那是什么类型的错误？

Question

有人理解这段代码的错误吗？最后一行代码好像有问题。

TypeError：/: 'str' 和 'str' 的操作数类型不受支持

BS = requests.get(f'https://financialmodelingprep.com/api/v3/balance-sheet-statement/{company}?apikey={demo}').json()

# get income statement as % of revenue for future predictions and forecast 5 next IS years
income_statement = pd.DataFrame.from_dict(IS[0], orient='index')
income_statement = income_statement[5:26]
income_statement.columns = ['current_year']
income_statement['as_%_of_revenue'] = income_statement /income_statement.iloc[0]

如果我更改代码

income_statement['as_%_of_revenue'] = income_statement /income_statement.iloc[0]

int，然后给我

 income_statement['as_%_of_revenue'] = int((income_statement) / int(income_statement)).iloc[0]
TypeError: int() argument must be a string, a bytes-like object or a number, not 'DataFrame'

Answer 1

虽然更多的研究可能已经解决了这个问题：

您试图将两个数字相除（我猜），但它们的格式为str。尝试将它们转换为可整除的东西，例如int 或float，简单示例：

**income_statement['as_%_of_revenue'] = int(income_statement) / int(income_statement.iloc[0]**)

更新

您似乎正在尝试将 pandas Dataframe 中的一行中的值除以该行中的另一个数字。如果你有数据框 df = pd.DataFrame(data=([100, 200], [500, 500])):

     0    1
0  100  200
1  500  500

您可以添加一列，其中包含第一列与第二列的百分比，如下所示：
df['as_%'] = (df[0] / df[1])*100。这导致：

     0    1   as_%
0  100  200   50.0
1  500  500  100.0

Answer 2

这条线不见了

net_income = IS[0]['netIncome']

这就是为什么“我想用最后一行实现的目标不清楚”的问题。因此整个代码是：

net_income = IS[0]['netIncome']

BS = requests.get(f'https://financialmodelingprep.com/api/v3/balance-sheet-statement/{company}?apikey={demo}').json()
    
    # get income statement as % of revenue for future predictions and forecast 5 next IS years
    income_statement = pd.DataFrame.from_dict(IS[0], orient='index')
    income_statement = income_statement[5:26]
    income_statement.columns = ['current_year']
    income_statement['as_%_of_revenue'] = income_statement /income_statement.iloc[0]

我想要实现的是将收入报表除以收入（销售额）= 收入/收入（均为当年）。结果将给我一个预测未来几年的收入百分比，它是一个乘数。

分割前的数据是这样的。

问题是income_statement被定义为一个类，因为dataframe

<class 'pandas.core.frame.DataFrame'>

                                 current_year
period                                     FY
revenue                             495308000
costOfRevenue                        43839000
grossProfit                         451469000
grossProfitRatio                     0.911491
researchAndDevelopmentExpenses      101117000
generalAndAdministrativeExpenses    101439000
sellingAndMarketingExpenses         252820000
otherExpenses                               0
operatingExpenses                   455376000
costAndExpenses                     499215000
interestExpense                      38119000
depreciationAndAmortization          12101000
ebitda                              8.194e+06
ebitdaratio                         0.0165432
operatingIncome                    -3.907e+06
operatingIncomeRatio              -0.00788802
totalOtherIncomeExpensesNet          14382000
incomeBeforeTax                     -27645000
incomeBeforeTaxRatio               -0.0558138
incomeTaxExpense                            0

我是 python 的新手（3 个月），所以我什至不确定所有简单的问题..我猜

感谢您的帮助

更新

我现在就是这样做的（甚至会花费我更多的时间）

我也申报了收入

net_income = IS[0]['netIncome']
revenue = IS[0]["revenue"]

并像这样计算

income_statement['as_%_of_revenue'] = (net_income/revenue)*100

期待这是否会导致任何进一步的问题，我猜

数据现在看起来像这样

                                 current_year  as_%_of_revenue
period                                     FY        -4.920978
revenue                             495308000        -4.920978
costOfRevenue                        43839000        -4.920978
grossProfit                         451469000        -4.920978
grossProfitRatio                     0.911491        -4.920978
researchAndDevelopmentExpenses      101117000        -4.920978
generalAndAdministrativeExpenses    101439000        -4.920978
sellingAndMarketingExpenses         252820000        -4.920978
otherExpenses                               0        -4.920978
operatingExpenses                   455376000        -4.920978
costAndExpenses                     499215000        -4.920978
interestExpense                      38119000        -4.920978
depreciationAndAmortization          12101000        -4.920978
ebitda                              8.194e+06        -4.920978
ebitdaratio                         0.0165432        -4.920978
operatingIncome                    -3.907e+06        -4.920978
operatingIncomeRatio              -0.00788802        -4.920978
totalOtherIncomeExpensesNet          14382000        -4.920978
incomeBeforeTax                     -27645000        -4.920978
incomeBeforeTaxRatio               -0.0558138        -4.920978
incomeTaxExpense                            0        -4.920978
netIncome                           -24374000        -4.920978

Answer 3

简单，你可以试试这个“income_statement =income_statement[6:26]”。