from arcgis import GIS
import pandas as pd
from arcgis.features import GeoAccessor, GeoSeriesAccessor
from arcgis.geocoding import batch_geocode
from arcgis.features import SpatialDataFrame
gis = GIS('https://siarcgisweb01.trssllc.com/portal/home', 'sazdrake')
map1 = gis.map('New York, NY')
map1.basemap = "osm"
map1
address_frame = pd.read_csv('data/city_of_new_york.csv')
address_shp = SpatialDataFrame.from_xy(address_frame, 'LON', 'LAT')
address_shp.spatial.plot(map_widget=map1)
cstep=50,
outline_color='Blues',
marker_size=10)
# In[7]:
df.columns
# In[8]:
df[['ST', 'NAME']].head()
# In[9]:
gis = GIS()
m3 = gis.map("United States", zoomlevel=4)
m3
# In[10]:
df.spatial.plot(
map_widget=m3,
renderer_type='u', #specify the unique value renderer using its notation 'u'
col='ST') #column to get unique values from
# In[11]:
item = gis.content.get("8444e275037549c1acab02d2626daaee")
flayer = item.layers[0]
df2 = flayer.query().sdf
# -*- coding: utf-8 -*-
"""
Created on Sun Oct 25 21:03:21 2020
@author: apee461
"""
from arcgis import GIS
gis = GIS("https://apee461.cc4soe.cloud.edu.au/portal", "admin",
"bobby2Tables")
content = gis.content.search("golf_courses", item_type="Feature Layer")
content[0]
map1 = gis.map()
map1.extent = content[0].extent
map1.add_layer(content[0])
map1
#%%
from arcgis.features import FeatureLayerCollection
from arcgis.features.use_proximity import create_buffers
golf_courses = content[0]
buffer_golf = create_buffers(golf_courses,
dissolve_type='Dissolve',
distances=[0.5],
ring_type='Rings',
units='Miles',
output_name="GolfBuffer")
# coding: utf-8
# In[6]:
import arcgis
from arcgis import GIS
# Create a GIS object, as an anonymous user for this example
gis = GIS()
# ## Texas Map
# In[7]:
# Create a map widget
map1 = gis.map('Texas') # Passing a place name to the constructor
# will initialize the extent of the map.
map1
# ### Changing the zoom
# In[13]:
map1.zoom = 10
# ### Houston Area
# In[11]:
map1.center = [29.7604, -95.3698]
# In[14]: