使用bs4或其他过滤JSON，并使用openpyxl在excel中组织

Question

我想从pool.pm中过滤一个json文件

例如，https://pool.pm/wallet/$1111我想获得所有的"policy"以及它重复的次数并使用openpyxl在excel中组织它并在第一列中设置策略在第二列中设置重复的次数

What I have:

import openpyxl
import json
import requests
from bs4 import BeautifulSoup

pooladd = str(input("Insira o address:t"))
api_pool = "https://pool.pm/wallet/{}"
api_pool2 = api_pool.format(pooladd)
data = requests.get(api_pool2).json()

输出:

tbody> <<tr>

Policy	How Many
f0ff48bbb7bbe9d59a40f1ce90e9e9d0ff5002ec48f232b49ca0fb9a	10
8728079879 ce4304fd305b12878e0fcea3b8a3a5435a21b5dec35a11	3

另一个实现!，注释被添加到代码中。创建字典，然后编写excel。

import openpyxl
import json
import requests
from bs4 import BeautifulSoup
pooladd = str(input("Insira o address:t"))
api_pool = "https://pool.pm/wallet/{}"
api_pool2 = api_pool.format(pooladd)
data = requests.get(api_pool2).json()
policies= [e_tkn['policy'] for e_tkn in data['tokens']]
unique_policies=set(policies)
result={}
for each_policy in unique_policies:
result[each_policy]=policies.count(each_policy)
result=sorted(((value,key) for (key,value) in result.items()),reverse=True)# sort in decending order, reverse=True
print(result)
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
ws['A1'] = 'Policy' # header
ws['B1'] = 'How Many' # header
row=2
for count,policy in result:
ws['A' + str(row)]=policy # for each row, for example A2=policy
ws['B' + str(row)]=count # for each row , for example B2 = count
row=row+1

wb.save('policies.xlsx')

我没有看到pandas标签，但如果你感兴趣，这里有一个value_counts的方法:

#pip install pandas
import pandas as pd
out = (
pd.Series([t["policy"] for t in data["tokens"]])
.value_counts()
.to_frame("How Many")
.reset_index(names="Policy")
)

如果你想做一个Excel电子表格，使用pandas.DataFrame.to_excel:

out.to_excel("output_file.xlsx", sheet_name="test_name", index=False)

#输出:

print(out)
Policy  How Many
0  f0ff48bbb7bbe9d59a40f1ce90e9e9d0ff5002ec48f232b49ca0fb9a        10
1  8728079879ce4304fd305b12878e0fcea3b8a3a5435a21b5dec35a11         3