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"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"w 是以写的方式打开文件 write\n",
"a 是以追加的方式打开文件 append\n",
"r 是读的方式打开文件 read"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"poem = '\\n让我们一起学习AI python\\n'\n",
"f = open('./test/poem.txt', 'a')\n",
"f.write(poem)\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"让我们一起学习AI python\n",
"\n",
"让我们一起学习AI python\n",
"\n"
]
}
],
"source": [
"f = open('./test/poem.txt', 'r')\n",
"data = f.read()\n",
"print(data)\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"让我们一起学习AI python\n",
"\n",
"让我们一起学习AI python\n",
"\n"
]
}
],
"source": [
"with open('./test/poem.txt', 'r') as f:\n",
" data = f.read()\n",
" print(data)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"readline方法每次读出一行内容，所以读取时占用的内存小，比较适合大文件"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"让我们一起学习AI python\n",
"\n",
"\n",
"\n",
"让我们一起学习AI python\n",
"\n"
]
}
],
"source": [
"f = open('./test/poem.txt', 'r')\n",
"line = f.readline()\n",
"while line:\n",
" print(line)\n",
" line = f.readline()\n",
"f.close()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"readlines方法读取整个文件所有行，保存在一个列表变量中，每行对于列表的一个元素，但是读取大文件会比较占内存"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"让我们一起学习AI python\n",
"\n",
"\n",
"\n",
"让我们一起学习AI python\n",
"\n"
]
}
],
"source": [
"f = open('./test/poem.txt', 'r')\n",
"lines = f.readlines()\n",
"for line in lines:\n",
" print(line)\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"poem = '\\n让我们一起学习AI python\\n'\n",
"f = open('./test/poem.txt', 'w', encoding='utf-8')\n",
"f.write(poem)\n",
"f.close()"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\n",
"\n",
"让我们一起学习AI python\n",
"\n"
]
}
],
"source": [
"f = open('./test/poem.txt', 'r', encoding='utf-8')\n",
"line = f.readline()\n",
"while line:\n",
" print(line)\n",
" line = f.readline()\n",
"f.close()"
]
}
],
"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": "3.6.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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