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@NehaAkashDeo
Last active July 28, 2020 13:26
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ipywidgets
pandas
pytrends
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{
"cells": [
{
"cell_type": "code",
"execution_count": 30,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pytrends\n",
"from ipywidgets import interact\n",
"from pytrends.request import TrendReq\n",
"pytrend = TrendReq()\n",
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {
"collapsed": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Please enter keywords to be searched (Separated by Commas)\n",
"\n"
]
},
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "3b23cae3b4cf431cbd0250d66c7bec41",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"interactive(children=(Text(value='India,America', description='kw1'), Output()), _dom_classes=('widget-interac…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"kw_list=[]\n",
"\n",
"def display(kw1):\n",
" global kw_list\n",
" kw_list=kw1.split(\",\")\n",
" return kw1\n",
"\n",
"print(\"Please enter keywords to be searched (Separated by Commas)\\n\")\n",
"kw_list=interact(display, kw1=\"India,America\");"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"pytrend.build_payload(kw_list=kw_list, timeframe='today 5-y', geo='IN')"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Plants Animals isPartial\n",
"date \n",
"2015-08-02 36 76 False\n",
"2015-08-09 35 77 False\n",
"2015-08-16 38 78 False\n",
"2015-08-23 32 75 False\n",
"2015-08-30 34 71 False\n",
"... ... ... ...\n",
"2020-06-21 64 66 False\n",
"2020-06-28 68 70 False\n",
"2020-07-05 67 66 False\n",
"2020-07-12 71 67 False\n",
"2020-07-19 72 68 False\n",
"\n",
"[260 rows x 3 columns]\n"
]
}
],
"source": [
"interest_over_time_df=pytrend.interest_over_time()\n",
"print(interest_over_time_df)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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