Traceback (most recent call last):


 "/Users/jche11/anaconda/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2862, in run_code

exec(code_obj, self.user_global_ns, self.user_ns)


 "<ipython-input-2-1a0b0bf45d07>", line 2, in <module>

wb.download(indicator='SP.POP.TOTL', country='WLD', start=1800, end=2100)


 "/Users/jche11/anaconda/lib/python3.6/site-packages/pandas_datareader/wb.py", line 379, in download

**kwargs).read()


 "/Users/jche11/anaconda/lib/python3.6/site-packages/pandas_datareader/wb.py", line 163, in read

return self._read()


 "/Users/jche11/anaconda/lib/python3.6/site-packages/pandas_datareader/wb.py", line 172, in _read

df = self._read_one_data(self.url + indicator, self.params)


 "/Users/jche11/anaconda/lib/python3.6/site-packages/pandas_datareader/base.py", line 81, in _read_one_data

out = self._get_response(url, params=params).json()


 "/Users/jche11/anaconda/lib/python3.6/site-packages/pandas_datareader/base.py", line 139, in _get_response

raise RemoteDataError('Unable to read URL: {0}'.format(url))
pandas_datareader._utils.RemoteDataError: Unable to read URL: http://api.worldbank.org/countries/WLD/indicators/SP.POP.TOTL?date=1800%3A2100&per_page=25000&format=json

Traceback (most recent call last):


 "C:\Program 
s\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1664, in <module>

main()


 "C:\Program 
s\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1658, in main

globals = debugger.run(setup['file'], None, None, is_module)


 "C:\Program 
s\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\pydevd.py", line 1068, in run

pydev_imports.execfile(file, globals, locals)
# execute the script


 "C:\Program 
s\JetBrains\PyCharm Community Edition 2018.1.4\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile

exec(compile(contents+"\n", file, 'exec'), glob, loc)


 "C:/Users/steve/Project/solarpanels/train_unet.py", line 9, in <module>

path = trainer.train(data_provider, "./model_unet", training_iters=32, epochs=100)


 "C:\Users\steve\AppData\Roaming\Python\Python36\site-packages\tf_unet-0.1.1-py3.6.egg\tf_unet\unet.py", line 422, in train

test_x, test_y = data_provider(self.verification_batch_size)


 "C:\Users\steve\AppData\Roaming\Python\Python36\site-packages\tf_unet-0.1.1-py3.6.egg\tf_unet\image_util.py", line 98, in __call__

X[i] = train_data
ValueError: could not broadcast input array from shape (470,773,1) into shape (470,772,1)
