feat: 新增技能扩展N6一章相关示例源码
This commit is contained in:
100gle
351
code/newsletter/N6/method_chaining.ipynb
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351
code/newsletter/N6/method_chaining.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"# 链式调用示例"
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],
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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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"outputs": []
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"outputs": [
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{
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"data": {
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"text/plain": " date\n0 2022-01-02\n1 2022-01-09\n2 2022-01-16\n3 2022-01-23\n4 2022-01-30",
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>date</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2022-01-02</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2022-01-09</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2022-01-16</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2022-01-23</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2022-01-30</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 2,
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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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"import pandas as pd\n",
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"\n",
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"data = pd.DataFrame(dict(date=pd.date_range(\"20220101\", \"20220201\", freq=\"1W\")))\n",
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"data.head()"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"outputs": [
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{
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"data": {
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"text/plain": " date year month day year_month\n0 2022-01-02 2022 01 02 202201\n1 2022-01-09 2022 01 09 202201\n2 2022-01-16 2022 01 16 202201\n3 2022-01-23 2022 01 23 202201\n4 2022-01-30 2022 01 30 202201",
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>date</th>\n <th>year</th>\n <th>month</th>\n <th>day</th>\n <th>year_month</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2022-01-02</td>\n <td>2022</td>\n <td>01</td>\n <td>02</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2022-01-09</td>\n <td>2022</td>\n <td>01</td>\n <td>09</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2022-01-16</td>\n <td>2022</td>\n <td>01</td>\n <td>16</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2022-01-23</td>\n <td>2022</td>\n <td>01</td>\n <td>23</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2022-01-30</td>\n <td>2022</td>\n <td>01</td>\n <td>30</td>\n <td>202201</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 3,
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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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"data[\"date\"] = data[\"date\"].astype(str)\n",
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"data[\"year\"] = data[\"date\"].map(lambda s: s.split(\"-\")[0])\n",
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"data[\"month\"] = data[\"date\"].map(lambda s: s.split(\"-\")[1])\n",
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"data[\"day\"] = data[\"date\"].map(lambda s: s.split(\"-\")[2])\n",
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"data[\"year_month\"] = data[\"year\"].str.cat(data[\"month\"])\n",
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"data.head()"
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],
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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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},
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{
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"cell_type": "markdown",
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"source": [
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"## 第一种重构方式"
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],
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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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},
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{
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"cell_type": "code",
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"source": [
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"data = (\n",
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" pd.DataFrame({\"date\": pd.date_range(\"20220101\", \"20220201\", freq=\"1W\")})\n",
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" .astype({\"date\": \"str\"})[\"date\"]\n",
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" .str.split(\"-\", expand=True)\n",
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" .rename(\n",
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" columns={\n",
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" 0: \"year\",\n",
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" 1: \"month\",\n",
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" 2: \"day\",\n",
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" }\n",
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" )\n",
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" .assign(\n",
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" date=lambda df: df.apply(lambda r: \"-\".join(r.tolist()), axis=1),\n",
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" year_month=lambda df: df[\"year\"].str.cat(df[\"month\"]),\n",
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" )\n",
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")\n",
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"data.head()"
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],
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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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"execution_count": 4,
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"outputs": [
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{
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"data": {
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"text/plain": " year month day date year_month\n0 2022 01 02 2022-01-02 202201\n1 2022 01 09 2022-01-09 202201\n2 2022 01 16 2022-01-16 202201\n3 2022 01 23 2022-01-23 202201\n4 2022 01 30 2022-01-30 202201",
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>year</th>\n <th>month</th>\n <th>day</th>\n <th>date</th>\n <th>year_month</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2022</td>\n <td>01</td>\n <td>02</td>\n <td>2022-01-02</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2022</td>\n <td>01</td>\n <td>09</td>\n <td>2022-01-09</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2022</td>\n <td>01</td>\n <td>16</td>\n <td>2022-01-16</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2022</td>\n <td>01</td>\n <td>23</td>\n <td>2022-01-23</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2022</td>\n <td>01</td>\n <td>30</td>\n <td>2022-01-30</td>\n <td>202201</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 4,
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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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},
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{
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"cell_type": "markdown",
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"source": [
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"## 第二种重构方式"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"outputs": [
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{
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"data": {
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"text/plain": " year month day date year_month\n0 2022 01 02 2022-01-02 202201\n1 2022 01 09 2022-01-09 202201\n2 2022 01 16 2022-01-16 202201\n3 2022 01 23 2022-01-23 202201\n4 2022 01 30 2022-01-30 202201",
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>year</th>\n <th>month</th>\n <th>day</th>\n <th>date</th>\n <th>year_month</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2022</td>\n <td>01</td>\n <td>02</td>\n <td>2022-01-02</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2022</td>\n <td>01</td>\n <td>09</td>\n <td>2022-01-09</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2022</td>\n <td>01</td>\n <td>16</td>\n <td>2022-01-16</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2022</td>\n <td>01</td>\n <td>23</td>\n <td>2022-01-23</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2022</td>\n <td>01</td>\n <td>30</td>\n <td>2022-01-30</td>\n <td>202201</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 5,
