invert.ipynb - machinelearning - Machine learning code

invert.ipynb (199047B)
      1 {
      2  "cells": [
      3   {
      4    "cell_type": "markdown",
      5    "metadata": {},
      6    "source": [
      7     "Graph function, inverse, and mirror line"
      8    ]
      9   },
     10   {
     11    "cell_type": "code",
     12    "execution_count": 57,
     13    "metadata": {},
     14    "outputs": [],
     15    "source": [
     16     "import numpy as np\n",
     17     "\n",
     18     "def chart(a,b, c, count):\n",
     19     "    X = np.linspace(start=-10,stop=10,num=count)\n",
     20     "    y = []\n",
     21     "    for i in X:\n",
     22     "        y.append(i * b + a*i*i + c)\n",
     23     "    \n",
     24     "    return X,y"
     25    ]
     26   },
     27   {
     28    "cell_type": "code",
     29    "execution_count": 80,
     30    "metadata": {},
     31    "outputs": [
     32     {
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     48          "name": "",
     49          "orientation": "v",
     50          "showlegend": false,
     51          "type": "scatter",
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   6779             [
   6780              0.7777777777777778,
   6781              "#fb9f3a"
   6782             ],
   6783             [
   6784              0.8888888888888888,
   6785              "#fdca26"
   6786             ],
   6787             [
   6788              1,
   6789              "#f0f921"
   6790             ]
   6791            ]
   6792           },
   6793           "colorway": [
   6794            "#636efa",
   6795            "#EF553B",
   6796            "#00cc96",
   6797            "#ab63fa",
   6798            "#FFA15A",
   6799            "#19d3f3",
   6800            "#FF6692",
   6801            "#B6E880",
   6802            "#FF97FF",
   6803            "#FECB52"
   6804           ],
   6805           "font": {
   6806            "color": "#2a3f5f"
   6807           },
   6808           "geo": {
   6809            "bgcolor": "white",
   6810            "lakecolor": "white",
   6811            "landcolor": "#E5ECF6",
   6812            "showlakes": true,
   6813            "showland": true,
   6814            "subunitcolor": "white"
   6815           },
   6816           "hoverlabel": {
   6817            "align": "left"
   6818           },
   6819           "hovermode": "closest",
   6820           "mapbox": {
   6821            "style": "light"
   6822           },
   6823           "paper_bgcolor": "white",
   6824           "plot_bgcolor": "#E5ECF6",
   6825           "polar": {
   6826            "angularaxis": {
   6827             "gridcolor": "white",
   6828             "linecolor": "white",
   6829             "ticks": ""
   6830            },
   6831            "bgcolor": "#E5ECF6",
   6832            "radialaxis": {
   6833             "gridcolor": "white",
   6834             "linecolor": "white",
   6835             "ticks": ""
   6836            }
   6837           },
   6838           "scene": {
   6839            "xaxis": {
   6840             "backgroundcolor": "#E5ECF6",
   6841             "gridcolor": "white",
   6842             "gridwidth": 2,
   6843             "linecolor": "white",
   6844             "showbackground": true,
   6845             "ticks": "",
   6846             "zerolinecolor": "white"
   6847            },
   6848            "yaxis": {
   6849             "backgroundcolor": "#E5ECF6",
   6850             "gridcolor": "white",
   6851             "gridwidth": 2,
   6852             "linecolor": "white",
   6853             "showbackground": true,
   6854             "ticks": "",
   6855             "zerolinecolor": "white"
   6856            },
   6857            "zaxis": {
   6858             "backgroundcolor": "#E5ECF6",
   6859             "gridcolor": "white",
   6860             "gridwidth": 2,
   6861             "linecolor": "white",
   6862             "showbackground": true,
   6863             "ticks": "",
   6864             "zerolinecolor": "white"
   6865            }
   6866           },
   6867           "shapedefaults": {
   6868            "line": {
   6869             "color": "#2a3f5f"
   6870            }
   6871           },
   6872           "ternary": {
   6873            "aaxis": {
   6874             "gridcolor": "white",
   6875             "linecolor": "white",
   6876             "ticks": ""
   6877            },
   6878            "baxis": {
   6879             "gridcolor": "white",
   6880             "linecolor": "white",
   6881             "ticks": ""
   6882            },
   6883            "bgcolor": "#E5ECF6",
   6884            "caxis": {
   6885             "gridcolor": "white",
   6886             "linecolor": "white",
   6887             "ticks": ""
   6888            }
   6889           },
   6890           "title": {
   6891            "x": 0.05
   6892           },
   6893           "xaxis": {
   6894            "automargin": true,
   6895            "gridcolor": "white",
   6896            "linecolor": "white",
   6897            "ticks": "",
   6898            "title": {
   6899             "standoff": 15
   6900            },
   6901            "zerolinecolor": "white",
   6902            "zerolinewidth": 2
   6903           },
   6904           "yaxis": {
   6905            "automargin": true,
   6906            "gridcolor": "white",
   6907            "linecolor": "white",
   6908            "ticks": "",
   6909            "title": {
   6910             "standoff": 15
   6911            },
   6912            "zerolinecolor": "white",
   6913            "zerolinewidth": 2
   6914           }
   6915          }
   6916         },
   6917         "xaxis": {
   6918          "range": [
   6919           -10,
   6920           10
   6921          ]
   6922         }
   6923        }
   6924       }
   6925      },
   6926      "metadata": {},
   6927      "output_type": "display_data"
   6928     }
   6929    ],
   6930    "source": [
   6931     "import plotly.express as px\n",
   6932     "import matplotlib.pyplot as plt\n",
   6933     "import plotly.graph_objects as go\n",
   6934     "\n",
   6935     "a = 2\n",
   6936     "b = 1\n",
   6937     "c = 1\n",
   6938     "X,y = chart(a,b,c,1000)\n",
   6939     "\n",
   6940     "lorX, lorY = chart(0,1,0,1000)\n",
   6941     "\n",
   6942     "invX = y\n",
   6943     "invY = X\n",
   6944     "\n",
   6945     "f1 = px.scatter(x=X,y=y, color_discrete_sequence=['green'])\n",
   6946     "f2 = px.scatter(x=lorX,y=lorY, color_discrete_sequence=['blue'], size_max=2)\n",
   6947     "f3 = px.scatter(x=invX,y=invY, color_discrete_sequence=['red'], size_max=2)\n",
   6948     "\n",
   6949     "f4 = go.Figure(data=f1.data + f2.data + f3.data)\n",
   6950     "f4.update_layout(xaxis=dict(range=[-10, 10]))\n",
   6951     "f4.update_traces(marker=dict(size=2))\n",
   6952     "f4"
   6953    ]
   6954   }
   6955  ],
   6956  "metadata": {
   6957   "kernelspec": {
   6958    "display_name": ".venv",
   6959    "language": "python",
   6960    "name": "python3"
   6961   },
   6962   "language_info": {
   6963    "codemirror_mode": {
   6964     "name": "ipython",
   6965     "version": 3
   6966    },
   6967    "file_extension": ".py",
   6968    "mimetype": "text/x-python",
   6969    "name": "python",
   6970    "nbconvert_exporter": "python",
   6971    "pygments_lexer": "ipython3",
   6972    "version": "3.11.2"
   6973   }
   6974  },
   6975  "nbformat": 4,
   6976  "nbformat_minor": 2
   6977 }
	machinelearning Machine learning code
	git clone git://git.laack.co/machinelearning.git
	Log \| Files \| Refs