Pyinstaller创建非工作可执行文件(ImportError)

Question

我用Win7在PC上用pyinstaller创建了exe (一个文件模式)，它工作正常。在安装了Win8.1的另一台PC上启动可执行文件时遇到问题。程序启动，但在程序的某些部分收到ImportError。可执行文件使用路径与lib从我的PC-Win7。如何正确地将熊猫添加到exe并解决问题？提前谢谢。

我找到了类似的已解决问题Pyinstaller ImportError with scipy: DLL load failed，但不明白它如何适用于我的问题。

Pyinstaller在warn.txt文件夹中创建了关于熊猫(尤其是关于pandas.core.window )的内容：

missing module named pandas.factorize - imported by pandas (delayed, conditional), pandas.core.util.hashing (delayed, conditional)
missing module named pandas.unique - imported by pandas (delayed), pandas.core.arrays.base (delayed)
missing module named pandas.option_context - imported by pandas (top-level), pandas.io.clipboards (top-level)
missing module named pandas.NaT - imported by pandas (top-level), pandas.io.packers (top-level)
missing module named pandas.Period - imported by pandas (top-level), pandas.io.packers (top-level)
missing module named pandas.SparseDataFrame - imported by pandas (top-level), pandas.io.pytables (top-level)
missing module named pandas.SparseSeries - imported by pandas (top-level), pandas.io.pytables (top-level)
missing module named pandas.Int64Index - imported by pandas (top-level), pandas.io.feather_format (top-level), pandas.io.parquet (top-level), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.core.dtypes.concat (delayed), pandas.core.algorithms (delayed)
missing module named pandas.RangeIndex - imported by pandas (top-level), pandas.io.feather_format (top-level), pandas.io.parquet (top-level), pandas.io.packers (top-level), pandas.core.dtypes.concat (delayed), pandas.util.testing (top-level)
missing module named pandas.Interval - imported by pandas (top-level), pandas.core.reshape.tile (top-level), pandas.io.packers (top-level)
missing module named pandas.Timedelta - imported by pandas (top-level), pandas.core.reshape.tile (top-level), pandas.core.reshape.merge (top-level)
missing module named pandas.Categorical - imported by pandas (top-level), pandas.core.reshape.tile (top-level), pandas.core.reshape.merge (top-level), pandas.io.packers (top-level), pandas.core.dtypes.concat (delayed), pandas.core.dtypes.cast (delayed, conditional), pandas.core.util.hashing (delayed, conditional), pandas.core.dtypes.common (delayed, conditional), pandas.util.testing (top-level)
missing module named pandas.concat - imported by pandas (delayed), **pandas.core.window (delayed, conditional), pandas.core.groupby.groupby (delayed, conditional), pandas.core.sparse.frame (delayed), pandas.io.pytables (top-level), pandas.core.strings (delayed)**
missing module named pandas.isna - imported by pandas (top-level), pandas.io.json.json (top-level), pandas.io.stata (top-level), pandas.io.pytables (top-level)
missing module named pandas.CategoricalIndex - imported by pandas (delayed), pandas.core.arrays.categorical (delayed), pandas.io.packers (top-level), pandas.core.dtypes.concat (delayed), pandas.util.testing (top-level)
missing module named pandas.Float64Index - imported by pandas (delayed), pandas.core.internals (delayed), pandas.io.packers (top-level)
missing module named pandas.Timestamp - imported by pandas (delayed), pandas.core.indexes.timedeltas (delayed), pandas.core.reshape.tile (top-level), pandas.io.packers (top-level)
missing module named pandas.DateOffset - imported by pandas (delayed), pandas.core.indexes.datetimelike (delayed)
missing module named pandas.Panel - imported by pandas (delayed), pandas.core.indexing (delayed), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.util.testing (top-level)
missing module named pandas.MultiIndex - imported by pandas (top-level), pandas.core.reshape.concat (top-level), pandas.io.json.json (top-level), pandas.core.window (delayed, conditional), pandas.core.reshape.merge (top-level), pandas.io.formats.excel (top-level), pandas.core.reshape.pivot (delayed, conditional), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.core.strings (delayed), pandas.core.util.hashing (delayed), pandas.util.testing (top-level)**
missing module named pandas.DataFrame - imported by pandas (delayed), pandas.core.accessor (delayed), pandas.core.reshape.concat (top-level), pandas.core.indexing (delayed), pandas.core.indexes.timedeltas (delayed), pandas.io.json.json (top-level), pandas.plotting._tools (delayed), pandas.plotting._core (delayed), pandas.core.indexes.multi (delayed), pandas.core.window (delayed, conditional), pandas.core.reshape.merge (top-level), pandas.io.feather_format (top-level), pandas.io.parquet (top-level), pandas.core.reshape.pivot (delayed), pandas.io.json.normalize (top-level), pandas.io.json.table_schema (top-level), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.io.clipboards (top-level), pandas.core.generic (delayed, conditional), pandas.core.strings (delayed), pandas.core.indexes.base (delayed), pandas.core.base (delayed, conditional), pandas.core.tools.datetimes (delayed), pandas.util.testing (top-level)
