Reputation: 1
I was using jupyter notebook using pip
and all libraries were working fine. But from today, it suddenly started showing the following error on every library. I don't know what happened.
It is working fine in Conda.
import pandas as pd
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-1-7dd3504c366f> in <module>()
----> 1 import pandas as pd
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\pandas\__init__.py in <module>()
11 for dependency in hard_dependencies:
12 try:
---> 13 __import__(dependency)
14 except ImportError as e:
15 missing_dependencies.append(dependency)
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\numpy\__init__.py in <module>()
140 from . import _distributor_init
141
--> 142 from . import core
143 from .core import *
144 from . import compat
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\numpy\core\__init__.py in <module>()
55 from . import umath
56 from . import _internal # for freeze programs
---> 57 from . import numerictypes as nt
58 multiarray.set_typeDict(nt.sctypeDict)
59 from . import numeric
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\numpy\core\numerictypes.py in <module>()
109 )
110
--> 111 from ._type_aliases import (
112 sctypeDict,
113 sctypeNA,
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\numpy\core\_type_aliases.py in <module>()
61 _concrete_typeinfo[k] = v
62
---> 63 _concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
64
65
c:\users\aamir siddiqui\appdata\local\programs\python\python36\lib\site-packages\numpy\core\_type_aliases.py in <setcomp>(.0)
61 _concrete_typeinfo[k] = v
62
---> 63 _concrete_types = {v.type for k, v in _concrete_typeinfo.items()}
64
65
AttributeError: 'tuple' object has no attribute 'type'
Upvotes: 0
Views: 196
Reputation: 11
have you update tesorflow to 1.12?
i encountered the same situation when i udate tensor flow to 1.12.
So i pip install tensorflow==1.10.0
,it worked.
Upvotes: 1