FinalExam

In [1]:

import kmaps
import pandas as pd
import geopandas as gpd

import kmaps import pandas as pd import geopandas as gpd

In [2]:

df = pd.read_csv('data/world_cities.csv')

df = pd.read_csv('data/world_cities.csv')

In [3]:

df[0:2]

df[0:2]

Out[3]:

	name	sov_a3	latitude	longitude	pop_max
0	Bombo	UGA	0.5833	32.5333	75000
1	Fort Portal	UGA	0.6710	30.2750	42670

In [4]:

# Q1 shapefile
kmaps.csv_to_shp('data/world_cities.csv', 'data/world_cities.shp', attribute = 'name')

# Q1 shapefile kmaps.csv_to_shp('data/world_cities.csv', 'data/world_cities.shp', attribute = 'name')

In [5]:

# Q1 geojson
kmaps.csv_to_geojson('data/world_cities.csv', 'data/world_cities.geojson')

# Q1 geojson kmaps.csv_to_geojson('data/world_cities.csv', 'data/world_cities.geojson')

In [6]:

df1 = gpd.read_file('data/world_cities.shp')

df1 = gpd.read_file('data/world_cities.shp')

In [7]:

df2 = gpd.read_file('data/world_cities.geojson')

df2 = gpd.read_file('data/world_cities.geojson')

In [2]:

m = kmaps.Map()
m

m = kmaps.Map() m

Map(center=[37.5, 127], controls=(ZoomControl(options=['position', 'zoom_in_text', 'zoom_in_title', 'zoom_out_…

In [3]:

# Q2
m.add_points_from_csv('data/world_cities.csv')

# Q2 m.add_points_from_csv('data/world_cities.csv')

In [4]:

# Q3
m.add_select_mc()

# Q3 m.add_select_mc()

In [ ]:

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Last update: 2023-05-12