description # 获取连接对象的描述信息 columnNames = [columnDes[i][0] for i in range(len(columnDes))] df = pd.DataFrame([list(i) for i in data], columns=columnNames) cur.close() conn.close() return df except Exception as e: data = ("error with sql", sql, e) return data #...
目录 收起 简介 环境搭建 时间序列 Agent 大型DataFrame 结论 原文地址:towardsdatascience.com/ 简介 Agents 是由大语言模型(LLMs)驱动的 AI 系统,能够围绕目标进行推理并采取行动以实现最终目的。它们不仅仅用于回答问题,还可以编排一系列操作,包括处理数据(如数据框和时间序列)。这种能力为实现数据分析的普及打...
df.info() <class 'pandas.core.frame.DataFrame'> RangeIndex: 6040 entries, 0 to 6039 Data columns (total 5 columns): UserID 6040 non-null int64 Gender 6040 non-null object Age 6040 non-null int64 Occupation 6040 non-null int64 Zip-code 6040 non-null object dtypes: int64(3), object(2...
25:"SMTP (Simple Mail Transfer Protocol) - Used for email transmission", 23:"Telnet - Used for remote terminal access", 53:"DNS (Domain Name System) - Used for domain name resolution", 110:"POP3 (Post Office Protocol version 3) - Used fo...
(column1,column2,columnn) select value1,value2,valuen from 源表名 比如: insert into student (name, classs_name,create_date) select student_name as name, class_name, now() from class_table; # 获取当前时间 now() select now() # 删除 DELETE FROM table_name [WHERE Clause] # 增加字段...
import pandas as pd df = pd.DataFrame(pd.read_excel('test.xlsx', engine='openpyxl')) print(df.info()) RangeIndex: 6 entries, 0 to 5 Data columns (total 6 columns): # Column Non-Null Count Dtype 0 id 6 non-null int64 1 date 6 non-null datetime64[ns] 2 city 6 non-null obje...
Python in Excel cell, Python statements do the same thing—they calculate from top to bottom. But in a Python in Excel worksheet, Python cells calculate in row-major order. The cell calculations run across a row (from columnAto columnXFD), and then across each following row down the ...
Subtracting a single value from column of pandas DataFrame For this purpose, we will simply use the square brackets to access that particular column and modify this column by subtracting 7 from each value of this column. Let us understand with the help of an example, ...
We can access the column names in a pandas dataframe using the ‘columns’ attribute. The ‘columns’ attribute, when invoked on a dataframe object, returns an Index object. You can observe this in the following example. import pandas as pd ...
likedf.rename(columns=col_mapping)Typing all the column names can be an error prone task. A simple trick is to copy all the columns in excel and usepd.read_clipboard()to build a small DataFrame and turn the columns into a dictionary. I can then manually type in the new names, if ...