在 Power BI 中使用 python 脚本操作 SQL 数据帧

Question

我想在 Power BI 中对 SQL 数据框执行一个简单的 Python 脚本。 但错误似乎表明 SQL 表已被读取为 CSV 文件，我不知道为什么脚本将数据帧视为 CSV 文件而不是 SQL 数据帧。

python脚本是：
import pandas as pd
dataset['COD-MARQ'] = dataset['COD-MARQ'].str.strip()

关于我应该如何处理的任何想法？

谢谢

Traceback (most recent call last):
  File "PythonScriptWrapper.PY", line 7, in <module>
    df1 = pandas.read_csv('input_df_da064532-6620-4e48-a091-ff580b127759.csv')
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 686, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 458, in _read
    data = parser.read(nrows)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 1186, in read
    ret = self._engine.read(nrows)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 2145, in read
    data = self._reader.read(nrows)
  File "pandas\_libs\parsers.pyx", line 847, in pandas._libs.parsers.TextReader.read
  File "pandas\_libs\parsers.pyx", line 862, in pandas._libs.parsers.TextReader._read_low_memory
  File "pandas\_libs\parsers.pyx", line 941, in pandas._libs.parsers.TextReader._read_rows
  File "pandas\_libs\parsers.pyx", line 1073, in pandas._libs.parsers.TextReader._convert_column_data
  File "pandas\_libs\parsers.pyx", line 1119, in pandas._libs.parsers.TextReader._convert_tokens
  File "pandas\_libs\parsers.pyx", line 1194, in pandas._libs.parsers.TextReader._convert_with_dtype
  File "pandas\_libs\parsers.pyx", line 1814, in pandas._libs.parsers._try_int64
MemoryError: Unable to allocate 64.0 KiB for an array with shape (8192,) and data type int64

Détails :
    DataSourceKind=Python
    DataSourcePath=Python
    Message=Ρŷтнőŋ şсŗĩрţ εггǿŗ.
Traceback (most recent call last):
  File "PythonScriptWrapper.PY", line 7, in <module>
    df1 = pandas.read_csv('input_df_da064532-6620-4e48-a091-ff580b127759.csv')
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 686, in read_csv
    return _read(filepath_or_buffer, kwds)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 458, in _read
    data = parser.read(nrows)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 1186, in read
    ret = self._engine.read(nrows)
  File "C:\Users\afalieres\AppData\Local\Programs\Python\Python38-32\lib\site-packages\pandas\io\parsers.py", line 2145, in read
    data = self._reader.read(nrows)
  File "pandas\_libs\parsers.pyx", line 847, in pandas._libs.parsers.TextReader.read
  File "pandas\_libs\parsers.pyx", line 862, in pandas._libs.parsers.Tex...
    ErrorCode=-2147467259
    ExceptionType=Microsoft.PowerBI.Scripting.Python.Exceptions.PythonScriptRuntimeException ```

Answer 1

我不肯定这是问题所在，但在我看来 dataset 指的是上一步而不是原始源，这意味着它不再采用 SQL 数据帧格式。您可能想要使用 python 导入原始源，或者修改您的脚本以将数据集视为不是 SQL 数据框，而是以查询编辑器传递给 python 脚本的任何格式（我认为熊猫数据框）。

另外说明，在这种特殊情况下，似乎没有必要使用 python 进行简单的转换，而这可以在 M 中以本机方式轻松完成。