Initial commit

eseriesnumbers.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "966b3d0d-7931-4334-be34-c4a8527bfdea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "1a25519c-b66a-4d98-9780-2f698bc60eea",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import ddceetools.resistors as res"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "66fb1b51-80f5-4f9b-9a49-fc997cc8f6d9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib widget"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "1f157ff3-2fae-425e-b031-2f2896bfe9e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2c8f6504-5300-426a-b5ad-f2e4e122ea2c",
+   "metadata": {},
+   "source": [
+    "Resistor values in a decade, $d$, can be calculated with\n",
+    "\n",
+    "$$\n",
+    "\\label{eq:resistance}\n",
+    "R_m = d \\cdot 10^{(m/N)} \\quad m=0,\\,1,\\,\\ldots,\\,N-1\n",
+    "$$\n",
+    "\n",
+    "Where $R_m$ is the $m^{th}$ logarithmically evenly spaced resistance, $d$ is the decade multiplier, and $N$ is the number of points for the tolerance. The values of $N$ are shown in the following table."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77ccbf0b-8606-44e8-a94b-3325f7f3c819",
+   "metadata": {},
+   "source": [
+    ":::{table} $N$ Values\n",
+    ":widths: auto\n",
+    ":align: center\n",
+    "\n",
+    "| Tolerance | $N$ |\n",
+    "| --- | --- |\n",
+    "| < 1 % | 192 |\n",
+    "| 1 % | 96 |\n",
+    "| 2 % | 48 |\n",
+    "| 5 % | 24 |\n",
+    "| 10 % | 12 |\n",
+    ":::"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5bc45e01-2e06-4ab5-9012-96cb4137b8c9",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Foo!\n"
+     ]
+    }
+   ],
+   "source": [
+    "pcttol = 0.01\n",
+    "N = 96\n",
+    "d = 1\n",
+    "n = np.arange(N)\n",
+    "rseries = res.rm(n, d = d)\n",
+    "rthresh = 10 * d * (1 - pcttol)\n",
+    "#Rseries = pd.DataFrame(res.rm(m, d = d))\n",
+    "#Rseries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c46c8f34-f783-4d7a-b014-3d57b0691967",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "R0 = d\n",
+    "R0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "5794275b-4c23-424a-8d7c-be984c8b7d64",
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "tolrseries = 0.01 * rseries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "f684f426-e2f2-43eb-afe3-355674281521",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "figno = 0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "92af23b4-dcbd-4315-93ab-33a629cd1ed7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "figno += 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "2cca1fe6-df10-450e-8edd-949ee15f06e9",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.lines.Line2D at 0x75dcdef13910>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "basefig = plt.figure('Decade Resistance')\n",
+    "#basefig.clf()\n",
+    "\n",
+    "baseax = basefig.add_subplot(111)\n",
+    "\n",
+    "baseax.set_yscale('log')\n",
+    "baseax.set_xticks(n)\n",
+    "\n",
+    "baseax.errorbar(n, rseries, fmt='o', yerr=tolrseries)\n",
+    "\n",
+    "baseax.axhline(R0)\n",
+    "baseax.axhline(R0 + pcttol)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "5aba64bd-ef40-4d84-a0de-c793d47593eb",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "np.float64(9.76)"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "rseries[-1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f352a13a-bd9e-410c-a07f-c95c8bc03acd",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}