2022-02-25 11:24:58, INFO: Converting variable type to MetCouncil standard
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
c:\lasso\lasso\roadway.py in convert_int(self, int_col_names)
1116 self.links_df[c] = self.links_df[c].replace(np.nan, 0)
-> 1117 self.links_df[c] = self.links_df[c].astype(int)
1118 except:
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\generic.py in astype(self, dtype, copy, errors)
5697 # else, only a single dtype is given
-> 5698 new_data = self._data.astype(dtype=dtype, copy=copy, errors=errors)
5699 return self._constructor(new_data).__finalize__(self)
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\managers.py in astype(self, dtype, copy, errors)
581 def astype(self, dtype, copy: bool = False, errors: str = "raise"):
--> 582 return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
583
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\managers.py in apply(self, f, filter, **kwargs)
441 else:
--> 442 applied = getattr(b, f)(**kwargs)
443 result_blocks = _extend_blocks(applied, result_blocks)
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\blocks.py in astype(self, dtype, copy, errors)
624 try:
--> 625 values = astype_nansafe(vals1d, dtype, copy=True)
626 except (ValueError, TypeError):
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\dtypes\cast.py in astype_nansafe(arr, dtype, copy, skipna)
873 if np.issubdtype(dtype.type, np.integer):
--> 874 return lib.astype_intsafe(arr.ravel(), dtype).reshape(arr.shape)
875
pandas\_libs\lib.pyx in pandas._libs.lib.astype_intsafe()
ValueError: invalid literal for int() with base 10: ''
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-81-0e2b6783f220> in <module>
----> 1 m_net.roadway_standard_to_met_council_network()
c:\lasso\lasso\roadway.py in roadway_standard_to_met_council_network(self, output_epsg)
1190 WranglerLogger.info("Splitting variables by time period and category")
1191 self.split_properties_by_time_period_and_category()
-> 1192 self.convert_int()
1193
1194 self.links_metcouncil_df = self.links_df.copy()
c:\lasso\lasso\roadway.py in convert_int(self, int_col_names)
1117 self.links_df[c] = self.links_df[c].astype(int)
1118 except:
-> 1119 self.links_df[c] = self.links_df[c].astype(float)
1120 self.links_df[c] = self.links_df[c].astype(int)
1121
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\generic.py in astype(self, dtype, copy, errors)
5696 else:
5697 # else, only a single dtype is given
-> 5698 new_data = self._data.astype(dtype=dtype, copy=copy, errors=errors)
5699 return self._constructor(new_data).__finalize__(self)
5700
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\managers.py in astype(self, dtype, copy, errors)
580
581 def astype(self, dtype, copy: bool = False, errors: str = "raise"):
--> 582 return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
583
584 def convert(self, **kwargs):
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\managers.py in apply(self, f, filter, **kwargs)
440 applied = b.apply(f, **kwargs)
441 else:
--> 442 applied = getattr(b, f)(**kwargs)
443 result_blocks = _extend_blocks(applied, result_blocks)
444
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\internals\blocks.py in astype(self, dtype, copy, errors)
623 vals1d = values.ravel()
624 try:
--> 625 values = astype_nansafe(vals1d, dtype, copy=True)
626 except (ValueError, TypeError):
627 # e.g. astype_nansafe can fail on object-dtype of strings
c:\programdata\anaconda3\envs\lasso_env\lib\site-packages\pandas\core\dtypes\cast.py in astype_nansafe
Describe the bug
Failing to convert to integer on writing out
To Reproduce
Steps to reproduce the behavior:
Failing tests
Triggering line of code
Thoughts on resolution
Full stack trace
Environment
Operating system:
Context (conda, jupyter, etc):
Environment (e.g. output from
conda list):