一、学习如何定义一个对象
代码:
#!/usr/bin/python # -*- coding: UTF-8 -*- # 1. 定义Person类 class Person: def __init__(self, name, age): self.name = name self.age = age def watch_tv(self): print(f\'{self.name} 看电视\') # 2. 定义loop函数 # 打印 1-max 中的奇数 def test_person(): person = Person(\'Jake\', 20) print(f\'打印person的地址:\', person) print(f\'person.name:{person.name}\') print(f\'person.age:{person.age}\') person.watch_tv() person = Person(\'Koko\', 18) print(f\'打印person的地址:\', person) print(f\'person.name:{person.name}\') print(f\'person.age:{person.age}\') person.watch_tv() # 3. 执行calculate方法 # 计算 当前值小于1,当前值:0 # 计算 1 >= 1: True # 计算 2 >= 1: True # 计算 10 >= 1: True test_person()
执行结果:
二、学习如何连接MySQL并查询
代码块:
#!/usr/bin/python # -*- coding: UTF-8 -*- # pip3 install pymysql import pymysql from getpass import getpass # from mysql.connector import connect, Error # host = \'xxxxxxx\' port = 3306 username = \'db_account_member\' password = \'db_account_password\' database = \'some_database\' def connect_db(): return pymysql.connect(host=host, port=port, user=username, password=password, database=database, charset=\'utf8\') def print_error(e): print(f\'错误类型:{type(e)}\') print(f\'错误内容:{e}\') def close_gracefully(cursor, conn): if cursor: cursor.close() if conn: conn.close() # 查询数据库,可以写任意查询语句 def query(sql): try: conn = connect_db() # 创建连接 cursor = conn.cursor() # 建立游标 cursor.execute(sql) # 执行sql语句 return cursor.fetchall() except pymysql.Error as e: print_error(e) finally: close_gracefully(cursor, conn) query_sql = \'select * from category where id = 1\' rows = query(query_sql) print(\'category表中的数据如下:\') print(rows)
执行结果:
三、学习如何读写csv
代码:
# -*- coding: UTF-8 -*- # 1. 导入csv库 import csv file_name = \'../resources/test.csv\' # 2. 定义headers和rows headers = [\'index\', \'name\', \'sex\', \'height\', \'year\'] rows = [ [1, \'Jake\', \'male\', 177, 20], [2, \'Koko\', \'female\', 165, 18], [3, \'Mother\', \'female\', 163, 45], [4, \'Father\', \'male\', 172, 48] ] # 3. 定义write_csv函数 # 写入csv def write_csv(): print(f\'文件[{file_name}]准备写入\') with open(f\'{file_name}\', \'w\')as f: f_csv = csv.writer(f) f_csv.writerow(headers) f_csv.writerows(rows) print(f\'文件[{file_name}]写入完毕\') # 读取csv def read_csv(): print(f\'文件[{file_name}]准备读取\') with open(f\'{file_name}\')as f: f_csv = csv.reader(f) for row in f_csv: print(row) print(f\'文件[{file_name}]读取完毕\') # 4. 执行write_csv函数 write_csv() print(\'------\') read_csv()
执行结果:
四、读取xlsx
代码:
# -*- coding: UTF-8 -*- # 导引 # 安装相关依赖 # pip3 install xlrd # 引入xlrd去支持读取xls相关的文件 import xlrd # 定义文件名 file_name = \'../resources/sku.xls\' # 1. 读取xls文件 # 预计输出 # sku.xls该文档有 3 个tab页 sku_file = xlrd.open_workbook(file_name) print(\"{0}该文档有 {1} 个tab页\".format(file_name, sku_file.nsheets)) print(\"每个tab页,页名分别为: {0}\".format(sku_file.sheet_names())) # 2. 读取xls文件第1页 # 预计输出 # tab页名:Sheet1,该tab页共有59行,3列 # A6方格的值:1908165140370878 current_sheet_index = 0 # 下标0为第一页tab current_sheet = sku_file.sheet_by_index(current_sheet_index) print(\"tab页名:{0},该tab页共有{1}行,{2}列\".format(current_sheet.name, current_sheet.nrows, current_sheet.ncols)) print(\"A6方格的值:{0}\".format(current_sheet.cell_value(rowx=5, colx=0))) # 3. 打印每页的数据,每一行的数据为一个数组 # 预计输出 # [text:\'1908154975415329\', text:\'鞋面是织物 鞋底是聚氨酯底的哦\', text:\'鞋底是5厘米 内增是3厘米 总高度是8厘米左右哦\'] # [text:\'1908040228021948\', text:\'鞋面是飞织 鞋底是聚氨酯底的哦\', text:\'鞋底高度是3厘米左右哦\'] # ...以下省略后续打印 for rx in range(current_sheet.nrows): print(current_sheet.row(rx))
执行结果:
五、读写PDF
代码:
import platform import pdfkit # 这里根据自己的系统修改对应的wkhtmltopdf安装路径,修改其中一个就行了 win_path = \'D:/tools/wkhtmltopdf\' non_win_path = \'/usr/local/bin/wkhtmltopdf\' def wkhtmltopdf_path(): system = platform.system() if system == \'Darwin\': print(\'苹果系统,可以生成pdf\') path = non_win_path elif system == \'Windows\': print(\'Windows系统,可以生成pdf\') path = win_path elif system == \'Linux系统\': print(\'Linux系统,可以生成pdf\') path = non_win_path else: print(\'其他系统,暂不支持生成pdf\') raise Exception(\'其他系统,暂不支持生成pdf\') return path def pre_config(): return pdfkit.configuration(wkhtmltopdf=wkhtmltopdf_path()) # 从链接地址生成pdf def generate_pdf_from_url(url, output_file_path): config = pre_config() pdfkit.from_url(url, output_file_path) # 从字符串生成pdf def generate_pdf_from_string(str, output_file_path): config = pre_config() pdfkit.from_string(str, output_file_path) generate_pdf_from_url(\'https://baidu.com\', \'../temp/baidu_test.pdf\') generate_pdf_from_string(\'hello\', \'../temp/hello.pdf\')
wkhtmltopdf这个东西一定要装,不然无法生成pdf,会报IO方面的错误,小白照做就可以,不需要理解
执行结果
生成的文件长这个样子
baidu_test.pdf
hello.pdf
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