一行代码获取所有的财务指标数据
一行代码获取所有的财务指标数据
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财务指标数据返回字段
| 列名 | 列的含义 |
|---|---|
| code | 股票代码 |
| pubDate | 日期 |
| statDate | 日期 |
| eps | 每股收益EPS(元) |
| adjusted_profit | 扣除非经常损益后的净利润(元) |
| operating_profit | 经营活动净收益(元) |
| value_change_profit | 价值变动净收益(元) |
| roe | 净资产收益率ROE(%) |
| inc_return | 净资产收益率(扣除非经常损益)(%) |
| roa | 总资产净利率ROA(%) |
| net_profit_margin | 销售净利率(%) |
| gross_profit_margin | 销售毛利率(%) |
| expense_to_total_revenue | 营业总成本/营业总收入(%) |
| operation_profit_to_total_revenue | 营业利润/营业总收入(%) |
| net_profit_to_total_revenue | 净利润/营业总收入(%) |
| operating_expense_to_total_revenue | 营业费用/营业总收入(%) |
| ga_expense_to_total_revenue | 管理费用/营业总收入(%) |
| financing_expense_to_total_revenue | 财务费用/营业总收入(%) |
| operating_profit_to_profit | 经营活动净收益/利润总额(%) |
| invesment_profit_to_profit | 价值变动净收益/利润总额(%) |
| adjusted_profit_to_profit | 扣除非经常损益后的净利润/归属于母公司所有者的净利润(%) |
| goods_sale_and_service_to_revenue | 销售商品提供劳务收到的现金/营业收入(%) |
| ocf_to_revenue | 经营活动产生的现金流量净额/营业收入(%) |
| ocf_to_operating_profit | 经营活动产生的现金流量净额/经营活动净收益(%) |
| inc_total_revenue_year_on_year | 营业总收入同比增长率(%) |
| inc_total_revenue_annual | 营业总收入环比增长率(%) |
| inc_revenue_year_on_year | 营业收入同比增长率(%) |
| inc_revenue_annual | 营业收入环比增长率(%) |
| inc_operation_profit_year_on_year | 营业利润同比增长率(%) |
| inc_operation_profit_annual | 营业利润环比增长率(%) |
| inc_net_profit_year_on_year | 净利润同比增长率(%) |
| inc_net_profit_annual | 净利润环比增长率(%) |
| inc_net_profit_to_shareholders_year_on_year | 归属母公司股东的净利润同比增长率(%) |
| inc_net_profit_to_shareholders_annual | 归属母公司股东的净利润环比增长率(% |
获取某一天所有的财务指标数据
# 获取“2021-01-05”所有的财务指标数据
df=get_fundamentals(query(indicator),date="2021-01-05")
print(df[:4])
# 输出
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]
结合上表的字段，获取一只股票某个字段数据
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
获取多只股票在某一日期的财务数据
df = get_fundamentals(query(
indicator
).filter(
# 这里不能使用 in 操作, 要使用in_()函数
indicator.code.in_(['000001.XSHE', '600000.XSHG'])
), date='2015-10-15')
print(df)
# 输出
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]
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