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将数据从 Python 列表和字典写入 CSV

[英]Writing data from a Python List and a Dictionary to CSV

Assume mydict is unique based on each list item:假设mydict基于每个列表项是唯一的:

 mylist = ['li1', 'li2']
 mydict =  {'key1': 'value1','key2': 'value2','key3': 'value3}

I want to write this stracture in a CSV file:我想把这个结构写在CSV文件中:

ListItem, key1, key2, key3
li1, value1, value2, value3
li2, value1, value2, value3

This is a sample of how I try to do this;这是我如何尝试执行此操作的示例; but my code overwrites the first line with each iteration, and I do not know how to write the list item in the first column.但是我的代码每次迭代都会覆盖第一行,而且我不知道如何在第一列中编写列表项。 Could you give me a hand, please?你能帮我一下吗?

import pandas as pd
import random


def CreateDict(li):
    dict = {}
    dict['x'] = random.randrange(1, li)  #25
    dict['y'] = random.randrange(1, li)  #27
    print(dict)
    return dict

mylist = [10, 20, 30]
for li in mylist:
    mydict = CreateDict(li)
    df = pd.DataFrame([mydict])
    df.to_csv('test.csv', index=False)

I get this as an output:我得到的是 output:

x,y
25,27

Let's try dict.fromkeys to generate data dictionary, then create a dataframe from this data dictionary and use DataFrame.to_csv to save as a csv file:让我们试试dict.fromkeys生成数据字典,然后从这个data字典创建一个 dataframe 并使用DataFrame.to_csv保存为csv文件:

data = dict.fromkeys(mylist, mydict)
pd.DataFrame(data).T.rename_axis('ListItem').to_csv('foo.csv')

EDIT: If you would like to create unique dictionary per item in mylist you can use:编辑:如果您想为mylist中的每个项目创建唯一的字典,您可以使用:

data = {li:CreateDict(li) for li in mylist}
pd.DataFrame(data).T.rename_axis('ListItem').to_csv('foo.csv')

# foo.csv

ListItem,key1,key2,key3
li1,value1,value2,value3
li2,value1,value2,value3

Working on your existing solution:使用您现有的解决方案:

import pandas as pd
import random


def CreateDict(li):
    dict = {}
    dict['x'] = random.randrange(1, li)  #25
    dict['y'] = random.randrange(1, li)  #27
    print(dict)
    return dict

mylist = [10, 20, 30]
df=pd.DataFrame(columns=['x', 'y'])
for li in mylist:
    mydict = CreateDict(li)
    df=pd.concat([df, pd.DataFrame([mydict])])

df['mylist']=mylist
result=df[['mylist', 'x', 'y']]
result.to_csv('test.csv', index=False)

Output: Output:

mylist  x  y
   10   6  3
   20   8  2
   30   7  4

First of all you should create a dictionary outside the function, add items in loop and write only at the end.首先你应该在 function 之外创建一个字典,在循环中添加项目并且只在最后写入。 With your code you're writing 3 times the same file and you see only the last row.使用您的代码,您正在编写同一个文件的 3 次,并且您只看到最后一行。

For index you should set index=True.对于索引,您应该设置 index=True。

Here the code.这是代码。 Hope I help you!希望我能帮到你!

import pandas as pd
import random

my_dict = {
    'key1':[],
    'key2':[],
    'key3':[]
}

def AddToDict(li):
    my_dict['key1'].append(random.randrange(1, li))
    my_dict['key2'].append(random.randrange(1, li))
    my_dict['key3'].append(random.randrange(1, li))

mylist = [10, 20, 30]
for li in mylist:
    AddToDict(li)

df = pd.DataFrame(my_dict)  # Here
df.to_csv('test.csv', index=True)

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