def export_kenya_constituencies_map(constituency_frequencies, file_path):
"""
Exports a choropleth map of Kenya's constituencies, with each constituency shaded according to the given frequency
for each constituency.
:param constituency_frequencies: Dictionary of Kenya constituency code -> frequency count
:type constituency_frequencies: dict of str -> int
:param file_path: Path to write the generated map to.
:type file_path: str
"""
constituencies_map = mapping_utils.get_standard_geodata("kenya", "constituencies")
lakes_map = mapping_utils.get_standard_geodata("kenya", "lakes")
lakes_map = lakes_map[lakes_map.LAKE_AVF.isin({"lake_turkana", "lake_victoria"})]
fig, ax = plt.subplots()
# Draw the base map
mapping_utils.plot_frequency_map(constituencies_map, "ADM2_AVF", constituency_frequencies, ax=ax)
# Draw a zoomed inset map of Nairobi because the constituencies here are really small
mapping_utils.plot_inset_frequency_map(
constituencies_map, "ADM2_AVF", constituency_frequencies,
inset_region=(36.62, -1.46, 37.12, -1.09), zoom=3, inset_position=(35.60, -2.95), ax=ax
)
# Draw Kenya's lakes
mapping_utils.plot_water_bodies(lakes_map, ax=ax)
plt.savefig(file_path, dpi=1200, bbox_inches="tight")
plt.close()
def export_kenya_counties_map(county_frequencies, file_path):
"""
Exports a choropleth map of Kenya's counties, with each county shaded and labelled according to the given frequency
for each county.
:param county_frequencies: Dictionary of Kenya county code -> frequency count
:type county_frequencies: dict of str -> int
:param file_path: Path to write the generated map to.
:type file_path: str
"""
counties_map = mapping_utils.get_standard_geodata("kenya", "counties")
lakes_map = mapping_utils.get_standard_geodata("kenya", "lakes")
lakes_map = lakes_map[lakes_map.LAKE_AVF.isin({"lake_turkana", "lake_victoria"})]
fig, ax = plt.subplots()
# Draw the base map
mapping_utils.plot_frequency_map(counties_map, "ADM1_AVF", county_frequencies, ax=ax,
# labels=labels, TODO: Find out what this is
label_position_columns=("ADM1_LX", "ADM1_LY"),
callout_position_columns=("ADM1_CALLX", "ADM1_CALLY"))
# Draw Kenya's lakes
mapping_utils.plot_water_bodies(lakes_map, ax=ax)
plt.savefig(file_path, dpi=1200, bbox_inches="tight")
plt.close()
def test_export_kenya_counties_frequencies_map(self):
counties = mapping_utils.get_standard_geodata("kenya", "counties")["ADM1_AVF"]
frequencies = self.generate_distributions(counties)
file_path = path.join(self.test_dir, "counties.png")
kenya_mapper.export_kenya_counties_map(frequencies, file_path)
self.assertIsNone(compare_images(file_path, "tests/analysis/mapping/resources/kenya/counties.png", _IMAGE_TOLERANCE))
def test_export_mogadishu_sub_district_frequencies_map(self):
regions = mapping_utils.get_standard_geodata(
"somalia", "mogadishu_sub_districts")["ADM3_AVF"]
frequencies = self.generate_distributions(regions)
file_path = path.join(self.test_dir, "mogadishu_sub_districts.png")
somalia_mapper.export_mogadishu_sub_district_frequencies_map(
frequencies, file_path)
self.assertIsNone(
compare_images(
file_path,
"tests/analysis/mapping/resources/somalia/mogadishu_sub_districts.png",
_IMAGE_TOLERANCE))
def export_somalia_district_frequencies_map(district_frequencies, file_path):
"""
Exports a choropleth map of Somalia's regions, with each region shaded and labelled according to the given
frequency for each region.
:param district_frequencies: Dictionary of Somalia district code -> frequency count
:type district_frequencies: dict of str -> int
:param file_path: Path to write the generated map to.
:type file_path: str
"""
districts_map = mapping_utils.get_standard_geodata("somalia", "districts")
fig, ax = plt.subplots()
mapping_utils.plot_frequency_map(districts_map,
"ADM2_AVF",
district_frequencies,
ax=ax)
plt.savefig(file_path, dpi=1200, bbox_inches="tight")
plt.close()
def export_somalia_region_frequencies_map(region_frequencies, file_path):
"""
Exports a choropleth map of Somalia's regions, with each region shaded and labelled according to the given
frequency for each region.
:param region_frequencies: Dictionary of Somalia region code -> frequency count
:type region_frequencies: dict of str -> int
:param file_path: Path to write the generated map to.
:type file_path: str
"""
regions_map = mapping_utils.get_standard_geodata("somalia", "regions")
fig, ax = plt.subplots()
mapping_utils.plot_frequency_map(regions_map,
"ADM1_AVF",
region_frequencies,
label_position_columns=("ADM1_LX",
"ADM1_LY"),
callout_position_columns=("ADM1_CALLX",
"ADM1_CALLY"),
ax=ax)
plt.savefig(file_path, dpi=1200, bbox_inches="tight")
plt.close()
