Datashader具有snappy错误

Question

我使用的是python的datashader 0.5.0包来绘制人口密度信息，通常遵循教程https://www.continuum.io/blog/developer-blog/analyzing-and-visualizing-big-data-interactively-your-laptop-datashading-2010-us。我使用conda install -c bokeh datashader=0.5.0安装了datashader。

一切都很好。虽然可能不相关，但当我安装haloviews和geoviews包时，事情似乎就崩溃了。安装这些额外的软件包后，我不能再导入数据着色器，我曾经工作过的代码也不再运行。导入数据着色器时，我得到以下错误: AttributeError:模块'snappy‘没有属性'compress’

我运行的是windows10，anaconda python 3.5.3。

也许我进入了错误的兔子洞，但我想可能是因为快活的软件包。我运行了"conda install forge conda- -c snappy=1.1.4“。conda列表显示安装了snappy。Snappy可以导入。找不到snappy.compress对象。我的问题似乎与下面的SO post有关，因为我在尝试地理视图时也遇到了快速拼接错误：error with snappy while importing fastparquet in python

运行import snappy时，print(snappy.__filename__)给出以下错误：

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-5-b8565733b383> in <module>()
----> 1 import snappy; print(snappy.__file__)

AttributeError: module 'snappy' has no attribute '__file__'

我也尝试过通过conda和pip卸载，以防万一。还是没有快乐。

运行"pip install python-snappy“会导致”构建python-snappy的轮子失败“错误，前面会出现”error: Microsoft Visual C++ 14.0 is required...“所以我去找了"Microsoft Visual C++ Redistributable for Visual Studio2017“，并运行了它，但没有任何变化。

对如何解决这个问题有什么想法吗？作为参考，数据着色器导入的完整错误如下：

--------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-7-3d7b1ff9e530> in <module>()
----> 1 import datashader

C:\Python\lib\site-packages\datashader\__init__.py in <module>()
      3 __version__ = '0.5.0'
      4 
----> 5 from .core import Canvas
      6 from .reductions import (count, any, sum, min, max, mean, std, var, count_cat,
      7                          summary)

C:\Python\lib\site-packages\datashader\core.py in <module>()
      3 import numpy as np
      4 from datashape.predicates import istabular
----> 5 from odo import discover
      6 from xarray import DataArray
      7 

C:\Python\lib\site-packages\odo\__init__.py in <module>()
     63     from .backends.url import URL
     64 with ignoring(ImportError):
---> 65     from .backends.dask import dask
     66 
     67 

C:\Python\lib\site-packages\odo\backends\dask.py in <module>()
      8 
      9 from dask.array.core import Array, from_array
---> 10 from dask.bag.core import Bag
     11 import dask.bag as db
     12 from dask.compatibility import long

C:\Python\lib\site-packages\dask\bag\__init__.py in <module>()
      1 from __future__ import absolute_import, division, print_function
      2 
----> 3 from .core import (Bag, Item, from_sequence, from_url, to_textfiles, concat,
      4                    from_delayed, map_partitions, bag_range as range,
      5                    bag_zip as zip, bag_map as map)

C:\Python\lib\site-packages\dask\bag\core.py in <module>()
     30 
     31 from ..base import Base, normalize_token, tokenize
---> 32 from ..bytes.core import write_bytes
     33 from ..compatibility import apply, urlopen
     34 from ..context import _globals, defer_to_globals

C:\Python\lib\site-packages\dask\bytes\__init__.py in <module>()
      2 
      3 from ..utils import ignoring
----> 4 from .core import read_bytes, open_files, open_text_files
      5 
      6 from . import local

C:\Python\lib\site-packages\dask\bytes\core.py in <module>()
      7 from warnings import warn
      8 
----> 9 from .compression import seekable_files, files as compress_files
     10 from .utils import (SeekableFile, read_block, infer_compression,
     11                     infer_storage_options, build_name_function)

C:\Python\lib\site-packages\dask\bytes\compression.py in <module>()
     30 with ignoring(ImportError):
     31     import snappy
---> 32     compress['snappy'] = snappy.compress
     33     decompress['snappy'] = snappy.decompress
     34 

AttributeError: module 'snappy' has no attribute 'compress'

Answer 1

事实证明，在添加包的过程中，某些东西搞乱了快速安装。我遵循了这个解决方案：How to install snappy C libraries on Windows 10 for use with python-snappy in Anaconda?这是一个小错误，不是数据着色器的问题，但我会留下帖子，以防有人有相同的一系列问题。