def test_coordinates(request):
print "Test Coordinates"
drop_offs = None
results_flag = False
number_dropoffs = None
cluster_list = None
clusters = None
current_lat = '40.730610'
current_long = '-73.935242'
if request.method == 'POST':
results_flag = True
#Updates the lat and long
current_lat = request.POST.get('pick_up_lat', '40.730610')
current_long = request.POST.get('pick_up_lon', '-73.935242')
pickup_date = request.POST.get('pickup_date', '01/01/2015')
pickup_date_init, pickup_date_end = format_date(pickup_date)
drop_offs = get_dropoffs_df_from_db(current_lat, current_long, pickup_date_init, pickup_date_end)
number_dropoffs = len(drop_offs)
print "Number of dropoffs", len(drop_offs)
dropoffs_df = pd.DataFrame(drop_offs)
clusters, cluster_list = get_cluster_listthing(dropoffs_df)
print clusters
print "======="
print cluster_list
context = RequestContext(request, {
'drop_offs': drop_offs,
'current_lat': Decimal(current_lat),
'current_long': Decimal(current_long),
'results_flag': results_flag,
'number_dropoffs': number_dropoffs,
'clusters': clusters,
'cluster_list': cluster_list,
})
return render(request, 'taxis/coordinates_test.html', context)
def google_map(request):
error_message = None
drop_offs = None
results_flag = False
number_dropoffs = None
pickup_distribution = OrderedDict()
rate_summary = OrderedDict()
distance_summary = OrderedDict()
current_lat = '40.730610'
current_long = '-73.935242'
if request.method == 'POST':
results_flag = True
#Updates the lat and long
current_lat = request.POST.get('pick_up_lat', '40.730610')
current_long = request.POST.get('pick_up_lon', '-73.935242')
pickup_date = request.POST.get('pickup_date', '01/01/2015')
pickup_date_init, pickup_date_end = format_date(pickup_date)
drop_offs = get_dropoffs_df_from_db(current_lat, current_long, pickup_date_init, pickup_date_end)
number_dropoffs = len(drop_offs)
print "Number of dropoffs", len(drop_offs)
dropoffs_df = pd.DataFrame(drop_offs)
try:
hour_range = pd.date_range('00:00:00', periods=24, freq='H')
for hour in hour_range:
hour_string = hour.strftime("%H:%M")
pickup_distribution[hour_string] = 0
dropoffs_df['pickup_datetime'] = pd.to_datetime(dropoffs_df['pickup_datetime'])
times = pd.DatetimeIndex(dropoffs_df.pickup_datetime)
hour_groups = dropoffs_df.groupby([times.hour]).size()
for hg in hour_groups.index:
#Leading zeros
hour_string = str(hg).zfill(2)+':00'
pickup_distribution[hour_string] = int(hour_groups[hg])
#Get the descriptive summary
rate_sum_statistics = dropoffs_df['total_amount'].describe()
rate_summary['Mean'] = rate_sum_statistics['mean']
rate_summary['Std Dev'] = rate_sum_statistics['std']
rate_summary['25%'] = rate_sum_statistics['25%']
rate_summary['50%'] = rate_sum_statistics['50%']
rate_summary['75%'] = rate_sum_statistics['75%']
rate_summary['Max'] = rate_sum_statistics['max']
distance_sum_statistics = dropoffs_df['trip_distance'].describe()
distance_summary['Mean'] = distance_sum_statistics['mean']
distance_summary['Std Dev'] = distance_sum_statistics['std']
distance_summary['25%'] = distance_sum_statistics['25%']
distance_summary['50%'] = distance_sum_statistics['50%']
distance_summary['75%'] = distance_sum_statistics['75%']
distance_summary['Max'] = distance_sum_statistics['max']
except LookupError:
print "Error"
results_flag = False
error_message = 'There is no data for this day or this location. Please try another another combination'
context = RequestContext(request, {
'drop_offs': drop_offs,
'current_lat': Decimal(current_lat),
'current_long': Decimal(current_long),
'results_flag': results_flag,
'number_dropoffs': number_dropoffs,
'pickup_distribution': pickup_distribution,
'rate_summary': rate_summary,
'distance_summary': distance_summary,
'error': error_message,
})
return render(request, 'taxis/google_map.html', context)
