utils/preds_buffer.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import time\n",
    "from rich import print"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "5 ms ± 251 µs per loop (mean ± std. dev. of 7 runs, 100 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "df = pd.DataFrame(columns=['pred', 'conf', 'time'])\n",
    "df.loc[-1] = [2, 3, 4]  # adding a row\n",
    "df.index = df.index + 1  # shifting index\n",
    "df = df.sort_index()  # sorting by index\n",
    "\n",
    "df.loc[-1] = [2, 3, 4]  # adding a row\n",
    "df.index = df.index + 1  # shifting index\n",
    "df = df.sort_index()  # sorting by index\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "784 µs ± 42.9 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)\n"
     ]
    }
   ],
   "source": [
    "%%timeit\n",
    "\n",
    "a = [' ']*10\n",
    "\n",
    "for i in range(2):\n",
    "    a.insert(0, 'up')\n",
    "    a.pop()\n",
    "\n",
    "for i in range(5):\n",
    "    a.insert(0, 'down')\n",
    "    a.pop()\n",
    "\n",
    "a.insert(0, 'up')\n",
    "a.pop()\n",
    "a.insert(0, 'and over!')\n",
    "a.pop()\n",
    "\n",
    "pd.DataFrame([a, a])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>hi</th>\n",
       "      <th>hi2</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>and over!</td>\n",
       "      <td>and over!</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>up</td>\n",
       "      <td>up</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>down</td>\n",
       "      <td>down</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>down</td>\n",
       "      <td>down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>down</td>\n",
       "      <td>down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>down</td>\n",
       "      <td>down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>down</td>\n",
       "      <td>down</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>up</td>\n",
       "      <td>up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>up</td>\n",
       "      <td>up</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          hi        hi2\n",
       "0  and over!  and over!\n",
       "1         up         up\n",
       "2       down       down\n",
       "3       down       down\n",
       "4       down       down\n",
       "5       down       down\n",
       "6       down       down\n",
       "7         up         up\n",
       "8         up         up\n",
       "9                      "
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({'hi':a, 'hi2': a})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
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   "cell_type": "code",
   "execution_count": null,
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
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   "source": []
  }
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