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pandas-ta/pandas_ta/Untitled.ipynb
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2020-05-28 17:50:26 +02:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [],
"source": [
"import pandas_ta as ta"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('/virt/admin/Fic_entree/Dwx-NDXH8.csv', sep=',', header=None)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
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"source": [
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{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"df.columns=['date', 'time', 'open', 'high', 'low', 'close', 'ticks']"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
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" STOCHFk_14 STOCHFd_3 STOCHk_3 STOCHd_3\n",
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"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
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"source": [
"df.ta.stoch(df['high'], df['low'], df['close'], 14,3,3, append = True)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Index(['date', 'time', 'open', 'high', 'low', 'close', 'ticks', 'STOCHFk_14',\n",
" 'STOCHFd_3', 'STOCHk_3', 'STOCHd_3'],\n",
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" date time open high low close ticks STOCHFk_14 \\\n",
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"\n",
" STOCHFd_3 STOCHk_3 STOCHd_3 \n",
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"\n",
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},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"ename": "AttributeError",
"evalue": "module 'pandas_ta' has no attribute 'ha'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)",
"\u001b[0;32m<ipython-input-24-c6639b8e7a6b>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mhelp\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mta\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mha\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
"\u001b[0;31mAttributeError\u001b[0m: module 'pandas_ta' has no attribute 'ha'"
]
}
],
"source": [
"help(ta.ha)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
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