

import folium
from folium.plugins import HeatMap
import pandas as pd

# Load data from CSV file
data = pd.read_csv('covid19.csv')

# Create a base map
map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, titles='CartoDB Positron')

# Add heatmap layer to the map
HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), radius=8, max_zoom=13, opacity=2).add_to(map)

# Save the map to an HTML file
map.save('covid19heatmapfinal2.html')

import folium from folium.plugins import HeatMap import pandas as pd # Load data from CSV file data = pd.read_csv('covid19.csv') # Create a base map map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, titles='CartoDB Positron') # Add heatmap layer to the map HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), radius=8, max_zoom=13, opacity=2).add_to(map) # Save the map to an HTML file map.save('covid19heatmapfinal2.html')

In [ ]:

# Cholera Heatmap Final Code

### This code was meant to add a legend and a box in the corner explaining where the data is from, it took a few itterations, but the last block of code did what was needed

# Cholera Heatmap Final Code ### This code was meant to add a legend and a box in the corner explaining where the data is from, it took a few itterations, but the last block of code did what was needed

In [6]:

import folium
from folium.plugins import HeatMap, MiniMap
import pandas as pd

# Load data from CSV file
data = pd.read_csv('covid19.csv')

# Create a base map
map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron')

# Add heatmap layer to the map
HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), "blur": 19, "maxZoom": 13, "minOpacity": 0.99, "opacity": 3, "radius": 15).add_to(map)

# Add a text box or legend to the corner of the map
legend_html = """
<div style="position: fixed;
     bottom: 50px; left: 50px; width: 200px; height: 100px;
     border:2px solid grey; z-index:9999; font-size:14px;
     background-color:white; opacity:0.8;
     padding: 10px;">
     <b>Legend</b><br>
     Some text here<br>
     Another text here<br>
</div>
"""
map.get_root().html.add_child(folium.Element(legend_html))

# Add a minimap to the map
minimap = MiniMap()
map.add_child(minimap)

# Save the map to an HTML file
map.save('isthiscovid.html')

import folium from folium.plugins import HeatMap, MiniMap import pandas as pd # Load data from CSV file data = pd.read_csv('covid19.csv') # Create a base map map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron') # Add heatmap layer to the map HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), "blur": 19, "maxZoom": 13, "minOpacity": 0.99, "opacity": 3, "radius": 15).add_to(map) # Add a text box or legend to the corner of the map legend_html = """

Legend
Some text here
Another text here

""" map.get_root().html.add_child(folium.Element(legend_html)) # Add a minimap to the map minimap = MiniMap() map.add_child(minimap) # Save the map to an HTML file map.save('isthiscovid.html')

  Cell In[6], line 12
    HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), "blur": 19, "maxZoom": 13, "minOpacity": 0.99, "opacity": 3, "radius": 15).add_to(map)
                                                                                                                                            ^
SyntaxError: positional argument follows keyword argument

In [ ]:

import folium
from folium.plugins import HeatMap, MiniMap
from branca.colormap import LinearColormap
import pandas as pd

# Load data from CSV file
data = pd.read_csv('covid19.csv')

# Create a base map
map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron')

# Add heatmap layer to the map
heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), radius=15, max_zoom=13, opacity=3)
heatmap_layer.add_to(map)

# Create a linear color map
color_map = LinearColormap(['green', 'yellow', 'red'], vmin=data['confirmed'].min(), vmax=data['confirmed'].max())

# Add the color bar to the map
color_map.caption = 'Confirmed Cases'
color_map.add_to(map)

# Add a text box or legend to the corner of the map
legend_html = """
<div style="position: fixed;
     bottom: 50px; left: 50px; width: 200px; height: 100px;
     border:2px solid grey; z-index:9999; font-size:14px;
     background-color:white; opacity:0.8;
     padding: 10px;">
     <b>COVID-19 Origin</b><br>
     Data retrieved from Michael Woroby's initial COVID-19 origin study<br>
</div>
"""
map.get_root().html.add_child(folium.Element(legend_html))

# Add a minimap to the map
minimap = MiniMap()
map.add_child(minimap)

# Save the map to an HTML file
map.save('finalcovid.html')

import folium from folium.plugins import HeatMap, MiniMap from branca.colormap import LinearColormap import pandas as pd # Load data from CSV file data = pd.read_csv('covid19.csv') # Create a base map map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron') # Add heatmap layer to the map heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), radius=15, max_zoom=13, opacity=3) heatmap_layer.add_to(map) # Create a linear color map color_map = LinearColormap(['green', 'yellow', 'red'], vmin=data['confirmed'].min(), vmax=data['confirmed'].max()) # Add the color bar to the map color_map.caption = 'Confirmed Cases' color_map.add_to(map) # Add a text box or legend to the corner of the map legend_html = """

COVID-19 Origin
Data retrieved from Michael Woroby's initial COVID-19 origin study

""" map.get_root().html.add_child(folium.Element(legend_html)) # Add a minimap to the map minimap = MiniMap() map.add_child(minimap) # Save the map to an HTML file map.save('finalcovid.html')

In [10]:

import folium
from folium.plugins import HeatMap, MiniMap
from branca.colormap import LinearColormap
import pandas as pd

