prefertea的博客

首先安装包pip install pandaspip install sqlalchemypip install pymysql初始化数据库连接：import pandas as pdfrom sqlalchemy import create_engine# 初始化数据库连接# 按实际情况依次填写MySQL的用户名、密码、IP地址、端口、数据库名engine = create_engine('mysql+pymysql://root:12345678@localhost:3306

import pandas as pddf = pd.DataFrame({'性别' : ['男', '女', '男', '女', '男', '女', '男', '男'], '成绩' : ['优秀', '优秀', '及格', '差', '及格', '及格', '优秀', '差'], '年龄' : [15,14,15,12,13,14,15,16]})print(df) 性别 成绩 年龄0 男 优秀 151 女 优秀 1.

import pandas as pdimport randomimport numpy as npimport os ## data = [10, 20, 30, 40, 50, 60]# df = pd.DataFrame({'Heading': data,# 'Longer heading that should be wrapped' : data})df = pd.DataFrame(np.arange(16).reshape(4,4).

import datetimedef PowerSetsBinary(items):#1，二进制方法 N = len(items) # generate all combination of N items # enumerate the 2**N possible combinations res=[] for i in range(2 ** N):...

不多说看代码：import pandas as pdimport numpy as npdf = pd.DataFrame(np.random.randn(5,4))df1 = pd.DataFrame(np.random.randn(3,4))df2 = pd.DataFrame(np.random.randn(3,4))print(df)print(df.iloc[0:3,:])...

import pandas as pddata = {"number":[1,1,np.nan,np.nan,2,2,1,2,2], "letter":['a','b',np.nan,np.nan,'c','d','b','c','d'], "label":[1,1,9,9,2,2,1,2,2],"label2":[33,12,9,9,2,2,1,2,2]}d...