from WatchDogs_MongoWrapper import MongoWrapper from dash.dependencies import Input, Output import pandas as pd df = pd.read_csv('/Users/iankresyman/Desktop/2011_february_us_airport_traffic2.csv') df.head() df['text'] = df['airport'] + '' + df['city'] + ', ' + df['state'] + '' + 'Arrivals: ' + df['cnt'].astype(str) scl = [ [0,"rgb(39,174,96)"],[0.35,"rgb(46,204,113)"],[0.5,"rgb(241,196,15)"],\ [0.6,"rgb(243,156,18)"],[0.7,"rgb(231,76,60)"],[1,"rgb(192,57,43)"] ] mongo = MongoWrapper() negCoord, neuCoord, posCoord = mongo.get_lat_long('Facebook') getTweets = mongo.get_tweets_with_lat_long('Facebook') allLatitude = getTweets['Latitude'] allLongitude = getTweets['Longitude'] allSentiment = getTweets['Sentiment_Value'] print('\n') # print(negCoord[0]) # df1 = pd.DataFrame() # df2 = pd.DataFrame() # df3 = pd.DataFrame() # df4 = pd.DataFrame() # df5 = pd.DataFrame()
def test_lat_long(self): mongo = MongoWrapper() print(mongo.get_lat_long('Facebook'))