# Load data from CSV file
data = pd.read_csv('covid19.csv')

# Create a base map
map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron')

# Add heatmap layer to the map
heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), blur: 19, maxZoom: 13, minOpacity: 0.99, opacity: 3, radius: 15)
heatmap_layer.add_to(map)

# Create a custom colormap
colors = ['#C0C0FF', '#008000', '#FFFF00', '#FF0000']
color_map = LinearColormap(colors=colors, vmin=data['confirmed'].min(), vmax=data['confirmed'].max())

# Add the color bar to the map
color_map.caption = 'Confirmed Cases'
color_map.add_to(map)

# Add a text box or legend to the corner of the map
legend_html = """
<div style="position: fixed;
     bottom: 50px; left: 50px; width: 200px; height: 100px;
     border:2px solid grey; z-index:9999; font-size:14px;
     background-color:white; opacity:0.8;
     padding: 10px;">
     <b>Legend</b><br>
     Some text here<br>
     Another text here<br>
</div>
"""
map.get_root().html.add_child(folium.Element(legend_html))

# Add a minimap to the map
minimap = MiniMap()
map.add_child(minimap)

# Save the map to an HTML file
map.save('FinalCovidHeatmap.html')

import folium from folium.plugins import HeatMap, MiniMap from branca.colormap import LinearColormap import pandas as pd # Load data from CSV file data = pd.read_csv('covid19.csv') # Create a base map map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='CartoDB Positron') # Add heatmap layer to the map heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), blur: 19, maxZoom: 13, minOpacity: 0.99, opacity: 3, radius: 15) heatmap_layer.add_to(map) # Create a custom colormap colors = ['#C0C0FF', '#008000', '#FFFF00', '#FF0000'] color_map = LinearColormap(colors=colors, vmin=data['confirmed'].min(), vmax=data['confirmed'].max()) # Add the color bar to the map color_map.caption = 'Confirmed Cases' color_map.add_to(map) # Add a text box or legend to the corner of the map legend_html = """

Legend
Some text here
Another text here

""" map.get_root().html.add_child(folium.Element(legend_html)) # Add a minimap to the map minimap = MiniMap() map.add_child(minimap) # Save the map to an HTML file map.save('FinalCovidHeatmap.html')

  Cell In[10], line 13
    heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), blur: 19, maxZoom: 13, minOpacity: 0.99, opacity: 3, radius: 15)
                                                                                                                                                          ^
SyntaxError: positional argument follows keyword argument

In [21]:

import folium
from folium.plugins import HeatMap, MiniMap
from branca.colormap import LinearColormap
import pandas as pd

# Load data from CSV file
data = pd.read_csv('covid19.csv')

# Create a base map
map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='OpenStreetMap')

# Add heatmap layer to the map
heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), blur=19, max_zoom=13, min_opacity=0.99, opacity=0.3, radius=15)
heatmap_layer.add_to(map)

# Create a custom colormap
colors = ['#C0C0FF', '#008000', '#FFFF00', '#FF0000']
color_map = LinearColormap(colors=colors, vmin=data['confirmed'].min(), vmax=data['confirmed'].max())

# Add the color bar to the map
color_map.caption = 'Confirmed Cases'
color_map.add_to(map)

# Add a text box or legend to the corner of the map
legend_html = """
<div style="position: fixed;
     bottom: 50px; left: 50px; width: 200px; height: 100px;
     border:2px solid grey; z-index:9999; font-size:14px;
     background-color:white; opacity:0.8;
     padding: 10px;">
     <b>COVID-19 Origin</b>
     <br> Data retrieved from Michael Woroby's initial COVID-19 origin study<br>
</div>
"""
map.get_root().html.add_child(folium.Element(legend_html))

# Add a minimap to the map
minimap = MiniMap()
map.add_child(minimap)

# Save the map to an HTML file
map.save('FinalCovidHeatmap.html')

import folium from folium.plugins import HeatMap, MiniMap from branca.colormap import LinearColormap import pandas as pd # Load data from CSV file data = pd.read_csv('covid19.csv') # Create a base map map = folium.Map(location=[data['latitude'].mean(), data['longitude'].mean()], zoom_start=10, tiles='OpenStreetMap') # Add heatmap layer to the map heatmap_layer = HeatMap(data=data[['latitude', 'longitude', 'confirmed']].groupby(['latitude', 'longitude']).sum().reset_index().values.tolist(), blur=19, max_zoom=13, min_opacity=0.99, opacity=0.3, radius=15) heatmap_layer.add_to(map) # Create a custom colormap colors = ['#C0C0FF', '#008000', '#FFFF00', '#FF0000'] color_map = LinearColormap(colors=colors, vmin=data['confirmed'].min(), vmax=data['confirmed'].max()) # Add the color bar to the map color_map.caption = 'Confirmed Cases' color_map.add_to(map) # Add a text box or legend to the corner of the map legend_html = """

COVID-19 Origin
Data retrieved from Michael Woroby's initial COVID-19 origin study

""" map.get_root().html.add_child(folium.Element(legend_html)) # Add a minimap to the map minimap = MiniMap() map.add_child(minimap) # Save the map to an HTML file map.save('FinalCovidHeatmap.html')

In [ ]:

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Last update: 2023-08-08