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gists/repos/fe50181db5cd40f13ef70fbf33c7ddb5/descarga.ipynb

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2018-10-11 14:12:07 +00:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"!bitter tweet get_all lista-tweets.csv"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import os"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"df = pd.read_csv('untitled.txt', names=['id', 'label'])"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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"<div>\n",
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"\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>label</th>\n",
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" <td>631659865748860929</td>\n",
" <td>ironic</td>\n",
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" <th>1</th>\n",
" <td>602202801092038656</td>\n",
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"text/plain": [
" id label\n",
"0 631659865748860929 ironic\n",
"1 602202801092038656 ironic"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"get_text(631659865748860929)"
]
},
{
"cell_type": "code",
"execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import os\n",
"\n",
"def get_text(tweetid):\n",
" tweetfile = 'tweets/{}.json'.format(tweetid)\n",
" if not os.path.exists(tweetfile):\n",
" return \"\"\n",
" return json.load(open(tweetfile))['text']"
]
},
{
"cell_type": "code",
"execution_count": 31,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Uy que emoción! #sarcasmo #noquiero #yatienesuno :( @Cris_baoc https://t.co/Roe4H1D4d6'"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"get_text(631659865748860929)"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {},
"outputs": [],
"source": [
"df['text'] = df['id'].apply(get_text)"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {},
"outputs": [
{
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"<table border=\"1\" class=\"dataframe\">\n",
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" <td>Uy que emoción! #sarcasmo #noquiero #yatienesu...</td>\n",
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"text/plain": [
" id label \\\n",
"0 631659865748860929 ironic \n",
"1 602202801092038656 ironic \n",
"\n",
" text \n",
"0 Uy que emoción! #sarcasmo #noquiero #yatienesu... \n",
"1 "
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"data": {
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"<table border=\"1\" class=\"dataframe\">\n",
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"text/plain": [
" id label \\\n",
"0 631659865748860929 ironic \n",
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" text \n",
"0 Uy que emoción! #sarcasmo #noquiero #yatienesu... "
]
},
"execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df[df['text'] != \"\"]"
]
},
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"metadata": {},
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}
],
"metadata": {
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