Untitled.ipynb · liujialiang970207/LaTeX_OCR_PRO

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{
 "cells": [
 {
 "cell_type": "code",
 "execution_count": 4,
 "metadata": {},
 "outputs": [],
 "source": [
 "import os\n",
 "import pyecharts"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 5,
 "metadata": {},
 "outputs": [],
 "source": [
 "import pyecharts.options as opts\n",
 "from pyecharts.charts import Line"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 1,
 "metadata": {},
 "outputs": [],
 "source": [
 "formula_file_path = 'data/full/formulas/train.formulas.norm.txt'"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 3,
 "metadata": {},
 "outputs": [],
 "source": [
 "with open(formula_file_path) as f:\n",
 " lines = f.readlines()"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 10,
 "metadata": {},
 "outputs": [],
 "source": [
 "xy = {}\n",
 "for i in lines:\n",
 " for j in i.split(' '):\n",
 " if j not in xy:\n",
 " xy[j] = 1\n",
 " else:\n",
 " xy[j] += 1"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 32,
 "metadata": {},
 "outputs": [
 {
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 },
 "execution_count": 32,
 "metadata": {},
 "output_type": "execute_result"
 }
 ],
 "source": [
 "sorted(xy.items(), key=lambda x: x[1], reverse=True)"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 27,
 "metadata": {},
 "outputs": [],
 "source": [
 "x = []\n",
 "y = []\n",
 "for i in sorted(xy.items(), key=lambda x: x[1], reverse=True):\n",
 " x.append(i[0])\n",
 " y.append(i[1])"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 40,
 "metadata": {},
 "outputs": [
 {
 "data": {
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 "</script>\n",
 "\n",
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 "\n",
 "\n",
 "<script>\n",
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 " var option_32e4caf85aa5491f8a9adbf39c6cf147 = {\n",
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 " });\n",
 "</script>\n"
 ],
 "text/plain": [
 "<pyecharts.render.display.HTML at 0x7f8075c952e8>"
 ]
 },
 "execution_count": 40,
 "metadata": {},
 "output_type": "execute_result"
 }
 ],
 "source": [
 "l = Line()\n",
 "l.add_xaxis(x[:20])\n",
 "l.add_yaxis(\"数量\", y[:20])\n",
 "l.set_global_opts(title_opts=opts.TitleOpts(title=\"公式符号统计\"))\n",
 "l.render_notebook()"
 ]
 },
 {
 "cell_type": "code",
 "execution_count": 37,
 "metadata": {},
 "outputs": [
 {
 "data": {
 "text/html": [
 "<div align='center' style='width:100%'><div align='center' style='text-align:justify; border-radius: 25px;background: #fff7f7;overflow: auto; width:500px !important; padding:20px; '; text-align: center; word-wrap: break-word;> alpha&nbsp; infty&nbsp; ln&nbsp; sum&nbsp; left&nbsp; leq&nbsp; tilde&nbsp; biggl&nbsp; ast&nbsp; ell&nbsp; theta&nbsp; xi&nbsp; pi&nbsp; dagger&nbsp; displaystyle&nbsp; otimes&nbsp; underline&nbsp; beta&nbsp; bigg&nbsp; prime&nbsp; prod&nbsp; quad&nbsp; delta&nbsp; gamma&nbsp; varepsilon&nbsp; exp&nbsp; kappa&nbsp; right&nbsp; lim&nbsp; mathbf&nbsp; mathrm&nbsp; cdots&nbsp; bf&nbsp; sim&nbsp; qquad&nbsp; cdot&nbsp; sqrt&nbsp; chi&nbsp; wedge&nbsp; lambda&nbsp; log&nbsp; bigr&nbsp; epsilon&nbsp; sinh&nbsp; dag&nbsp; phi&nbsp; tau&nbsp; begin&nbsp; widetilde&nbsp; int&nbsp; sin&nbsp; stackrel&nbsp; frac&nbsp; big&nbsp; hat&nbsp; mu&nbsp; rho&nbsp; rangle&nbsp; nu&nbsp; bigl&nbsp; widehat&nbsp; end&nbsp; bar&nbsp; vec&nbsp; zeta&nbsp; mathcal&nbsp; mid&nbsp; nabla&nbsp; perp&nbsp; to&nbsp; ldots&nbsp; matrix&nbsp; in&nbsp; partial&nbsp; overline&nbsp; dot&nbsp; biggr&nbsp; simeq&nbsp; array&nbsp; times&nbsp; vert&nbsp; geq&nbsp; cal&nbsp; varphi&nbsp; psi&nbsp; langle&nbsp; hbar&nbsp; det&nbsp; dots&nbsp; rightarrow&nbsp; cosh&nbsp; pm&nbsp; eta&nbsp; cos&nbsp; sigma&nbsp; equiv&nbsp; approx&nbsp; star&nbsp; mp&nbsp; omega&nbsp;</div></div>"
 ],
 "text/plain": [
 "<IPython.core.display.HTML object>"
 ]
 },
 "execution_count": 37,
 "metadata": {},
 "output_type": "execute_result"
 }
 ],
 "source": [
 "from word_cloud.word_cloud_generator import WordCloud\n",
 "from IPython.core.display import HTML\n",
 "\n",
 "wc=WordCloud(use_tfidf=False)\n",
 "\n",
 "embed_code=wc.get_embed_code(text=lines)\n",
 "HTML(embed_code)\n"
 ]
 }
 ],
 "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": "3.6.8"
 }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

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提交于 2019-08-22 22:55 . show config

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