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JMP 19 Python 集成：将数据表转换为 Pandas 时出现 ValueError：year 0 错误

大家好，

I am upgrading my scripts from JMP18 to JMP19 and 'm hitting a particular roadblock with this integration. In JMP 18, I used custom function to loop through columns and create Pandas DataFrame. It worked perfectly. However in JMP19, the exact code throws a ValueError: year 0 is out of range.

Here is the snippet:

Python Send("raw_data");

</CODE>
    </DIV> 
    <DIV class="Y3BBE" data-sfc-cp="" data-sfc-root="c" data-sfc-cb="" data-hveid="CAEIBRAA" data-complete="true" data-processed="true"> 
     <PRE>def jmp_to_pandas(jmp_table):
    cols = list(jmp_table)
    data_dict = {}
    for col in cols:
        data_dict[col.name] = list(col)
    return pd.DataFrame(data_dict)
</PRE> 
     <CODE class="KDcb0c" dir="ltr" data-sae="" data-complete="true" data-sfc-cb="" data-sfc-root="c">data1 = jmp_to_pandas(raw_data)

</CODE>
    </DIV> 
    <DIV class="Y3BBE" data-sfc-cp="" data-sfc-root="c" data-sfc-cb="" data-hveid="CAEIBRAA" data-complete="true" data-processed="true">
     <CODE class="KDcb0c" dir="ltr" data-sae="" data-complete="true" data-sfc-cb="" data-sfc-root="c">

问题：

JMP 19 中将打开的数据表转换为 Pandas DataFrame 的官方方法是什么？
Has the jmp module structure changed? I'm finding it difficult to locate the updated JMP 19 Python API reference on the website.
在 JMP 19 中，应如何处理“元年”或 JMP 空日期（1904 年纪元）以避免 Python 日期时间崩溃？

</CODE>
    </DIV> 
   </DIV>
  </LINGO-BODY>
  <LINGO-LABS id="lingo-labs-942295" slang="en-US" mode="CREATE">
   <LINGO-LABEL>自动化和脚本编写</LINGO-LABEL>
   <LINGO-LABEL>数据访问</LINGO-LABEL>
   <LINGO-LABEL>数据探索与可视化</LINGO-LABEL>
   <LINGO-LABEL>质量与工艺工程</LINGO-LABEL>
  </LINGO-LABS>
 
 
  <LINGO-SUB id="lingo-sub-942305" slang="en-US" mode="CREATE" translate="no">回复：JMP 19 Python 集成：将数据表转换为 Pandas 时出现 ValueError：year 0 错误</LINGO-SUB>
  <LINGO-BODY id="lingo-body-942305" slang="en-US" mode="CREATE">
   <P><A href="https://community.jmp.com/t5/JMPer-Cable/Going-further-with-Python-in-JMP-19/m-p/898522#U898522" class="lia-mention-container-editor-message lia-img-icon-blog-thread lia-fa-icon lia-fa-blog lia-fa-thread lia-fa" target="_blank">在 JMP 19 中进一步学习 Python</A>很可能是一个不错的起点。</P>
  </LINGO-BODY>
 
 
  <LINGO-SUB id="lingo-sub-943465" slang="en-US" mode="CREATE" translate="no">回复：JMP 19 Python 集成：将数据表转换为 Pandas 时出现 ValueError: year 0 错误</LINGO-SUB>
  <LINGO-BODY id="lingo-body-943465" slang="en-US" mode="CREATE">
   <P>有关<STRONG>导入 jmp</STRONG>对象 API 的最新信息，请参阅 JMP 脚本索引中的“Python”类别。文档和示例代码提供了最新更新。jmp 模块在 19 版本中进行了重大更新。</P> 
   <P>根据你的函数，我认为是 Pandas 抛出了 ValueError 错误：Pandas 在 JMP 18 中使用的 Python 3.11 版本和 JMP 19 中使用的 Python 3.13 版本之间发生了变化。</P> 
   <P>请参阅 jmp.DataTable.from_dataframe() 的脚本索引示例。其中包含多个示例，涵盖了与 JMP 数据表和其他兼容 Python 数据帧的对象（例如 Pandas、Polars、Ibis 等）之间的互操作。</P> 
   <P>具体来说，是“Pandas 到 JMP”和“JMP 到 Pandas”的示例。</P> 
   <P>JMP 转 Pandas 示例：</P> 
   <PRE class="lia-code-sample language-python"><CODE>import jmp
import jmputils

try:
    if not jmputils.is_installed('pandas'):
        jmputils.jpip('install', 'pandas', echo=False)
except Exception as e:
    print(f'Install failed with exception: {e}')

import pandas as pd

dt = jmp.open(jmp.SAMPLE_DATA + "Big Class.jmp")
pandas_df = (pd.api.interchange.from_dataframe(dt))
print(pandas_df)

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