1177 lines
19 KiB
Plaintext
1177 lines
19 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"# 列表"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"## 创建列表"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 172,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# literal\n",
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"numbers = [1, 2, 3, 4, 5]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 173,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"list"
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]
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},
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"execution_count": 173,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(numbers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 174,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3, 4, 5]\n"
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]
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}
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],
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"source": [
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"print(numbers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 175,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# key word\n",
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"alphabet = list(\"abcde\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 176,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"list"
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]
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},
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"execution_count": 176,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(alphabet) # list"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 177,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['a', 'b', 'c', 'd', 'e']\n"
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]
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}
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],
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"source": [
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"print(alphabet)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"## 索引与切片"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 178,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n"
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]
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}
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],
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"source": [
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"idx = alphabet.index(\"c\")\n",
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"print(idx)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 179,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'c'"
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]
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},
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"execution_count": 179,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"alphabet[idx]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 180,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[2, 3, 4]"
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]
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},
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"execution_count": 180,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"numbers[1:4]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 181,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[5]"
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]
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},
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"execution_count": 181,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"numbers[-1:]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"## 常用的列表方法"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 182,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# append\n",
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"others = [7, 8, 9]\n",
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"numbers.append(others)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 183,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 2, 3, 4, 5, [7, 8, 9]]\n"
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]
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}
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],
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"source": [
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"print(numbers)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 184,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# extend\n",
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"others = list(\"fghjk\")\n",
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"alphabet.extend(others)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 185,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j', 'k']\n"
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]
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}
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],
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"source": [
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"print(alphabet)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 186,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# remove\n",
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"alphabet.remove(\"e\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 187,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"['a', 'b', 'c', 'd', 'f', 'g', 'h', 'j', 'k']\n"
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]
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}
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],
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"source": [
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"print(alphabet)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 188,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"2\n"
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]
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}
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],
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"source": [
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"# pop\n",
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"popped = numbers.pop(1)\n",
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"print(popped)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 189,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[1, 3, 4, 5, [7, 8, 9]]\n"
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]
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}
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],
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"source": [
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"print(numbers)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"# 元组"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"## 创建元组"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 190,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# literal\n",
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"auth = (\"MY_ACCOUNT\", \"MY_PASSWORD\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 191,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"tuple"
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]
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},
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"execution_count": 191,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(auth)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 192,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"('MY_ACCOUNT', 'MY_PASSWORD')\n"
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]
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}
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],
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"source": [
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"print(auth)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 193,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# key word\n",
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"database = tuple([\"DB_HOST\", \"DB_PORT\"])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 194,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"tuple"
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]
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},
