一行代碼獲取所有的財務指標數據
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財務指標數據返回字段
| 列名 | 列的含義 |
|---|---|
| code | 股票代碼 |
| pubDate | 日期 |
| statDate | 日期 |
| eps | 每股收益EPS(元) |
| adjusted_profit | 扣除非經常損益后的凈利潤(元) |
| operating_profit | 經營活動凈收益(元) |
| value_change_profit | 價值變動凈收益(元) |
| roe | 凈資產收益率ROE(%) |
| inc_return | 凈資產收益率(扣除非經常損益)(%) |
| roa | 總資產凈利率ROA(%) |
| net_profit_margin | 銷售凈利率(%) |
| gross_profit_margin | 銷售毛利率(%) |
| expense_to_total_revenue | 營業總成本/營業總收入(%) |
| operation_profit_to_total_revenue | 營業利潤/營業總收入(%) |
| net_profit_to_total_revenue | 凈利潤/營業總收入(%) |
| operating_expense_to_total_revenue | 營業費用/營業總收入(%) |
| ga_expense_to_total_revenue | 管理費用/營業總收入(%) |
| financing_expense_to_total_revenue | 財務費用/營業總收入(%) |
| operating_profit_to_profit | 經營活動凈收益/利潤總額(%) |
| invesment_profit_to_profit | 價值變動凈收益/利潤總額(%) |
| adjusted_profit_to_profit | 扣除非經常損益后的凈利潤/歸屬於母公司所有者的凈利潤(%) |
| goods_sale_and_service_to_revenue | 銷售商品提供勞務收到的現金/營業收入(%) |
| ocf_to_revenue | 經營活動產生的現金流量凈額/營業收入(%) |
| ocf_to_operating_profit | 經營活動產生的現金流量凈額/經營活動凈收益(%) |
| inc_total_revenue_year_on_year | 營業總收入同比增長率(%) |
| inc_total_revenue_annual | 營業總收入環比增長率(%) |
| inc_revenue_year_on_year | 營業收入同比增長率(%) |
| inc_revenue_annual | 營業收入環比增長率(%) |
| inc_operation_profit_year_on_year | 營業利潤同比增長率(%) |
| inc_operation_profit_annual | 營業利潤環比增長率(%) |
| inc_net_profit_year_on_year | 凈利潤同比增長率(%) |
| inc_net_profit_annual | 凈利潤環比增長率(%) |
| inc_net_profit_to_shareholders_year_on_year | 歸屬母公司股東的凈利潤同比增長率(%) |
| inc_net_profit_to_shareholders_annual | 歸屬母公司股東的凈利潤環比增長率(% |
獲取某一天所有的財務指標數據
# 獲取“2021-01-05”所有的財務指標數據 df=get_fundamentals(query(indicator),date="2021-01-05") print(df[:4]) # 輸出 id code day pubDate statDate eps \ 0 45000708 000001.XSHE 2021-01-05 2020-10-22 2020-09-30 0.4493 1 45590101 000002.XSHE 2021-01-05 2020-10-30 2020-09-30 0.6331 2 45590317 000004.XSHE 2021-01-05 2020-10-30 2020-09-30 0.3324 3 45406174 000005.XSHE 2021-01-05 2020-10-29 2020-09-30 0.0043 adjusted_profit operating_profit value_change_profit roe \ 0 8.730000e+09 1.041200e+10 8.570000e+08 2.46 1 6.775110e+09 1.379713e+10 1.785868e+09 3.69 2 5.469821e+07 6.525505e+07 NaN 3.86 3 -1.787463e+07 -1.747028e+07 4.047380e+07 0.28 ... inc_total_revenue_year_on_year \ 0 ... 8.8400 1 ... 12.4700 2 ... 17929.4004 3 ... -41.6200 inc_total_revenue_annual inc_revenue_year_on_year inc_revenue_annual \ 0 -5.36 8.8400 -5.36 1 -3.48 12.4700 -3.48 2 209.31 17929.4004 209.31 3 -3.07 -41.6200 -3.07 inc_operation_profit_year_on_year inc_operation_profit_annual \ 0 5.51 69.1000 1 10.53 -28.2900 2 745.37 6337.2998 3 138.08 155.5600 inc_net_profit_year_on_year inc_net_profit_annual \ 0 6.11 69.9800 1 22.97 -29.3600 2 721.89 3654.3401 3 143.59 151.5400 inc_net_profit_to_shareholders_year_on_year \ 0 6.11 1 14.94 2 783.92 3 132.08 inc_net_profit_to_shareholders_annual 0 69.9800 1 -34.6700 2 4519.6099 3 140.9000 [4 rows x 36 columns]
結合上表的字段，獲取一只股票某個字段數據
q = query( indicator ).filter( indicator.code == '000004.XSHE' ) df = get_fundamentals(q, '2015-10-15') # 打印出每股收益EPS(元) print(df['eps'][0]) >>>0.0365
獲取多只股票在某一日期的財務數據
df = get_fundamentals(query( indicator ).filter( # 這里不能使用 in 操作, 要使用in_()函數 indicator.code.in_(['000001.XSHE', '600000.XSHG']) ), date='2015-10-15') print(df) # 輸出 id code day pubDate statDate eps \ 0 178 000001.XSHE 2015-10-15 2015-08-14 2015-06-30 0.4162 1 2952806 600000.XSHG 2015-10-15 2015-08-20 2015-06-30 0.6813 adjusted_profit operating_profit value_change_profit roe \ 0 5.954000e+09 6.254000e+09 1.566000e+09 4.14 1 1.239500e+10 1.553200e+10 8.140000e+08 4.45 ... inc_total_revenue_year_on_year \ 0 ... 39.02 1 ... 19.94 inc_total_revenue_annual inc_revenue_year_on_year inc_revenue_annual \ 0 25.32 39.02 25.32 1 14.30 19.94 14.30 inc_operation_profit_year_on_year inc_operation_profit_annual \ 0 17.90 5.01 1 4.92 12.52 inc_net_profit_year_on_year inc_net_profit_annual \ 0 18.69 5.81 1 6.29 13.33 inc_net_profit_to_shareholders_year_on_year \ 0 18.69 1 6.39 inc_net_profit_to_shareholders_annual 0 5.81 1 13.53 [2 rows x 36 columns]