Python从for循环打印到excel或csv

我一直致力于此代码：

Section = {'East':['Alan','Bob'],
           'North':['Alan','Michael'],
           'South':['Tom'],
           'West':['Bob','Michael','Tom']}
Name = {'Alan':['Subaru','Chevvy','Honda'],
        'Bob':['Toyota','Honda','Camry'],
        'Michael':['Camry','Ford'],
        'Tom':['Ford','Toyota']}
Inventory = {'East':['Toyota','Honda','Camry'],
             'North':['Ford','Chevvy','Ferrari','Subaru'],
             'South':['Subaru','Acura','Lexus','BMW'],
             'West':['Ford','Subaru','Camry']}



for name,sections in Section.items():
    for section in sections:
        haveInventory = Name[name]
        needInventory = Inventory[section]
        
        for inventory in needInventory:
            if inventory not in haveInventory:
                print(str(name) + ' ' + str(section) + ' ' + str(inventory))

不确定是什么，但代码没有运行

如何以以下格式将结果导出到excel或csv文件： 艾伦东凯美瑞 阿兰东本田 汤姆南斯巴鲁

---

我改变了这两行：

for name,sections in Section.items():
    for section in sections:

To


for sections,names in Section.items():
    for name in names:

---

---

看看这个：

for name,sections in Section.items(): # ('East', ['Alan','Bob'])
    for section in sections:
        haveInventory = Name[name] # Name['East'] Causes error
        needInventory = Inventory[section]

---

正如您所看到的，在那个特定的迭代中，您试图从字典

'haveInventory'

中获取键

'East'

的值，但该字典没有该键。

它没有运行，因为这对项将是section、name，而不是name、sections，例如

'East'、['Alan'、'Bob']

。。。因此，当您在其他词典中查找时，您正在查找

名称['East']

（关键错误），

库存['Alan']

（关键错误）…代码不运行这意味着什么？如何将结果导出到excel或csv文件？问题到底是什么？你有没有研究过如何用Python编写CSV文件？请看，谢谢。这正是我要找的。不知道如何用panda dataframe解析结果以打印出来。我很高兴听到这个消息。注意：如果数据集太大，以这种方式保存可能会导致内存错误。最好逐行保存。如何逐行保存数据？-nvm，我看到下面的代码和逐行指令。谢谢：）你可以从Pygirl那里查看下面的答案。另外，请查看此帖子stackoverflow.com/questions/8078330/csv-writing-in-loop。如果需要，您还可以在保存csv文件时添加时间戳。这几乎与Pygirl相同，唯一的区别是csv名称中有时间戳（以防您需要它或希望防止覆盖现有文件）。

Section = {'East': ['Alan', 'Bob'],
           'North': ['Alan', 'Michael'],
           'South': ['Tom'],
           'West': ['Bob', 'Michael', 'Tom']}
Name = {'Alan': ['Subaru', 'Chevvy', 'Honda'],
        'Bob': ['Toyota', 'Honda', 'Camry'],
        'Michael': ['Camry', 'Ford'],
        'Tom': ['Ford', 'Toyota']}
Inventory = {'East': ['Toyota', 'Honda', 'Camry'],
             'North': ['Ford', 'Chevvy', 'Ferrari', 'Subaru'],
             'South': ['Subaru', 'Acura', 'Lexus', 'BMW'],
             'West': ['Ford', 'Subaru', 'Camry']}

import pandas as pd
result=pd.DataFrame()
NAME = []
SECTION = []
INVENTORY = []
for section, names in Section.items():
    for name in names:
        haveInventory = Name[name]
        needInventory = Inventory[section]

        for inventory in needInventory:
            if inventory not in haveInventory:
                print(str(name) + ' ' + str(section) + ' ' + str(inventory))
                NAME.append(name)
                SECTION.append(section)
                INVENTORY.append(inventory)

data = {'Name': NAME, 'Section': SECTION, 'inventory': INVENTORY}
result = pd.DataFrame(data, columns=['Name', 'Section', 'inventory'])
result.to_csv('result.csv')

for name,sections in Section.items(): # ('East', ['Alan','Bob'])
    for section in sections:
        haveInventory = Name[name] # Name['East'] Causes error
        needInventory = Inventory[section]

Section = {'East': ['Alan', 'Bob'],
           'North': ['Alan', 'Michael'],
           'South': ['Tom'],
           'West': ['Bob', 'Michael', 'Tom']}
Name = {'Alan': ['Subaru', 'Chevvy', 'Honda'],
        'Bob': ['Toyota', 'Honda', 'Camry'],
        'Michael': ['Camry', 'Ford'],
        'Tom': ['Ford', 'Toyota']}
Inventory = {'East': ['Toyota', 'Honda', 'Camry'],
             'North': ['Ford', 'Chevvy', 'Ferrari', 'Subaru'],
             'South': ['Subaru', 'Acura', 'Lexus', 'BMW'],
             'West': ['Ford', 'Subaru', 'Camry']}

import pandas as pd
result=pd.DataFrame()
NAME = []
SECTION = []
INVENTORY = []
for section, names in Section.items():
    for name in names:
        haveInventory = Name[name]
        needInventory = Inventory[section]

        for inventory in needInventory:
            if inventory not in haveInventory:
                print(str(name) + ' ' + str(section) + ' ' + str(inventory))
                NAME.append(name)
                SECTION.append(section)
                INVENTORY.append(inventory)

data = {'Name': NAME, 'Section': SECTION, 'inventory': INVENTORY}
result = pd.DataFrame(data, columns=['Name', 'Section', 'inventory'])
result.to_csv('result.csv')

from time import gmtime, strftime, time
import csv
current_time = strftime("%Y-%m-%d_%H-%M-%S", gmtime())


with open('result_'+ current_time + '.csv','w') as f1:
    writer = csv.writer(f1, delimiter='\t',lineterminator='\n',)
    for section, names in Section.items():
        for name in names:
            haveInventory = Name[name]
            needInventory = Inventory[section]

            for inventory in needInventory:
                if inventory not in haveInventory:
                    print(str(name) + ' ' + str(section) + ' ' + str(inventory))
                    writer.writerow([str(name) + ' ' + str(section) + ' ' + str(inventory)])