def test_bqplot_topo_load(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_bqplot_topo_load")
f = 'WorldMap.json'
full = os.path.join(temp, f)
url = "https://raw.githubusercontent.com/bloomberg/bqplot/master/bqplot/map_data/"
get_url_content_timeout(url + f, output=full)
r = topo_load(full)
assert r
if not isinstance(r, dict):
raise TypeError(type(r))
def test_bqplot_topo_load(self):
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_bqplot_topo_load")
f = 'WorldMap.json'
full = os.path.join(temp, f)
url = "https://raw.githubusercontent.com/bloomberg/bqplot/master/bqplot/map_data/"
get_url_content_timeout(url + f, output=full)
r = topo_load(full)
assert r
if not isinstance(r, dict):
raise TypeError(type(r))
def create_map(self, map_file):
first_year = self.years[0]
first_provincial_income_proportion = self.get_provincial_income_proportion(
first_year)
sc_geo = Mercator(scale_factor=7000, center=(5.5, 53.0))
tooltip = Tooltip(fields=["name"], labels=["province"])
return Map(
map_data=topo_load(map_file),
scales={
"projection": sc_geo,
"color": self.col_scale
},
colors={"default_color": "Grey"},
color=first_provincial_income_proportion,
tooltip=tooltip,
interactions={
"click": "select",
"hover": "tooltip"
},
visible=True,
)
import pandas as pd
import bqplot
import us
names = [
"date", "city", "state", "country", "shape", "duration_seconds",
"duration_reported", "description", "report_date", "latitude", "longitude"
]
fn = "/srv/nbgrader/data/ufo-scrubbed-geocoded-time-standardized.csv",
ufo = pd.read_csv(fn, names=names, parse_dates=["date", "report_date"])
abbr_to_fits = us.states.mapping('abbr', 'fips')
ufo["fips"] = ufo["state"].apply(
lambda a: int(abbr_to_fits.get(str(a).upper(), -1)))
map_styles = {
'scales': {
'projection': bqplot.AlbersUSA(),
'color': bqplot.ColorScale(colors=["red", "blue"])
},
'color': fips_count.to_dict()
}
states_map = bqplot.Map(map_data=bqplot.topo_load('map_data/USStatesMap.json'),
**map_styles)
map_fig = bqplot.Figure(marks=[states_map], title='USA')
"""# Get import"""
from kmdvalg import kommune
from bqplot import pyplot as plt
from bqplot import (Map, Mercator, Orthographic, ColorScale, ColorAxis,
AlbersUSA, topo_load, Tooltip)
import os
"""# Example 1"""
sc_geo = Mercator()
map_mark = Map(scales={'projection': sc_geo})
fig = plt.figure(marks=[map_mark], title='Basic Map Example')
if kommune.check_isnotebook():
display(fig)
"""# Example 2"""
#sc_geo = Mercator()
sc_geo = Orthographic(scale_factor=375, center=[0, 25], rotate=(-50, 0))
map_mark = Map(map_data=topo_load('map_data/WorldMap.json'),
scales={'projection': sc_geo},
colors={
682: 'Green',
356: 'Red',
643: '#0000ff',
'default_color': 'DarkOrange'
})
fig = plt.figure(marks=[map_mark],
fig_color='deepskyblue',
title='Advanced Map Example')
if kommune.check_isnotebook():
display(fig)
"""# Example 3"""
sc_geo = Mercator()
sc_c1 = ColorScale(scheme='YlOrRd')