id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,active_lock_reason,draft,pull_request,body,reactions,performed_via_github_app,state_reason,repo,type
1474805252,I_kwDOAMm_X85X574E,7355,"Import ""graphing"" could not be resolvedPylance(reportMissingImports)",107093714,closed,0,,,7,2022-12-04T13:25:13Z,2022-12-15T12:50:31Z,2022-12-08T13:58:19Z,NONE,,,,"### What happened?

Having an **""AttributeError: module 'dask.array' has no attribute 'lib' ""** error, using the ""graphing"" module to create a histogram chart for data exploration. 

### What did you expect to happen?

I expected to be able to create a histogram that helps me understand my data better.

### Minimal Complete Verifiable Example

```Python
import pandas
!wget https://raw.githubusercontent.com/MicrosoftDocs/mslearn-introduction-to-machine-learning/main/graphing.py
!wget https://raw.githubusercontent.com/MicrosoftDocs/mslearn-introduction-to-machine-learning/main/Data/snow_objects.csv

#Import the data from the .csv file
dataset = pandas.read_csv('snow_objects.csv', delimiter=""\t"")

#having a look at the data
dataset
import graphing # custom graphing code.

# Plot a histogram with counts for each label
graphing.multiple_histogram(dataset, label_x=""label"", label_group=""label"", title=""Label distribution"")
```


### MVCE confirmation

- [X] Minimal example — the example is as focused as reasonably possible to demonstrate the underlying issue in xarray.
- [ ] Complete example — the example is self-contained, including all data and the text of any traceback.
- [ ] Verifiable example — the example copy & pastes into an IPython prompt or [Binder notebook](https://mybinder.org/v2/gh/pydata/xarray/main?urlpath=lab/tree/doc/examples/blank_template.ipynb), returning the result.
- [X] New issue — a search of GitHub Issues suggests this is not a duplicate.

### Relevant log output

```Python
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Input In [3], in <cell line: 1>()
----> 1 import graphing # custom graphing code. See our GitHub repo for details
      3 # Plot a histogram with counts for each label
      4 graphing.multiple_histogram(dataset, label_x=""label"", label_group=""label"", title=""Label distribution"")

File /learn/graphing.py:9, in <module>
      7 from numpy.core.fromnumeric import repeat, shape
      8 import pandas
----> 9 import plotly.express as px
     10 import plotly.io as pio
     11 import plotly.graph_objects as graph_objects

File /anaconda/envs/py38_default/lib/python3.8/site-packages/plotly/express/__init__.py:15, in <module>
      9 if pd is None:
     10     raise ImportError(
     11         """"""\
     12 Plotly express requires pandas to be installed.""""""
     13     )
---> 15 from ._imshow import imshow
     16 from ._chart_types import (  # noqa: F401
     17     scatter,
     18     scatter_3d,
   (...)
     51     density_mapbox,
     52 )
     55 from ._core import (  # noqa: F401
     56     set_mapbox_access_token,
     57     defaults,
     58     get_trendline_results,
     59     NO_COLOR,
     60 )

File /anaconda/envs/py38_default/lib/python3.8/site-packages/plotly/express/_imshow.py:11, in <module>
      8 from plotly.utils import image_array_to_data_uri
     10 try:
---> 11     import xarray
     13     xarray_imported = True
     14 except ImportError:

File /anaconda/envs/py38_default/lib/python3.8/site-packages/xarray/__init__.py:1, in <module>
----> 1 from . import testing, tutorial
      2 from .backends.api import (
      3     load_dataarray,
      4     load_dataset,
   (...)
      8     save_mfdataset,
      9 )
     10 from .backends.rasterio_ import open_rasterio

File /anaconda/envs/py38_default/lib/python3.8/site-packages/xarray/testing.py:9, in <module>
      6 import numpy as np
      7 import pandas as pd
----> 9 from xarray.core import duck_array_ops, formatting, utils
     10 from xarray.core.dataarray import DataArray
     11 from xarray.core.dataset import Dataset

File /anaconda/envs/py38_default/lib/python3.8/site-packages/xarray/core/duck_array_ops.py:26, in <module>
     23 from numpy import take, tensordot, transpose, unravel_index  # noqa
     24 from numpy import where as _where
---> 26 from . import dask_array_compat, dask_array_ops, dtypes, npcompat, nputils
     27 from .nputils import nanfirst, nanlast
     28 from .pycompat import cupy_array_type, dask_array_type, is_duck_dask_array

File /anaconda/envs/py38_default/lib/python3.8/site-packages/xarray/core/dask_array_compat.py:60, in <module>
     56     return padded
     59 if da is not None:
---> 60     sliding_window_view = da.lib.stride_tricks.sliding_window_view
     61 else:
     62     sliding_window_view = None

AttributeError: module 'dask.array' has no attribute 'lib'
```


### Anything else we need to know?

This link may be useful : https://raw.githubusercontent.com/MicrosoftDocs/mslearn-introduction-to-machine-learning/main/graphing.py

### Environment


<details>
Environment Details and Warnings
/anaconda/envs/py38_default/lib/python3.8/site-packages/scipy/__init__.py:146: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.3
  warnings.warn(f""A NumPy version >={np_minversion} and <{np_maxversion}


</details>
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