我试图读取一个34Gb的Stata（.dta）文件，但不断得到一个“MemoryError”消息，很明显，我的16Gb内存是不够的。
我尝试测试一个11Mb的Stata文件：

dtafile = 'E:/test file.dta'
df = pd.read_stata(dtafile)
a = df.head()
print(a)

我得到的正确输出为：

app_id    inventor_id  ...  lagged_generality_FYnormalized       _merge
0  101985                 ...                        1.038381  matched (3)
1  102019  SCHOTTEK 2827  ...                        0.830110  matched (3)
2  102019  KUELLMER 2827  ...                        0.830110  matched (3)
3  102019   DICKNER 2827  ...                        0.830110  matched (3)
4  102562    VINEGAR 986  ...                        0.825088  matched (3)

[5 rows x 1448 columns]

Process finished with exit code 0

但是当我用34GB文件尝试同样的操作时，我得到了一个“MemoryError”消息。完整的错误消息是：

Traceback (most recent call last):
  File "C:\Users\Gaju\PycharmProjects\first project\work.py", line 8, in <module>
    df = pd.read_stata(dtafile)
  File "C:\Users\Gaju\PycharmProjects\first project\venv\lib\site-packages\pandas\util\_decorators.py", line 317, in wrapper
    return func(*args, **kwargs)
  File "C:\Users\Gaju\PycharmProjects\first project\venv\lib\site-packages\pandas\io\stata.py", line 2021, in read_stata
    reader = StataReader(
  File "C:\Users\Gaju\PycharmProjects\first project\venv\lib\site-packages\pandas\io\stata.py", line 1172, in __init__
    self.path_or_buf = BytesIO(handles.handle.read())
MemoryError

Process finished with exit code 1