def prediction():
# set the default values
date_to_predict, zipcode_to_predict, pickup_deliv_predict = '2015-11-11', 'all', 'Pickups and Deliveries'
# handle whenever user make a form POST (click the Plot button)
if request.method == 'POST':
try:
# use this to get the values of user input from the form
print('method is POST')
date_to_predict = request.form.get('date_to_predict')
zipcode_to_predict = request.form.get('zipcode_to_predict')
pickup_deliv_predict = request.form.get('pickup_deliv_predict')
except ValueError:
print('ValueError!')
pass
_, date_to_predict_y, _, _ = linear_regression_lassocoefs(pickup_deliv_predict, zipcode_to_predict, date_to_predict)
date_to_predict_y = round(date_to_predict_y,1)
return render_template("prediction.html", date_to_predict=date_to_predict, zipcode_to_predict=zipcode_to_predict, pickup_deliv_predict=pickup_deliv_predict, date_to_predict_y=date_to_predict_y)
def predict_future():
from io import BytesIO
try:
# use this to get the values of user input from the form
date_to_predict = request.args.get('date_to_predict')
zipcode_to_predict = request.args.get('zipcode_to_predict')
pickup_deliv_predict = request.args.get('pickup_deliv_predict')
except ValueError:
date_to_predict = '2015-11-11'
zipcode_to_predict = 'all'
pickup_deliv_predict = 'Pickups and Deliveries'
fig, date_to_predict_y, _, _ = linear_regression_lassocoefs(pickup_deliv_predict, zipcode_to_predict, date_to_predict)
print(date_to_predict_y)
imgIO = BytesIO()
fig.savefig(imgIO, bbox_inches='tight')
imgIO.seek(0)
return send_file(imgIO, mimetype='image/png')