missing module named pandas.Index - imported by pandas (delayed), pandas.core.algorithms (delayed, conditional), pandas.core.accessor (delayed), pandas.core.reshape.concat (top-level), pandas.core.indexes.datetimelike (delayed), pandas.core.arrays.categorical (delayed), pandas.compat.pickle_compat (top-level), pandas.core.window (delayed, conditional), pandas.core.reshape.merge (top-level), pandas.io.formats.excel (top-level), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.core.strings (delayed), pandas.core.base (delayed), pandas.core.dtypes.concat (delayed), pandas.core.sorting (delayed), pandas.core.tools.datetimes (delayed, conditional), pandas.core.util.hashing (delayed, conditional), pandas.core.dtypes.dtypes (delayed), pandas.util.testing (top-level)
missing module named pandas.PeriodIndex - imported by pandas (delayed, conditional), pandas.core.algorithms (delayed, conditional), pandas.io.formats.excel (top-level), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.util.testing (top-level)
missing module named pandas.DatetimeIndex - imported by pandas (delayed, optional), pandas.core.dtypes.cast (delayed, conditional, optional), pandas.core.algorithms (delayed, conditional), pandas.core.missing (delayed, optional), pandas.core.indexes.datetimelike (delayed, conditional), pandas.core.indexes.timedeltas (delayed), pandas.io.stata (top-level), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.core.tools.datetimes (delayed), pandas.util.testing (top-level)
missing module named pandas.to_numeric - imported by pandas (delayed, conditional), pandas.core.dtypes.cast (delayed, conditional), pandas.core.arrays.categorical (delayed), pandas.core.tools.datetimes (delayed)
missing module named pandas.to_timedelta - imported by pandas (delayed, conditional), pandas.core.dtypes.cast (delayed, conditional), pandas.core.arrays.categorical (delayed), pandas.core.window (delayed, conditional), pandas.core.groupby.groupby (delayed, conditional), pandas.core.reshape.tile (top-level), pandas.io.stata (top-level), pandas.core.tools.datetimes (delayed)
missing module named pandas.TimedeltaIndex - imported by pandas (delayed, conditional), pandas.core.tools.timedeltas (delayed, conditional), pandas.core.algorithms (delayed, conditional), pandas.core.indexes.datetimes (delayed), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.util.testing (top-level)
missing module named pandas.to_datetime - imported by pandas (delayed, conditional, optional), pandas.core.dtypes.cast (delayed, conditional, optional), pandas.core.arrays.categorical (delayed), pandas.io.json.json (top-level), pandas.core.groupby.groupby (delayed, conditional), pandas.core.reshape.tile (top-level), pandas.io.stata (top-level), pandas.io.pytables (top-level), pandas.core.generic (delayed, conditional)
missing module named pandas.Series - imported by pandas (delayed, conditional), pandas.core.dtypes.missing (delayed, conditional), pandas.core.tools.timedeltas (delayed, conditional), pandas.core.algorithms (delayed, conditional), pandas.core.missing (delayed), pandas.core.accessor (delayed), pandas.core.reshape.concat (top-level), pandas.core.indexing (delayed), pandas.io.formats.format (delayed), pandas.core.indexes.datetimes (delayed), pandas.core.arrays.categorical (delayed), pandas.io.json.json (top-level), pandas.plotting._core (delayed), pandas.core.indexes.multi (delayed, conditional), pandas.core.window (delayed, conditional), pandas.core.reshape.tile (top-level), pandas.core.apply (delayed, conditional), pandas.io.pytables (top-level), pandas.io.packers (top-level), pandas.core.generic (delayed, conditional), pandas.core.indexes.accessors (delayed), pandas.core.strings (delayed), pandas.core.indexes.base (delayed), pandas.core.base (delayed, conditional, optional), pandas.core.dtypes.concat (delayed), pandas.core.tools.datetimes (delayed, conditional), pandas.core.util.hashing (delayed), pandas.io.html (top-level), pandas.util.testing (top-level)
missing module named pandas.IntervalIndex - imported by pandas (delayed, conditional), pandas.core.dtypes.missing (delayed, conditional), pandas.core.indexes.category (delayed, conditional), pandas.core.reshape.tile (top-level), pandas.io.packers (top-level), pandas.util.testing (top-level)
missing module named pandas.get_option - imported by pandas (delayed), pandas.io.formats.console (delayed), pandas.io.parquet (top-level), pandas.io.clipboards (top-level)

我的规范文件：

# -*- mode: python -*-

block_cipher = None

a = Analysis(['Main.py'],
             pathex=['C:\\Users\\Atlant\\Desktop\\myprog'],
             binaries=[],
             datas=[],
             hiddenimports=[],
             hookspath=[],
             runtime_hooks=[],
             excludes=[],
             win_no_prefer_redirects=False,
             win_private_assemblies=False,
             cipher=block_cipher,
             noarchive=False)
pyz = PYZ(a.pure, a.zipped_data,
             cipher=block_cipher)
exe = EXE(pyz,
          a.scripts,
          a.binaries,
          a.zipfiles,
          a.datas,
          [],
          name='MyProg',
          debug=True,
          bootloader_ignore_signals=False,
          strip=False,
          upx=False,
          runtime_tmpdir=None,
          console=True, icon='icon.ico')

安装了Win8.1的Tablet-PC使用了不正确的路径(D:\Python\lib...)在我的安装了Win7的PC上：

​

我需要能够在任何安装了Windows7和更新版本的PC上启动可执行文件。

Answer 1

我已经更新了pandas和pyinstaller。

pip install pandas --upgrade
pip install pyinstaller --upgrade