Python Pandas - 创建 CSV 并添加数据，而不是保存数据

Question

我已经构建了一个程序，它可以进行一些数据分析，然后将其保存到我桌面上的 CSV 文件中。

问题是，我的桌面路径中有我的名字，我不知道使用它的任何其他人的路径（即它不起作用）。

有没有办法打开一个新的 CSV 并将数据插入其中（并让他们保存），而不是程序保存它？

我的代码是：

import pandas as pd
import pyodbc

d=[]

key1 = raw_input('enter a keyword to search for: ')
key2 = raw_input('enter another keyword to search for: ')


conn = pyodbc.connect('DSN=QueryBuilder')
cursor = conn.cursor()

stringQ ="SELECT GrantInformation.GrantRefNumber, GrantInformation.PIName, GrantInformation.Call, GrantInformation.RoutingClassification, GrantInformation.GrantCategory, GrantInformation.AuthorisationDate, GrantInformation.HoldingOrganisationName, GrantInformation.StatusGeneral, GrantInformation.GrantTitle, GrantSummary.Summary, GrantDates.ActualStartDate, GrantDates.ActualEndDate, GrantInformation.TotalGrantValue FROM (GrantInformation LEFT JOIN GrantSummary ON GrantInformation.GrantRefNumber = GrantSummary.GrantRefNumber) LEFT JOIN GrantDates ON GrantInformation.GrantRefNumber = GrantDates.GrantRefNumber WHERE (((GrantInformation.AuthorisationDate)>='2005/4/1') AND ((GrantInformation.StatusGeneral) Like '%auth%') AND ((GrantInformation.GrantTitle) Like '%{}%'AND (GrantInformation.TransferInd)= 'false' OR (GrantInformation.GrantTitle) Like '%{}%') AND ((GrantInformation.TransferInd)= 'false'))  OR (((GrantInformation.AuthorisationDate)>='2005/4/1') AND ((GrantInformation.StatusGeneral) Like '%auth%') AND ((GrantSummary.Summary) Like '%{}%'AND (GrantInformation.TransferInd)= 'false' OR (GrantSummary.Summary) Like '%{}%' AND (GrantInformation.TransferInd)= 'false'));".format(key1,key2,key1,key2)

cursor.execute(stringQ)

rows = cursor.fetchall()



for row in rows:
    d.append({'GrantRefNumber':row[0],'Call':row[2],'Classification':row[3],'Grant Category':row[4],'Authorisation Date':row[5],'Organisation':row[6],'Status General':row[7],'Grant Title':row[8],'Summary':row[9],'Start Date':row[10],'End Date':row[11],'Total Value':row[12]})

df = pd.DataFrame(d)
new_df = df[['GrantRefNumber','Grant Title','Organisation','Call','Grant Category','Authorisation Date','Status General','Total Value','Classification','Start Date','End Date','Summary']]
new_df.to_csv("C:/Users/nicholas/Desktop/data.csv", header=True, index=False, encoding='utf-8')

Answer 1

您可以使用动态路径：

要么保存到您当前的工作目录：

new_df.to_csv("data.csv", header=True, index=False, encoding='utf-8')

或者使用os.getcwd()控制目录：

import os
new_df.to_csv(os.getcwd()+"data.csv", header=True, index=False, encoding='utf-8')