使用pandas在python中合並兩個字典列表

Question

我有兩個命令列表：一個包含每月數據，另一個包含季度數據，如下所示：

monthly = [
{
    "name": "Boston",
    "month": "2015-May",  
    "total_monthly": 2
}, 
{
    "name": "Boston",
    "month": "2015-June",  
    "total_monthly": 8
}, 
{
    "name": "Chicago",
    "month": "2015-May",  
    "total_monthly": 10
},
{
    "name": "Chicago",
    "month": "2015-June",  
    "total_monthly": 13
}
]

quarterly =[
{
    "name": "Boston",
    "quarter": "2015-Q1",  
    "total_quarterly": 23
}, 
{
    "name": "Boston",
    "quarter": "2015-Q2",  
    "total_quarterly": 24
}, 
{
    "name": "Chicago",
    "quarter": "2015-Q1",  
    "total_quarterly": 40
},
{
    "name": "Chicago",
    "quarter": "2015-Q2",  
    "total_quarterly": 32
}
]

按照慣例，我可以遍歷列表並根據通用名稱合並它們。 但是，如何使用Pandas實現合並數據，如下所示？

merged = [
{
  "name": "Boston",
  "trend_monthly" : [
    {
      "month": "2015-May",  
      "total_monthly": 2
    }, 
    {
      "month": "2015-June",  
      "total_monthly": 8
    },
  ],  
  "trend_quarterly" : [
    {
      "quarter": "2015-Q1",  
      "total_quarterly": 23
    }, 
    {
      "quarter": "2015-Q2",  
      "total_quarterly": 24
    },
  ]
},
{
  "name": "Chicago",
  "trend_monthly" : [
    {
      "month": "2015-May",  
      "total_monthly": 10
    }, 
    {
      "month": "2015-June",  
      "total_monthly": 13
    },
  ],  
  "trend_quarterly" : [
    {
      "quarter": "2015-Q1",  
      "total_quarterly": 40
    }, 
    {
      "quarter": "2015-Q2",  
      "total_quarterly": 32
    },
  ]
}]          

Answer 1

您必須執行以下操作：

import pandas as pd

df_monthly = pd.DataFrame(monthly)
df_quarterly = pd.DataFrame(quarterly)

df = pd.concat([df_monthly, df_quarterly])

# This part does not group correctly, please edit for your needs
result = []
dict_monthly = dict(list(df[df.month.notnull()][['name',
                                                  'month',
                                                  'total_monthly']
                                                ].groupby(by='name')))

dict_quarterly = dict(list(df[df.quarter.notnull()][['name',
                                                  'quarter',
                                                  'total_quarterly']
                                                ].groupby(by='name')))
result.append(dict_monthly)
result.append(dict_quarterly)