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"execution_count": 194,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(database)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 195,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"('DB_HOST', 'DB_PORT')\n"
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]
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}
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],
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"source": [
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"print(database)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 196,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"# avoid this !!\n",
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"greet = \"Hello, 100gle\","
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]
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},
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{
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"cell_type": "code",
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"execution_count": 197,
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"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
|
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"tuple"
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]
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},
|
|
"execution_count": 197,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"type(greet)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 198,
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|
"metadata": {
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"collapsed": false,
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [
|
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
|
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"('Hello, 100gle',)\n"
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]
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}
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],
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"source": [
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"print(greet)"
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]
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},
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{
|
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"cell_type": "markdown",
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|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
|
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"# 字典"
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]
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},
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{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
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"source": [
|
|
"## 创建字典"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 199,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"{ 'account_stats': [1000, 10000, 100000],\n",
|
|
" 'greet': 'Hello, sspai!',\n",
|
|
" 'name': '100gle',\n",
|
|
" 'personal_info': {'gender': 'male', 'slogan': '自律即自由'}}\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# literal\n",
|
|
"info = {\n",
|
|
" \"name\": \"100gle\",\n",
|
|
" \"personal_info\": {\"slogan\": \"自律即自由\", \"gender\": \"male\"},\n",
|
|
" \"greet\": \"Hello, world!\",\n",
|
|
" \"greet\": \"Hello, sspai!\",\n",
|
|
" \"account_stats\": [1000, 10000, 100000],\n",
|
|
"}\n",
|
|
"from pprint import pprint\n",
|
|
"\n",
|
|
"pprint(info, indent=2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 200,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"# keyword\n",
|
|
"info = dict(\n",
|
|
" name=\"100gle\",\n",
|
|
" personal_info=dict(slogan=\"自律即自由\", gender=\"male\"),\n",
|
|
" greet=\"Hello, sspai!\",\n",
|
|
" account_stats=[1000, 10000, 100000],\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"## 索引与键值迭代"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 201,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'100gle'"
|
|
]
|
|
},
|
|
"execution_count": 201,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"info[\"name\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 202,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[1000, 10000, 100000]"
|
|
]
|
|
},
|
|
"execution_count": 202,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"info.get(\"account_stats\") # [1000, 10000, 100000]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 203,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"None\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"ret = info.get(\"address\") # None\n",
|
|
"print(ret)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 204,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"'Not Found'"
|
|
]
|
|
},
|
|
"execution_count": 204,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"info.get(\"address\", \"Not Found\") # return \"Not Found\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 205,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"dict_keys(['name', 'personal_info', 'greet', 'account_stats'])\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"keys = info.keys()\n",
|
|
"print(keys)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 206,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"dict_values(['100gle', {'slogan': '自律即自由', 'gender': 'male'}, 'Hello, sspai!', [1000, 10000, 100000]])\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"values = info.values()\n",
|
|
"print(values)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 207,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"dict_items([('name', '100gle'), ('personal_info', {'slogan': '自律即自由', 'gender': 'male'}), ('greet', 'Hello, sspai!'), ('account_stats', [1000, 10000, 100000])])\n",
|
|
"name: 100gle\n",
|
|
"personal_info: {'slogan': '自律即自由', 'gender': 'male'}\n",
|
|
"greet: Hello, sspai!\n",
|
|
"account_stats: [1000, 10000, 100000]\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"items = info.items()\n",
|
|
"print(items)\n",
|
|
"for k, v in items:\n",
|
|
" print(f\"{k}: {v}\")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"# 集合"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"## 创建集合"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 208,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dict"
|
|
]
|
|
},
|
|
"execution_count": 208,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# dict default literal\n",
|
|
"d = {}\n",
|
|
"type(d)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 209,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"dict"
|
|
]
|
|
},
|
|
"execution_count": 209,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# dict literal\n",
|
|
"d2 = {1: 2, 3: 4}\n",
|
|
"type(d2)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 210,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"set"
|
|
]
|
|
},
|
|
"execution_count": 210,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# set literal\n",
|
|
"s = {1, 2}\n",
|
|
"type(s)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 211,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"set()\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"# key word\n",
|
|
"s = set()\n",
|
|
"type(s)\n",
|
|
"print(s)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%% md\n"
|
|
}
|
|
},
|
|
"source": [
|
|
"## 交集、并集和差集"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 212,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"numbers = {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}\n",
|
|
"odds = {1, 3, 5, 7, 9}\n",
|
|
"evens = {2, 4, 6, 8, 10}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 213,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"True"
|
|
]
|
|
},
|
|
"execution_count": 213,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# union\n",
|
|
"odds.union(evens) == numbers"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 214,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{1, 3, 5, 7, 9}"
|
|
]
|
|
},
|
|
"execution_count": 214,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# intersection\n",
|
|
"numbers.intersection(odds)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 215,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"{2, 4, 6, 8, 10}"
|
|
]
|
|
},
|
|
"execution_count": 215,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# difference\n",
|
|
"numbers.difference(odds)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 215,
|
|
"metadata": {
|
|
"collapsed": false,
|
|
"pycharm": {
|
|
"name": "#%%\n"
|
|
}
|
|
},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 2
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython2",
|
|
"version": "2.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
|
}
|