import pandas as pd
import numpy as np
from datetime import datetime
import warnings
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
warnings.filterwarnings('ignore')
import plotly
from IPython.display import HTML
from IPython.display import display
import json # library to handle JSON files
from geopy.geocoders import Nominatim # convert an address into latitude and longitude values
import requests # library to handle requests
from pandas.io.json import json_normalize # tranform JSON file into a pandas dataframe
from sodapy import Socrata
#Data Load
df = pd.read_csv('Data/Traffic_Stop_Dataset.csv')
cols= ['Year','Date','Race','Gender','Driver_search','Vehicle_search','Citation','Age','Reason','Grid','GridLocation', 'Count']
df.columns= cols
df.head(2)