greater_tables_project/gt-testers.ipynb

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   "source": [
    "# Greater Tables Testers\n",
    "\n",
    "pyarrow stuff...\n",
    "\n",
    "## Provenance\n",
    "* Created new: 2025-06-06"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f733e11c-9165-4bb8-9dc5-a4ba0c6b556a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from greater_tables.core_old import GT\n",
    "import greater_tables.utilities as gtu\n",
    "import greater_tables.fabrications as gtf\n",
    "from pathlib import Path\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dfa32d92-e4c3-430f-b5be-9f8ab3cb74b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "# make some random dataframes\n",
    "fab = gtf.Fabricator(pyarrow=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa6fd1eb-1a20-4400-845f-8aa7567ad25e",
   "metadata": {},
   "outputs": [],
   "source": [
    "for _ in range(10):\n",
    "    display(GT(fab.random().head(10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "46147a8a-5c8a-47ad-a5af-36733fadf64b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = dict(zip('ABCDE', [fab.random().head(10) for _ in range(5)]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5ae6e5af-ee7d-4917-851e-2174c772ea6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "p = Path('\\\\s\\\\appdata\\\\archivum\\\\libraries\\\\silly-library')\n",
    "ps = list(p.glob('*.feather'))\n",
    "ps"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bdb7f70c-e90a-45db-b26b-93a624d7ef2c",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfs = {f.name: pd.read_feather(f, dtype_backend='pyarrow') for f  in ps}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "547176b4-ad8d-419a-baa9-caa725e746a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "for v in dfs.values(): print(v.dtypes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1224b554-c80e-4ca4-a34a-b51bdf41ec07",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k, v in dfs.items():\n",
    "    display(GT(v.head(20), caption=k, show_index=False))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "01f627b5-22b9-45d1-9833-0afdc497fd7e",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfm = gtt.make_manual_tests()\n",
    "for d in dfm:\n",
    "    display(GT(d))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "86032085-3794-4af9-bfd8-5357af200196",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = gtt.make_test_dataframe(8, 5)\n",
    "f = GT(df, max_table_width=50)\n",
    "f"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1f4ae417-7ed0-45f7-9da4-79ec3667f96a",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = GT(df, max_table_width=40)\n",
    "print(f._repr_latex_())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a32a477-dd08-4f42-92e1-63c91557907d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "871ef69a-6cc6-4f3f-a766-8a4cf4291c85",
   "metadata": {},
   "source": [
    "# HTML"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc15f2fe-58e9-4618-9dcf-ab9dcdfa3302",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k, v in ts.items():\n",
    "    display(GT(v.head(), show_index=True, max_table_width=80, debug=False, caption=k))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "945f2bb9-9295-498a-a724-f367ce742533",
   "metadata": {},
   "source": [
    "# LaTeX Mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51858d09-c98f-4675-a61c-c7a839f75686",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k, v in ts.items():\n",
    "    print(GT(v.head(), show_index=True, max_table_width=80, debug=False, caption=k).make_tikz())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa56eb4d-7b08-4225-9a64-c465905e87b9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "125b0cff-f248-4864-90e6-d8bdf84b603c",
   "metadata": {},
   "source": [
    "# Text Mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5a9dda81-8334-4f9f-ab2c-358228c4d936",
   "metadata": {},
   "outputs": [],
   "source": [
    "for k, v in ts.items():\n",
    "    # if k != 'multiindex': continue\n",
    "    cw_target = 80\n",
    "    input_target = cw_target - 4 * v.shape[1]\n",
    "    print(f'{cw_target = } and {input_target = }')\n",
    "    f = (GT(v.head(), show_index=True, max_table_width=80 - 4 * v.shape[1], debug=True))\n",
    "    sc.analysis(f)\n",
    "    # break\n",
    "    print('=*'*80)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc2dc152-16fc-4782-896f-3b92ceddc5bb",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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