70 lines
2.8 KiB
Python
70 lines
2.8 KiB
Python
from adata import stock
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import pandas as pd
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# 显示所有列
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pd.set_option('display.max_columns', None)
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# 显示所有行
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pd.set_option('display.max_rows', None)
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# 显示单元格完整内容（不截断长文本）
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pd.set_option('display.max_colwidth', None)
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# 不自动折行
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pd.set_option('display.expand_frame_repr', False)
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def get_fina_info(stock_code="600699"):
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df = stock.finance.get_core_index(stock_code=stock_code)
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data = df[['report_date', 'report_type', 'total_rev', 'total_rev_yoy_gr','net_profit_attr_sh', 'net_profit_yoy_gr',
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'non_gaap_net_profit', 'non_gaap_net_profit_yoy_gr', 'roe_wtd', 'gross_margin', 'net_margin', 'quick_ratio',
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'inv_turn_rate', 'acct_recv_turn_rate']]
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last_type = data['report_type'].to_list()[0]
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recent_df = data[data.report_type == last_type].iloc[:2,:].reset_index(drop=True)
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recent_df.rename(columns={"report_date": "报告日期",
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"report_type": "报告类型",
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"total_rev":"营业总收入",
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"total_rev_yoy_gr":"营业总收入同比增长率",
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"net_profit_attr_sh":"归母净利润",
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"net_profit_yoy_gr":"归母净利润同比增长率",
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"non_gaap_net_profit":"扣非净利润",
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"non_gaap_net_profit_yoy_gr":"扣非净利润同比增长率",
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"roe_wtd":"加权净资产收益率",
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"gross_margin":"销售毛利率",
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"net_margin":"销售净利率",
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"quick_ratio":"速动比率",
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"inv_turn_rate":"存货周转率",
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"acct_recv_turn_rate":"应收账款周转率"
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}, inplace=True)
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formatted_lines = []
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for _, row in recent_df.iterrows():
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line_items = []
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for col, val in zip(recent_df.columns, row):
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# 判断是否为数字类型
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if isinstance(val, (int, float)):
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# 如果列名包含"率"，则格式化为保留两位小数并加上 %
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if "率" in col:
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formatted_val = f"{val:.2f}%"
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else:
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# 其他数字：格式化为带千分位、保留两位小数
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formatted_val = f"{val:,.2f}"
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else:
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# 非数字类型（如日期、文本）直接转为字符串
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formatted_val = str(val)
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line_items.append(f"{col}：{formatted_val}")
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# 将这一期的所有字段用换行符拼接
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formatted_lines.append("\n".join(line_items))
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# 3. 组装最终报告文本
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final_report = f"近两期{last_type}主要财务数据如下：\n" + "\n\n".join(formatted_lines)
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return final_report
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if __name__ == "__main__":
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print(get_fina_info(stock_code="600105")) |