【Pandas ERROR】 ValueError: cannot convert float NaN to integer

本文介绍在使用Pandas库处理数据时遇到的ValueError:无法将float NaN转换为整数的问题。详细解释了错误发生的原因是由于数据字段中存在NaN值,并提供了解决方案,即剔除含有NaN值的行,以确保数据转换过程的顺利进行。
C:\Users\1\PycharmProjects\pythonProject1\.venv\Scripts\python.exe C:\Users\1\PycharmProjects\pythonProject1\2.2text.py 成功加载数据: 1082条记录 C:\Users\1\PycharmProjects\pythonProject1\2.2text.py:145: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. group_stats = pd.concat([group_stats, pd.DataFrame([stats])], ignore_index=True) C:\Users\1\PycharmProjects\pythonProject1\2.2text.py:147: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. prediction_df = pd.concat([prediction_df, group_df], ignore_index=True) C:\Users\1\PycharmProjects\pythonProject1\2.2text.py:147: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation. prediction_df = pd.concat([prediction_df, group_df], ignore_index=True) C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:497: RuntimeWarning: divide by zero encountered in divide slope = (y_hi - y_lo) / (x_hi - x_lo)[:, None] C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:500: RuntimeWarning: invalid value encountered in multiply y_new = slope*(x_new - x_lo)[:, None] + y_lo C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:497: RuntimeWarning: divide by zero encountered in divide slope = (y_hi - y_lo) / (x_hi - x_lo)[:, None] C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:500: RuntimeWarning: invalid value encountered in multiply y_new = slope*(x_new - x_lo)[:, None] + y_lo C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:497: RuntimeWarning: divide by zero encountered in divide slope = (y_hi - y_lo) / (x_hi - x_lo)[:, None] C:\Users\1\PycharmProjects\pythonProject1\.venv\Lib\site-packages\scipy\interpolate\_interpolate.py:500: RuntimeWarning: invalid value encountered in multiply y_new = slope*(x_new - x_lo)[:, None] + y_lo Traceback (most recent call last): File "C:\Users\1\PycharmProjects\pythonProject1\2.2text.py", line 310, in <module> print(f"推荐最佳检测时点: {optimal_time:.1f}天 (孕{int(optimal_time // 7)}周{int(optimal_time % 7)}天)") ^^^^^^^^^^^^^^^^^^^^^^ ValueError: cannot convert float NaN to integer === 分析结果摘要 ===
最新发布
10-31
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