week4/lfw_dataset.py

[zuenko]

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-4-856143fffc33> in <module>()
      8 #Those attributes will be required for the final part of the assignment (applying smiles), so please keep them in mind
      9 from lfw_dataset import load_lfw_dataset
---> 10 data,attrs = load_lfw_dataset(dimx=36,dimy=36)
     11 
     12 #preprocess faces

~/GitHub/intro-to-dl/week4/lfw_dataset.py in load_lfw_dataset(use_raw, dx, dy, dimx, dimy)
     52 
     53     # preserve photo_ids order!
---> 54     all_attrs = photo_ids.merge(df_attrs, on=('person', 'imagenum')).drop(["person", "imagenum"], axis=1)
     55 
     56     return all_photos, all_attrs

~/anaconda3/lib/python3.6/site-packages/pandas/core/frame.py in merge(self, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)
   6377                      right_on=right_on, left_index=left_index,
   6378                      right_index=right_index, sort=sort, suffixes=suffixes,
-> 6379                      copy=copy, indicator=indicator, validate=validate)
   6380 
   6381     def round(self, decimals=0, *args, **kwargs):

~/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/merge.py in merge(left, right, how, on, left_on, right_on, left_index, right_index, sort, suffixes, copy, indicator, validate)
     58                          right_index=right_index, sort=sort, suffixes=suffixes,
     59                          copy=copy, indicator=indicator,
---> 60                          validate=validate)
     61     return op.get_result()
     62 

~/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/merge.py in __init__(self, left, right, how, on, left_on, right_on, axis, left_index, right_index, sort, suffixes, copy, indicator, validate)
    552         # validate the merge keys dtypes. We may need to coerce
    553         # to avoid incompat dtypes
--> 554         self._maybe_coerce_merge_keys()
    555 
    556         # If argument passed to validate,

~/anaconda3/lib/python3.6/site-packages/pandas/core/reshape/merge.py in _maybe_coerce_merge_keys(self)
    976             # incompatible dtypes GH 9780, GH 15800
    977             elif is_numeric_dtype(lk) and not is_numeric_dtype(rk):
--> 978                 raise ValueError(msg)
    979             elif not is_numeric_dtype(lk) and is_numeric_dtype(rk):
    980                 raise ValueError(msg)

ValueError: You are trying to merge on int64 and object columns. If you wish to proceed you should use pd.concat

[ZEMUSHKA]

I cannot reproduce your error, it works fine both in Google Colab and Coursera Jupyter.
What version of pandas are you using?
Also try to re-download files for week4, maybe you have corrupted files.

[zuenko]

pandas 0.23.0
I redownload files and run it again, still got the same error.
Also, there are some problems with downloading week materials in Colab. They do not download, so I just used:

! wget http://www.cs.columbia.edu/CAVE/databases/pubfig/download/lfw_attributes.txt
! wget http://vis-www.cs.umass.edu/lfw/lfw-deepfunneled.tgz
! wget http://vis-www.cs.umass.edu/lfw/lfw.tgz

[ZEMUSHKA]

Colab has pandas 0.22.0, I'll take a look at 0.23.
Files download just fine in Colab for me, maybe you have a bad instance or something like that, we cannot control that.

[ZEMUSHKA]

Fixed for new pandas in master:

df_attrs.columns = list(df_attrs.columns)[1:] + ["NaN"]
df_attrs = df_attrs.drop("NaN", axis=1)