From 5a73b9849453a7275fa28ce069d15ffdf1b21dc4 Mon Sep 17 00:00:00 2001
From: jakub_szczegiecki <s172580@student.pg.edu.pl>
Date: Mon, 29 Nov 2021 15:33:30 +0100
Subject: [PATCH] Added file timestamp.ipynb
---
timestamp.ipynb | 56 +++++++++++++++++++++++++++++++++++++++++++++++++
1 file changed, 56 insertions(+)
create mode 100644 timestamp.ipynb
diff --git a/timestamp.ipynb b/timestamp.ipynb
new file mode 100644
index 0000000..d658d72
--- /dev/null
+++ b/timestamp.ipynb
@@ -0,0 +1,56 @@
+{
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "39fc9501",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import datetime\n",
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "\n",
+ "# Plik potrzebuje ramki danych df wygenerowanej jako zapytanie SQL\n",
+ "\n",
+ "timestamp1 = df[\"TIMESTAMP\"].astype('datetime64[ns]')\n",
+ "\n",
+ "hour = timestamp1.astype('datetime64[ns]').dt.hour.astype(int)\n",
+ "minute = timestamp1.astype('datetime64[ns]').dt.minute.astype(int)\n",
+ "second = timestamp1.astype('datetime64[ns]').dt.second.astype(int)\n",
+ "microsecond = timestamp1.astype('datetime64[ns]').dt.microsecond.astype(int)\n",
+ "\n",
+ "millisecond = microsecond/1000+second*1000+minute*60000+hour*3600000\n",
+ "delta_ms = millisecond - millisecond[0]\n",
+ "delta_ms\n",
+ "\n",
+ "timestamp = pd.DataFrame()\n",
+ "timestamp = pd.concat([timestamp1, hour, minute, second, microsecond, delta_ms], axis = 1)\n",
+ "timestamp.columns = ['timestamp', 'hour', 'minute', 'second', 'microsecond', 'delta_ms']\n",
+ "\n",
+ "timestamp"
+ ]
+ }
+ ],
+ "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": "3.8.8"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
--
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