1.arcgis api for python 自制点 featurelayer

%matplotlib

import matplotlib.pyplot as plt

import numpy as np

import pandas as pd

import math

from datetime import datetime as dt

from IPython.display import Image,HTML

from sklearn.svm import SVR

from sklearn.preprocessing import MinMaxScaler

from sklearn.metrics import mean_squared_error, r2_score

from tensorflow.keras.models import Sequential

from tensorflow.keras.layers import LSTM , Dense, Activation, Dropout

from tensorflow.keras.optimizers import Adam

import tensorflow.keras.backend as K

from arcgis.gis import GIS

from arcgis.features import SpatialDataFrame

from arcgis.features.analysis import interpolate_points

print("ArcGIS Online Org account")

my_gis = GIS("https://www.arcgis.com", "user ","pass")

import pandas as pd

data = pd.read_csv("./light_flight.csv",index_col=False)

test_data = data.head(30)[['FlightNum','currentlat','currentlon']]

# rename_cols

test_data['longitude'] = test_data['currentlon']

test_data['latitude'] = test_data['currentlat']

test_data = test_data.drop(columns = ['currentlat','currentlon'],axis = 1)

test_data.to_csv("test_data.csv")

# add the csv as an item

import datetime as dt

import os

import shutil

# assign variable to current timestamp to make unique file to add to portal

# test_data.to_csv("test_data.csv")

now = int(dt.datetime.now().timestamp())

item_prop = {'title':'global_flight_cur_test_' + str(now)}

csv_item = my_gis.content.add(item_properties = item_prop, data = "test_data.csv")

csv_item

航线点csv数据集

# 图层 是Feature_layer,

# 服务即图层，->"item" , "item"可以是WebMap、FeatureLayer、ImageLayer等等

# publish the csv item into a feature layer

flight_item = csv_item.publish()

flight_item

数据发布.png

map1 = my_gis.map()

map1.add_layer(flight_item)

map1

添加点元素后的三纬图.png

超级炫酷数据可视化kepler.gl

import json

from keplergl import KeplerGl

import os

with open("./data/geom/****.json","r") as f:

geojson = json.load(f)

map_k = KeplerGl(height = 600)

map_k.add_data(data = geojson, name = 'geojson')

map_k

面图层显示.png