44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""测试 akshare 各函数能获取多少 PVC 5分钟历史数据。"""
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import akshare as ak
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import pandas as pd
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from datetime import datetime
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print(f"akshare version: {ak.__version__}")
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print()
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# 方法1: futures_zh_minute_sina - 新浪连续合约
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print("=== 方法1: futures_zh_minute_sina(V0, 5min) ===")
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try:
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df1 = ak.futures_zh_minute_sina(symbol="V0", period="5")
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print(f"行数: {len(df1)}")
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print(f"列: {list(df1.columns)}")
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if len(df1) > 0:
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print(f"时间范围: {df1.iloc[0,0]} ~ {df1.iloc[-1,0]}")
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print(df1.head(2))
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print(df1.tail(2))
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except Exception as e:
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print(f"ERROR: {e}")
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print()
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# 方法2: 尝试下载多个具体合约拼接
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print("=== 方法2: 下载多个 PVC 合约 ===")
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all_dfs = []
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# PVC合约代码: V+YYMM, 如 V2401=2024年1月
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contracts = []
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for year in [23, 24, 25, 26]:
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for month in range(1, 13):
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code = f"V{year:02d}{month:02d}"
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contracts.append(code)
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for code in contracts:
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try:
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df = ak.futures_zh_minute_sina(symbol=code, period="5")
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if df is not None and len(df) > 0:
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print(f" {code}: {len(df)} 行, {df.iloc[0,0]} ~ {df.iloc[-1,0]}")
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all_dfs.append(df)
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except Exception as e:
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pass # 合约可能已过期，跳过
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print(f"\n总计获取 {len(all_dfs)} 个合约, 合计 {sum(len(d) for d in all_dfs)} 行")
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