Memory Usage of bucakroo

buckaroo-mem-usage.ipynb

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      "0.27\n"
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   "source": [
    "import os, psutil\n",
    "def print_mem_usage():\n",
    "    process = psutil.Process()\n",
    "    GB = 1_073_741_824\n",
    "    print(\"{:0.2f}\".format(\n",
    "        process.memory_info().rss/ GB))  # in giga bytes \n",
    "print_mem_usage()"
   ]
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     "text": [
      "0.50\n"
     ]
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   ],
   "source": [
    "import pandas as pd\n",
    "print_mem_usage()"
   ]
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     "text": [
      "0.50\n"
     ]
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   ],
   "source": [
    "import buckaroo\n",
    "print_mem_usage()"
   ]
  },
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   "cell_type": "code",
   "execution_count": 4,
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     "text": [
      "4.29\n"
     ]
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   ],
   "source": [
    "df = pd.read_parquet('1993-flights.gzip.parquet')\n",
    "print_mem_usage()"
   ]
  },
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   "cell_type": "code",
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     "output_type": "stream",
     "text": [
      "6.60\n"
     ]
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   ],
   "source": [
    "buckaroo.BuckarooWidget(df)\n",
    "print_mem_usage()"
   ]
  },
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   "execution_count": 6,
   "id": "b7c54bf4-de69-40cf-a793-f426eae5408e",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6.74\n"
     ]
    }
   ],
   "source": [
    "buckaroo.BuckarooWidget(df)\n",
    "print_mem_usage()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f04a0004-129f-4aaa-a0aa-38ff5c381775",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.63 s ± 398 ms per loop (mean ± std. dev. of 7 runs, 1 loop each)\n"
     ]
    }
   ],
   "source": [
    "%timeit buckaroo.BuckarooWidget(df)"
   ]
  },
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