如何将大型嵌套集拆分成单独的集?
How to split large nested set into separate sets?
您好,我有一组数据是从 api 中提取的,我试图将数据集中的数据拆分成单独的数据集,因为目前它们都嵌套在较大的数据集中。
我当前的设置:
api = {
"9/30/2018": {
"Capital Expenditure": "-13313000",
"End Cash Position": "25913000",
"Financing Cash Flow": "-87876000",
"Free Cash Flow": "64121000",
"Income Tax Paid Supplemental Data": "10417000",
"Interest Paid Supplemental Data": "3022000",
"Investing Cash Flow": "16066000",
"Issuance of Capital Stock": "669000",
"Issuance of Debt": "6969000",
"Operating Cash Flow": "77434000",
"Repayment of Debt": "-6500000",
"Repurchase of Capital Stock": "-72738000"
},
"9/30/2019": {
"Capital Expenditure": "-10495000",
"End Cash Position": "50224000",
"Financing Cash Flow": "-90976000",
"Free Cash Flow": "58896000",
"Income Tax Paid Supplemental Data": "15263000",
"Interest Paid Supplemental Data": "3423000",
"Investing Cash Flow": "45896000",
"Issuance of Capital Stock": "781000",
"Issuance of Debt": "6963000",
"Operating Cash Flow": "69391000",
"Repayment of Debt": "-8805000",
"Repurchase of Capital Stock": "-66897000"
},
"9/30/2020": {
"Capital Expenditure": "-7309000",
"End Cash Position": "39789000",
"Financing Cash Flow": "-86820000",
"Free Cash Flow": "73365000",
"Income Tax Paid Supplemental Data": "9501000",
"Interest Paid Supplemental Data": "3002000",
"Investing Cash Flow": "-4289000",
"Issuance of Capital Stock": "880000",
"Issuance of Debt": "16091000",
"Operating Cash Flow": "80674000",
"Repayment of Debt": "-12629000",
"Repurchase of Capital Stock": "-72358000"
},
"ttm": {
"Capital Expenditure": "-9646000",
"End Cash Position": "35276000",
"Financing Cash Flow": "-94328000",
"Free Cash Flow": "94768000",
"Income Tax Paid Supplemental Data": "19627000",
"Interest Paid Supplemental Data": "2597000",
"Investing Cash Flow": "-9849000",
"Issuance of Capital Stock": "1011000",
"Issuance of Debt": "22370000",
"Operating Cash Flow": "104414000",
"Repayment of Debt": "-7500000",
"Repurchase of Capital Stock": "-83410000"
}
}
我想要的结果是:
s_19_30_2018 = ["Capi总支出": "-13313000"...]
s_19_30_2019 = ["Capi总支出": "-10495000"...]
s_19_30_2020 = ["Capi总支出": "-7309000"...]
s_ttm = ["Capi总支出": "-9646000"...]
这样我就可以更轻松地访问数据并将它们添加到 sql 数据库中。
我尝试过 s_19_30_2018 = api['19/30/2018'] 但我一直在 'type error string indices must be integers '.
如有任何帮助,我们将不胜感激 python >.<
您的字典键是字符串,因此在访问它们时使用引号
s_19_30_2018 = api["9/30/2018"]
我在你的字典里也没有看到任何关键字,例如“19_30_2018”。
鉴于此结构:
api = {
"9/30/2018": {
"Capital Expenditure": "-13313000",
"End Cash Position": "25913000",
},
"9/30/2019": {
....
要获取第一个条目的键值列表,可以 运行:
for key,value in api["9/30/2018"]:
l = [key, value]
print(f" {key}, {value}")
# prints "Capital Expenditure -133313000"
检查所有项目
#get the keys
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")
# prints "Capital Expenditure -133313000"] ...
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")
通过使用代码可以解决您的问题。
通过使用下面的代码.....你可以解决你的问题
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")
您好,我有一组数据是从 api 中提取的,我试图将数据集中的数据拆分成单独的数据集,因为目前它们都嵌套在较大的数据集中。
我当前的设置:
api = {
"9/30/2018": {
"Capital Expenditure": "-13313000",
"End Cash Position": "25913000",
"Financing Cash Flow": "-87876000",
"Free Cash Flow": "64121000",
"Income Tax Paid Supplemental Data": "10417000",
"Interest Paid Supplemental Data": "3022000",
"Investing Cash Flow": "16066000",
"Issuance of Capital Stock": "669000",
"Issuance of Debt": "6969000",
"Operating Cash Flow": "77434000",
"Repayment of Debt": "-6500000",
"Repurchase of Capital Stock": "-72738000"
},
"9/30/2019": {
"Capital Expenditure": "-10495000",
"End Cash Position": "50224000",
"Financing Cash Flow": "-90976000",
"Free Cash Flow": "58896000",
"Income Tax Paid Supplemental Data": "15263000",
"Interest Paid Supplemental Data": "3423000",
"Investing Cash Flow": "45896000",
"Issuance of Capital Stock": "781000",
"Issuance of Debt": "6963000",
"Operating Cash Flow": "69391000",
"Repayment of Debt": "-8805000",
"Repurchase of Capital Stock": "-66897000"
},
"9/30/2020": {
"Capital Expenditure": "-7309000",
"End Cash Position": "39789000",
"Financing Cash Flow": "-86820000",
"Free Cash Flow": "73365000",
"Income Tax Paid Supplemental Data": "9501000",
"Interest Paid Supplemental Data": "3002000",
"Investing Cash Flow": "-4289000",
"Issuance of Capital Stock": "880000",
"Issuance of Debt": "16091000",
"Operating Cash Flow": "80674000",
"Repayment of Debt": "-12629000",
"Repurchase of Capital Stock": "-72358000"
},
"ttm": {
"Capital Expenditure": "-9646000",
"End Cash Position": "35276000",
"Financing Cash Flow": "-94328000",
"Free Cash Flow": "94768000",
"Income Tax Paid Supplemental Data": "19627000",
"Interest Paid Supplemental Data": "2597000",
"Investing Cash Flow": "-9849000",
"Issuance of Capital Stock": "1011000",
"Issuance of Debt": "22370000",
"Operating Cash Flow": "104414000",
"Repayment of Debt": "-7500000",
"Repurchase of Capital Stock": "-83410000"
}
}
我想要的结果是: s_19_30_2018 = ["Capi总支出": "-13313000"...]
s_19_30_2019 = ["Capi总支出": "-10495000"...]
s_19_30_2020 = ["Capi总支出": "-7309000"...]
s_ttm = ["Capi总支出": "-9646000"...]
这样我就可以更轻松地访问数据并将它们添加到 sql 数据库中。
我尝试过 s_19_30_2018 = api['19/30/2018'] 但我一直在 'type error string indices must be integers '.
如有任何帮助,我们将不胜感激 python >.<
您的字典键是字符串,因此在访问它们时使用引号
s_19_30_2018 = api["9/30/2018"]
我在你的字典里也没有看到任何关键字,例如“19_30_2018”。
鉴于此结构:
api = {
"9/30/2018": {
"Capital Expenditure": "-13313000",
"End Cash Position": "25913000",
},
"9/30/2019": {
....
要获取第一个条目的键值列表,可以 运行:
for key,value in api["9/30/2018"]:
l = [key, value]
print(f" {key}, {value}")
# prints "Capital Expenditure -133313000"
检查所有项目
#get the keys
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")
# prints "Capital Expenditure -133313000"] ...
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")
通过使用代码可以解决您的问题。
通过使用下面的代码.....你可以解决你的问题
ks = api.keys()
for k in ks:
for key, value, in api[k]:
print(f" {key}, {value}")