TypeError: no supported conversion for types: (dtype('float64'), dtype('O'))

[网易邮箱]

Hi all,

When I was running the code: mir = pysal.Moran(y, w, permutations = 999), I got the following error: 

  File "<ipython-input-30-f405f4662ccd>", line 1, in <module>

    mir = pysal.Moran(y, w, permutations = 999)

  File "C:\Anaconda\Anaconda3\lib\site-packages\pysal\esda\moran.py", line 151, in __init__

    self.I = self.__calc(self.z)

  File "C:\Anaconda\Anaconda3\lib\site-packages\pysal\esda\moran.py", line 216, in __calc

    zl = slag(self.w, z)

  File "C:\Anaconda\Anaconda3\lib\site-packages\pysal\weights\spatial_lag.py", line 86, in lag_spatial

    return w.sparse * y

  File "C:\Anaconda\Anaconda3\lib\site-packages\scipy\sparse\base.py", line 466, in __mul__

    return self._mul_vector(other)

  File "C:\Anaconda\Anaconda3\lib\site-packages\scipy\sparse\compressed.py", line 456, in _mul_vector

    other.dtype.char))

  File "C:\Anaconda\Anaconda3\lib\site-packages\scipy\sparse\sputils.py", line 60, in upcast_char

    t = upcast(*map(np.dtype, args))

  File "C:\Anaconda\Anaconda3\lib\site-packages\scipy\sparse\sputils.py", line 52, in upcast

    raise TypeError('no supported conversion for types: %r' % (args,))

TypeError: no supported conversion for types: (dtype('float64'), dtype('O'))

I would appreciate if anyone can help me with this. Thank you!

Jay

 

[Levi John Wolf]

Without your data, it's impossible to tell. But, the fact that your error is a TypeError during the calculation of the spatial lag, and its message is about finding a conversion between dtype('float64') and dtype('O') (which stands for "object") suggests your y vector isn't a numerical vector. try using y.astype(float)? 

---
Levi John Wolf
Lecturer in Quantitative Human Geography | University of Bristol
Fellow | Center for Spatial Data Science, University of Chicago
Fellow | Alan Turing Institute for Data Science & Machine Learning
Director | Q-Step Program, University of Bristol
ljwolf.org

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[网易邮箱]

Thanks for your reply.Please see the attached for the y vector. I tried with y.astype(float), but it did not work. Thank you!

[Levi John Wolf]

Hmm, your data can be made into a float. I had no problem doing:

pandas.read_csv('Y.csv').Y.astype(float)

In order for us to help further, you need to provide a reproducible example (code + data that someone else can run in full) for us to understand what's going on. 

---
Levi John Wolf
Lecturer in Quantitative Human Geography | University of Bristol
Fellow | Center for Spatial Data Science, University of Chicago
Fellow | Alan Turing Institute for Data Science & Machine Learning
Director | Q-Step Program, University of Bristol
ljwolf.org