quick modifications
This commit is contained in:
Jeff MacKinnon
parent
84181df2a2
commit
32f1212b8d
7 changed files with 14 additions and 294 deletions
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include LICENSE
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include README.md
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recursive-include docs *
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16
README.md
16
README.md
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# JEPL
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# JMK Engineering Python Library
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JMK Engineering Python Library
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or JEPL for short.
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I don't know if this should be called a library or a set of modules. What it is, is a set of functions that replace calculations that I do on a weekly basis.
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The library is broken into sections, with more being added later, including circuits and pv.
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Some of these libraries rely on publicly accessible information, including manufacturer data sheets. The libraries that rely on copyrighted information you need to make sure that you have a copy of the standard, code, etc before initializing the software.
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Use the example python notebook to get started.
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## What we're missing
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Tests, I haven't written any real tests for this set of libraries, yet. That will be coming soon, probably the next time that we have a slow time.
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{
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"cells": [
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{
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"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 pandas as pd\n",
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"\n",
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"import sqlite3\n",
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"\n",
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"def insert(database,table,data):\n",
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" '''\n",
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" This function creates a database from the current \n",
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" source data to be used in the modules.\n",
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"\n",
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" Running this function will replace any data that is already in the database.\n",
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" '''\n",
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"\n",
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" conn = sqlite3.connect(database) \n",
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" data.to_sql(table, conn, if_exists='replace', index=False) \n",
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" conn.close()\n",
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"\n",
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"def create_database(name,tables): \n",
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" '''\n",
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" This function loops over the source data lists to create tables in the database.\n",
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" '''\n",
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" \n",
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" for i in range(len(tables)):\n",
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" db = tables[i][0]\n",
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" table = tables[i][1]\n",
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" source = tables[i][2]\n",
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" data = pd.read_csv(source)\n",
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"\n",
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" insert(db,table,data) # Call the database insert function to add the data\n",
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"\n",
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"\n",
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"'''\n",
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" This is all the tables and their sources that will be added to the databases.\n",
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"\n",
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" \n",
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"'''\n",
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"\n",
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"db_name = 'jepl-cec21.db'\n",
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"CEC21_database = [\n",
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" [db_name,'Table1','Tables/CEC-Tables/CEC21-table1.csv'],\n",
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" [db_name,'Table2','Tables/CEC-Tables/CEC21-table2.csv'],\n",
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" [db_name,'Table3','Tables/CEC-Tables/CEC21-table2.csv'],\n",
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" [db_name,'Table4','Tables/CEC-Tables/CEC21-table2.csv'],\n",
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" ]\n",
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"\n",
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"create_database(db_name,CEC21_database)\n",
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"\n",
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"\n",
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"db_name = 'jepl-cable.db'\n",
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"cable_database = [\n",
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" [db_name,'SW-Spec 25055','Tables/Manufacturer/SW-Spec-23055.csv'],\n",
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" ]\n",
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"create_database(db_name,cable_database)\n",
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"\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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168
jepl/tables.py
168
jepl/tables.py
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import pandas as pd
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import sqlite3
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'''
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The purpose of this file is to create the database(s) needed for the project.
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There are two databases that are created, the first is public information and the other is copyrighted.
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If you don't own the code version listed you can't use this portion of the library.
