preprocessing loop with saving.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from load import test\n",
    "from preprocess import regularts\n",
    "from pickles import pickling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "test.load_apply_save(number_chunks=91,load_prefix=pickling.CHUNK_DF_FILE_PREFIX,save_prefix=pickling.CHUNK_TS_DF_FILE_PREFIX,function=regularts.regularize_dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%%time\n",
    "test.load_apply_save(number_chunks=91,load_prefix=pickling.CHUNK_TS_DF_FILE_PREFIX,save_prefix=pickling.CHUNK_TF_FILE_PREFIX,function=regularts.tensorize_regular_ts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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