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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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"data = (\n",
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" pd.DataFrame({\"date\": pd.date_range(\"20220101\", \"20220201\", freq=\"1W\")})\n",
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" .astype({\"date\": \"str\"})[\"date\"]\n",
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" .str.extract(r\"(?P<year>\\d{4})-(?P<month>\\d{2})-(?P<day>\\d{2})\")\n",
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" .assign(\n",
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" date=lambda df: df.apply(lambda row: \"-\".join(row.tolist()), axis=1),\n",
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" year_month=lambda df: df[\"year\"].str.cat(df[\"month\"]),\n",
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" )\n",
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")\n",
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"\n",
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"data.head()"
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],
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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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},
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{
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"cell_type": "markdown",
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"source": [
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"## 第三种重构方式"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"outputs": [
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{
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"data": {
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"text/plain": " date year month day year_month\n0 2022-01-02 2022 01 02 202201\n1 2022-01-09 2022 01 09 202201\n2 2022-01-16 2022 01 16 202201\n3 2022-01-23 2022 01 23 202201\n4 2022-01-30 2022 01 30 202201",
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"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>date</th>\n <th>year</th>\n <th>month</th>\n <th>day</th>\n <th>year_month</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>2022-01-02</td>\n <td>2022</td>\n <td>01</td>\n <td>02</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>1</th>\n <td>2022-01-09</td>\n <td>2022</td>\n <td>01</td>\n <td>09</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>2</th>\n <td>2022-01-16</td>\n <td>2022</td>\n <td>01</td>\n <td>16</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>3</th>\n <td>2022-01-23</td>\n <td>2022</td>\n <td>01</td>\n <td>23</td>\n <td>202201</td>\n </tr>\n <tr>\n <th>4</th>\n <td>2022-01-30</td>\n <td>2022</td>\n <td>01</td>\n <td>30</td>\n <td>202201</td>\n </tr>\n </tbody>\n</table>\n</div>"
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},
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"execution_count": 6,
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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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"data = (\n",
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" pd.DataFrame({\"date\": pd.date_range(\"20220101\", \"20220201\", freq=\"1W\")})\n",
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" .assign(\n",
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" year=lambda df: df[\"date\"].dt.year,\n",
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" month=lambda df: df[\"date\"].dt.month.astype(str).str.zfill(2),\n",
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" day=lambda df: df[\"date\"].dt.day.astype(str).str.zfill(2),\n",
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" year_month=lambda df: df[\"date\"].dt.strftime(\"%Y%m\"),\n",
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" )\n",
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" .astype(str)\n",
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")\n",
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"data.head()"
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],
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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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},
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{
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"cell_type": "markdown",
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"source": [
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"# 链式调用的实现原理以及优劣"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"outputs": [],
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"source": [
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"class Command:\n",
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" def __init__(self, name=None):\n",
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" self.name = name\n",
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"\n",
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" def set_options(self, **kwargs):\n",
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" for k, v in kwargs.items():\n",
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" if not hasattr(self, k):\n",
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" setattr(self, k, v)\n",
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" return self\n",
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"\n",
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" def parse(self):\n",
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" opts = [f\"{v}\" for k, v in self.__dict__.items() if k != \"name\"]\n",
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" final = \" \".join([self.name, *opts])\n",
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" return final\n",
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"\n",
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" def __repr__(self):\n",
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" opts = [f\"{k}={v}\" for k, v in self.__dict__.items() if k != \"name\"]\n",
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" return f\"Command<name: {self.name}, options[{', '.join(opts)}]>\""
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"outputs": [],
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"source": [
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"cmd = Command(\"curl\").set_options(verbose=\"-v\").set_options(target=\"sspai.com\")"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 9,
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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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"Command<name: curl, options[verbose=-v, target=sspai.com]>\n"
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]
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}
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],
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"source": [
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"print(cmd)"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": 10,
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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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"curl -v sspai.com\n"
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]
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}
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],
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"source": [
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"print(cmd.parse())"
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],
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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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},
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{
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"cell_type": "code",
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"execution_count": null,
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"outputs": [],
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"source": [],
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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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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}
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Block a user