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71 lines
1.3 KiB
71 lines
1.3 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"import sys\n",
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"sys.path.append('../../Scripts')\n",
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"from preprocess_daily import DailyPreprocessor\n",
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"from generate_signals import SignalGenerator"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from preprocess_daily import DailyPreprocessor\n",
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"\n",
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"dp = DailyPreprocessor()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'c:\\\\Github\\\\snits_siggen\\\\Data\\\\tables'"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"dp.path_tables"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "ta",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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