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'''
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CEC21_table1 = pd.DataFrame([
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['14',25,30,35],
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['12',30,35,40],
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['10',40,50,55],
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['8',60,70,80],
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['6',80,95,105],
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['4',105,125,140],
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['3',120,145,165],
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['2',140,170,190],
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['1',165,195,220],
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['0',195,230,260],
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['00',220,265,300],
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['000',260,310,350],
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['0000',300,360,405],
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['250',340,405,455],
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['300',370,445,500],
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['350',425,505,570],
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['400',455,545,615],
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['500',520,620,700],
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['600',580,690,780],
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['700',630,755,850],
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['750',655,785,885],
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['800',680,815,920],
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['1000',785,870,980],
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['1250',890,1065,1200],
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['1500',985,1175,1325],
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['1750',1070,1280,1445],
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['2000',1160,1385,1560]
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],
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columns = ['size','60','75','90']
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)
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CEC21_table2 = pd.DataFrame([
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['14',15,20,25],
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['12',20,25,30],
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['10',30,35,40],
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['8',40,50,55],
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['6',40,50,55],
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['4',70,85,95],
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['3',85,100,115],
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['2',95,115,130],
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['1',110,130,145],
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['0',125,150,170],
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['00',145,175,195],
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['000',165,200,225],
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['0000',195,230,260],
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['250',215,255,290],
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['300',240,285,320],
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['350',260,310,350],
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['400', 280,335,380],
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['500',320,380,430],
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['600',350,420,475],
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['700',385,460,520],
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['750',400,475,535],
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['800',410,490,555],
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['900',435,520,585],
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['1000',455,545,615],
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['1250',495,590,615],
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['1500',525,625,705],
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['1750',545,650,735],
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['2000',555,665,750]
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],
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columns = ['size','60','75','90']
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)
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CEC21_table3 = pd.DataFrame([
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['12',25,30,35],
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['10',35,40,45],
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['8',45,55,60],
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['4',65,75,85],
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['3',95,115,130],
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['2',115,135,150],
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['1',1340,155,175],
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['0',150,180,205],
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['00',175,210,235],
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['000',200,240,270],
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['0000',235,280,315],
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['250',265,315,355],
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['300',295,350,395],
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['350',330,395,445],
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['400',355,425,480],
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['500',405,485,545],
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['600',455,545,615],
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['700',500,595,670],
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['750',520,620,700],
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['800',540,645,725],
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['900',585,700,790],
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['1000',630,750,845],
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['1250',715,855,965],
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['1500',795,950,1070],
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['1750',880,1050,1185],
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['2000',965,1150,1295]
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],
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columns = ['size','60','75','90']
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)
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CEC21_table4 = pd.DataFrame([
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['12',15,20,25],
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['10',25,30,35],
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['8',35,40,45],
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['6',40,50,55],
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['4',55,65,75],
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['3',65,75,85],
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['2',75,90,100],
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['1',85,100,115],
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['0',100,120,165],
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['00',115,165,150],
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['000',160,155,175],
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['0000',150,180,205],
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['250',170,205,230],
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['300',195,230,260],
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['350',210,250,280],
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['400',225,270,305],
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['500',260,310,350],
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['600',285,340,385],
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['700',315,375,425],
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['750',320,385,435],
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['800',330,395,445],
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['900',355,425,480],
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['1000',375,445,500],
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['1250',405,485,545],
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['1500',435,520,585],
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['1750',455,545,615],
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['2000',470,560,630]
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],
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columns = ['size','60','75','90']
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)
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CEC_table1 = CEC21_table1
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CEC_table2 = CEC21_table2
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CEC_table3 = CEC21_table3
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CEC_table4 = CEC21_table4
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# 3C TECK90 1000V Aluminum power cable
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# Southwire Spec 25055 Revision 1.000.010
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al_3C_cable_table = pd.DataFrame([
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['6', 2.66],
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['4',1.67],
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['2',1.05],
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['1',0.83],
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['0',0.66],
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['00',0.52],
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['000',0.41],
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['0000',0.33],
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['250',0.28],
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['350',0.2],
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['500',0.14],
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['750',0.1]
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],
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columns = ['size','AC Resistance']
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)
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[build-system]
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requires = ['setuptools>=40.8.0']
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build-backend = 'setuptools.build_meta'
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29
setup.cfg
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setup.cfg
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[metadata]
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name = jepl
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version = 0.1
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description = A Library for Elecrical Engineeing
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long_description = file: readme.md
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url = https://www.jmkengineering.com
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author = Jeff MacKinnon
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author_email = jeff@jmkengineering.com
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license = GNU-AFFERO
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classifiers =
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Intended Audience :: Developers
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License :: GNU AFFERO
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Operating System :: OS Independent
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Programming Language :: Python
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Programming Language :: Python :: 3
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Programming Language :: Python :: 3 :: Only
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Programming Language :: Python :: 3.8
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Programming Language :: Python :: 3.9
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Programming Language :: Python :: 3.10
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Programming Language :: Python :: 3.11
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Programming Language :: Python :: 3.12
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[options]
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include_package_data = true
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packages = find:
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python_requires = >=3.8
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install_requires =
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Numpy
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Pandas
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3
setup.py
3
setup.py
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from setuptools import setup
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setup()
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Loading…
Add table
Reference in a new issue