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{
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"cells": [
{
"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import pickle\n",
"#import connexion\n",
"with open('train.pickle', 'rb') as f:\n",
" data = pickle.load(f)\n"
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]
},
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{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"datetime.datetime(2020, 12, 31, 8, 42, 19, 743852)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"dt.datetime.now()"
]
},
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{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[1.0, 3.0, 5.0, 7.0, 9.0]"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"a = [0,2,4,6,8,10]\n",
"[a[i]+(a[i+1]-a[i])/2 for i in range(len(a)-1)]"
]
},
{
"cell_type": "code",
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"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"[datetime.datetime(2020, 12, 31, 8, 43, 21, 762229),\n",
" datetime.datetime(2020, 12, 31, 12, 43, 21, 762229),\n",
" datetime.datetime(2020, 12, 31, 16, 43, 21, 762229),\n",
" datetime.datetime(2020, 12, 31, 20, 43, 21, 762229),\n",
" datetime.datetime(2021, 1, 1, 0, 43, 21, 762229),\n",
" datetime.datetime(2021, 1, 1, 4, 43, 21, 762229),\n",
" datetime.datetime(2021, 1, 1, 8, 43, 21, 762229)]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import datetime as dt\n",
"timedelta = dt.timedelta\n",
"datetime = dt.datetime\n",
"def daterange(start, stop, days = 1, hours = 0):\n",
" date = start\n",
" date_list = []\n",
" assert(type(date)==datetime)\n",
" while date <= stop:\n",
" date_list.append(date)\n",
" date += timedelta(days=days,hours=hours)\n",
" return date_list\n",
"daterange(dt.datetime.now(),dt.datetime.now()+timedelta(1),0,4)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": 6,
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"metadata": {},
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"outputs": [
{
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"data": {
"text/plain": [
"datetime.date(2021, 1, 1)"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
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}
],
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"source": [
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"dt.date.today()+timedelta(1)\n"
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]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"numpy.datetime64('2020-02-28T20:41:46.702000674')"
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[0].to_datetime64()"
]
},
{
"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
{
"ename": "ModuleNotFoundError",
"evalue": "No module named 'connexion'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-4-4cfd4c2644a8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mfunctools\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mwraps\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mconnexion\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 13\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0msentry_sdk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0mconnexion\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mProblemException\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
"\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'connexion'"
]
}
],
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"source": [
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"import random\n",
"import csv\n",
"import io\n",
"import json\n",
"\n",
"import logging\n",
"import os\n",
"from datetime import datetime\n",
"from datetime import date\n",
"from functools import wraps\n",
"\n",
"import connexion\n",
"import sentry_sdk\n",
"from connexion import ProblemException\n",
"from flask import render_template, request, redirect, url_for, flash, abort, Response, send_file, session\n",
"from flask_assets import Environment\n",
"from flask_cors import CORS\n",
"from flask_mail import Mail\n",
"from flask_marshmallow import Marshmallow\n",
"from flask_migrate import Migrate\n",
"from flask_paginate import Pagination, get_page_parameter\n",
"from flask_sqlalchemy import SQLAlchemy\n",
"from sqlalchemy import func\n",
"from sentry_sdk.integrations.flask import FlaskIntegration\n",
"from webassets import Bundle\n",
"from flask_executor import Executor"
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]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "int() argument must be a string, a bytes-like object or a number, not 'datetime.datetime'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-39-8f76617de29c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdt\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m: int() argument must be a string, a bytes-like object or a number, not 'datetime.datetime'"
]
}
],
"source": [
"int(dt)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.3"
}
},
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"nbformat": 4,
"nbformat_minor": 4
}