daydreamersjp

daydreamersjp / using_coupon_distribution.py

Created May 19, 2022 04:47

	import pandas as pd
	import matplotlib.pyplot as plt
	import matplotlib.ticker as ticker

	from src.models.coupon_distribution import *

	# Initialize CouponDistribution object and load data
	coupon_dist = CouponDistribution()
	coupon_dist.load_data(
	customer_data_path="./data/external/customers.csv",

daydreamersjp / coupon_distribution.py

Created May 19, 2022 04:42

	"""
	A module to do optimization for planning coupon distritbuion.
	"""

	import sys
	import time
	from typing import Tuple, Union
	import logging
	import pandas as pd
	import pulp

daydreamersjp / app_heroku_record_iphone_click.py

Created September 17, 2020 22:10

	import os
	import datetime
	import gspread
	import urllib.request
	import pandas as pd

	from flask import Flask

	FRT = datetime.timezone(datetime.timedelta(hours=+2))

daydreamersjp / procfile_heroku_record_iphone_click

Created September 17, 2020 22:08

web: gunicorn app:app

daydreamersjp / cloud_functions_record_iphone_requirements.py

Created September 17, 2020 21:06

daydreamersjp / cloud_functions_record_iphone.py

Created September 17, 2020 21:04

	import os
	import datetime
	import gspread
	import urllib.request
	import pandas as pd

	event = "Arrived at office." # Whatever event you want to record in the sheet.

	FRT = datetime.timezone(datetime.timedelta(hours=+2))

daydreamersjp / cloud_functions_nytaxi_requirements.txt

Created September 9, 2020 22:17

	google-auth==1.20.1
	google-cloud-bigquery==1.27.2
	google-cloud-bigquery-storage==1.0.0
	oauth2client==4.1.3
	pandas==0.25.3
	pandas-gbq==0.13.2
	gspread==3.6.0
	urllib3==1.24.3

daydreamersjp / cloud_functions_nytaxi.py

Last active March 21, 2021 19:21

	import os
	import google.auth
	from google.cloud import bigquery
	from google.cloud import bigquery_storage_v1beta1
	import datetime
	import gspread
	import urllib.request
	from oauth2client.service_account import ServiceAccountCredentials

	def nytaxi_pubsub(event, context):

daydreamersjp / prophet_acfpacf.py

Created August 21, 2020 22:58

	# After getting forecast dataframe using user-defined seasonality "on-season"/"off-season" above...

	from statsmodels.graphics.tsaplots import plot_pacf, plot_acf

	df['ds'] = pd.to_datetime(df['ds'],format='%Y-%m-%d')
	df_res = df.merge(forecast,how="inner",on="ds")
	df_res['residual'] = df_res['y'] - df_res['yhat']
	plot_acf(df_res['residual'])
	plot_pacf(df_res['residual'])
	plt.show()

daydreamersjp / prophet_cv.py

Created August 21, 2020 20:47

	import pandas as pd
	import matplotlib.pyplot as plt
	from IPython.display import display

	from fbprophet import Prophet
	from fbprophet.diagnostics import cross_validation, performance_metrics
	from fbprophet.plot import add_changepoints_to_plot, plot_cross_validation_metric

	# Load test data: log-transformed daily page views for the Wikipedia page for Peyton Manning.
	df = pd.read_csv("https://raw.githubusercontent.com/facebook/prophet/master/examples/example_wp_log_peyton_manning.csv")