brights.append(bright)
lons.append(lon)
lats.append(lat)
hover_texts.append(hover_texts)
print(brights[:10])
from plotly.graph_objs import Scattergeo, Layout
from plotly import offline as go
data = [{
'type': 'scattergeo',
'lon': lons,
'lat': lats,
'marker': {
'size': [.04 * bright for bright in brights],
'color': brights,
'colorscale': 'Viridis',
'reversescale': True,
'colorbar': {
'title': 'Brightness'
}
},
}]
my_layout = Layout(title="Australian Fires- January 2020")
fig = {'data': data, 'layout': my_layout}
go.plot(fig, filename='aussie_firesJAN.html')
brights.append(bright)
lons.append(lon)
lats.append(lat)
hover_texts.append(hover_texts)
print(brights[:10])
from plotly.graph_objs import Scattergeo, Layout
from plotly import offline as go
data = [{
'type': 'scattergeo',
'lon': lons,
'lat': lats,
'marker': {
'size': [.04 * bright for bright in brights],
'color': brights,
'colorscale': 'Viridis',
'reversescale': True,
'colorbar': {
'title': 'Brightness'
}
},
}]
my_layout = Layout(title="Australian Fires- November 2019")
fig = {'data': data, 'layout': my_layout}
go.plot(fig, filename='aussie_firesNOV.html')
#######
# Objective: Create a bubble chart that compares three other features
# from the mpg.csv dataset. Fields include: 'mpg', 'cylinders', 'displacement'
# 'horsepower', 'weight', 'acceleration', 'model_year', 'origin', 'name'
#######
# Perform imports here
import pandas as pd
import plotly.offline as go
import plotly.graph_objs as pyo
# Create a DataFrame from the .csv file:
df = pd.read_csv('../data/mpg.csv')
# Create data by choosing fields for x, y and marker size attributes
data = go.Scatter(x=df['displacement'],
y=df['acceleration'],
text=df['name'],
mode='markers',
marker=dict(size=df['weight'] / 400))
# Create a Layout with a title and axis labels
layout = go.Layout(title='My Bubble Solution', hovermode='closest')
figure = go.Figure(data=data, layout=layout)
pyo.plot(figure, filename='bubble-chart-exercise.html')
# Create
mags.append(mag)
lons.append(lon)
lats.append(lat)
hover_texts.append(hover_texts)
print(mags[:10])
from plotly.graph_objs import Scattergeo, Layout
from plotly import offline as go
data = [{
'type': 'scattergeo',
'lon': lons,
'lat': lats,
'marker': {
'size': [5 * mag for mag in mags],
'color': mags,
'colorscale': 'Viridis',
'reversescale': True,
'colorbar': {
'title': 'Magnitude'
}
},
}]
my_layout = Layout(title="Global Earthquakes")
fig = {'data': data, 'layout': my_layout}
go.plot(fig, filename='global_earthquakes.html')