In [1]:

from math import sqrt

import numpy as np
import pandas as pd

from lets_plot import *
LetsPlot.setup_html()

In [2]:

lon_min, lon_max = -106.65, -93.51
lat_min, lat_max = 0.0, 80.0
num_points = 1000
data = {
    'lon': np.random.uniform(lon_min, lon_max, num_points),
    'lat': np.random.uniform(lat_min, lat_max, num_points),
}

df = pd.DataFrame(data)

In [3]:

df

Out[3]:

	lon	lat
0	-105.034633	78.748055
1	-101.615036	65.380899
2	-98.732629	77.097753
3	-98.301155	45.695936
4	-97.060510	40.132365
...	...	...
995	-101.042225	14.729542
996	-105.197533	53.561185
997	-99.378842	45.659620
998	-104.275221	39.222438
999	-105.415288	49.439561

1000 rows × 2 columns

In [4]:

ggplot(df, aes('lon', 'lat')) + geom_livemap() + geom_hex(binwidth=[2, 2])

Out[4]:

In [7]:

ggplot(df, aes('lon', 'lat')) + geom_livemap(projection = 'conic') + geom_hex(binwidth=[2, 2])

Out[7]:

In [5]:

#dump_plot(_)