python - TypeError：无法将 'CategoricalDtype(categories=['no', 'yes'], ordered=False)' 解释为数据类型

Question

我刚刚升级了我所有的python库，现在我以前的代码开始失败了。我正在使用 blaze 和熊猫。这是我的方法代码

blaze.data(res)

res 包含以下数据

             col1         age  ...                                           col31  year
0            yes    55-64  ...                                             NaN  2011
1             no    25-34  ...                                             NaN  2011
2             no    55-64  ...                                             NaN  2011

我正在使用以下依赖项

- python=3.6.11=h4d41432_2_cpython
- blaze=0.11.3=py36h4e06776_0
- odo=0.5.1=py36h90ed295_0
- pandas=1.0.5=py36h0573a6f_0
- numpy=1.19.1=py36h3849536_2

我收到以下错误

  File "cytoolz/functoolz.pyx", line 667, in cytoolz.functoolz.pipe
  File "cytoolz/functoolz.pyx", line 642, in cytoolz.functoolz.c_pipe
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/blaze/interactive.py", line 153, in data
    dshape = discover(data_source)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/multipledispatch/dispatcher.py", line 278, in __call__
    return func(*args, **kwargs)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 31, in discover_dataframe
    for k in df.columns])
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 31, in <listcomp>
    for k in df.columns])
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/odo/backends/pandas.py", line 23, in dshape_from_pandas
    dshape = datashape.CType.from_numpy_dtype(col.dtype)
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/datashape/coretypes.py", line 779, in from_numpy_dtype
    if np.issubdtype(dt, np.datetime64):
  File "/home/ubuntu/miniconda/envs/my_env/lib/python3.6/site-packages/numpy/core/numerictypes.py", line 388, in issubdtype
    arg1 = dtype(arg1).type
TypeError: Cannot interpret 'CategoricalDtype(categories=['no', 'yes'], ordered=False)' as a data type

它无法解析第二列值。

标签： pythonpandasnumpyblazeodo