BUG: ValueError: buffer source array is read-only
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---

This seems similar to: https://github.com/pandas-dev/pandas/issues/31710 
I am getting it in a dash application, so it's difficult to get an example from there.
However,  isin() example from the above post also causes the error: 

#### Code Sample, a copy-pastable example

```python
>>> import numpy as np  # v1.16.4, then v1.18.1
>>> import pandas as pd  # v1.0.1
>>>
>>> arr = np.array([1,2,3], dtype=np.int64) # works fine if I don't set the dtype!
>>>
>>> arr.setflags(write=False) # make it read-only
>>>
>>> df = pd.DataFrame({"col": [2,4,8]})
>>>
>>> test = df.col.isin(arr)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/z0022z7b/anaconda3/envs/mindsynchro/lib/python3.8/site-packages/pandas/core/series.py", line 4685, in isin
    result = algorithms.isin(self, values)
  File "/home/z0022z7b/anaconda3/envs/mindsynchro/lib/python3.8/site-packages/pandas/core/algorithms.py", line 465, in isin
    return f(comps, values)
  File "pandas/_libs/hashtable_func_helper.pxi", line 566, in pandas._libs.hashtable.ismember_int64
  File "stringsource", line 658, in View.MemoryView.memoryview_cwrapper
  File "stringsource", line 349, in View.MemoryView.memoryview.__cinit__
ValueError: buffer source array is read-only
```

#### Problem description

The problem is this error. My application code worked fine  before, but I had to set it up on a new machine with new pandas and cython a couple days ago, and ran into this. 
(Previously I had
  - cython=0.29.14=py37he1b5a44_0
  - pandas=0.24.2=py37he6710b0_0
Don't know if the isin() example would have thrown an error with that) 

#### Output of ``pd.show_versions()``

'''
INSTALLED VERSIONS
------------------
commit           : db08276bc116c438d3fdee492026f8223584c477
python           : 3.8.6.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.15.0-118-generic
Version          : #119-Ubuntu SMP Tue Sep 8 12:30:01 UTC 2020
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.1.3
numpy            : 1.19.2
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.2.3
setuptools       : 49.6.0.post20201009
Cython           : 0.29.21
lxml.etree       : 4.5.2
jinja2           : 2.11.2
IPython          : 7.18.1
fsspec           : 0.8.4
fastparquet      : 0.4.1
matplotlib       : 3.3.2
pyarrow          : 0.17.1
scipy            : 1.5.2
xarray           : 0.16.1
numba            : 0.51.2
'''

</details>
