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Error with from pycaret.classification import *

When I tried to run
from pycaret.classification import *
I received this error:
ImportError
Traceback (most recent call last)
<ipython-input-83-a8cb12878b37> in <module>()
----> 1 from pycaret.classification import *
8 frames
/usr/local/lib/python3.7/dist-packages/sklearn/metrics/pairwise.py in <module>()
30 from ..utils._mask import _get_mask
31 from ..utils.validation import _deprecate_positional_args
---> 32 from ..utils.fixes import sp_version, parse_version
33
34 from ._pairwise_fast import _chi2_kernel_fast, _sparse_manhattan
ImportError: cannot import name 'parse_version' from 'sklearn.utils.fixes'
(/usr/local/lib/python3.7/dist-packages/sklearn/utils/fixes.py)

I uninstalled Python and re-installed it and now it works but I don't know why

Try running this code !pip install markupsafe==2.0.1. Let me know if this helps.

Please try:
import pycaret.classification
Let me know if this works

A possible resolution is to create a fresh environment. Sometimes conflicting packages cause issues so working with a fresh environment can help you determine whether this is the issue.
Let me know if this helps.

I also ran into the same issue and found this solution helpful when working on google colab, although on Jupiter it didn't, so I created a virtual environment to work in, and it worked out smoothly.

ModuleNotFoundError: No module named 'thinc.neural'

I'm having trouble running my code, here are the results of the error I got :
--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) <ipython-input-35-d0706627a935> in <module>
1 # import the function to train using spaCy
----> 2 from train_spacy import train_spacy
~\TA\train_spacy.py in <module>
3 from spacy.util import minibatch, compounding
4 from spacy.util import decaying
----> 5 from thinc.neural.optimizers import Adam
6 import random
7 from matplotlib import pyplot as plt
ModuleNotFoundError: No module named 'thinc.neural'
The following are the related modules installed on my OS.
C:\Users\Anonymous>pip list | findstr spacy spacy 3.0.5 spacy-legacy 3.0.1 C:\Users\Anonymous>pip list | findstr thinc thinc 8.0.2
If there are other statements that I have not explained, please ask me, and I ask for your help because I have tried to reinstall the module but are still facing the same error, and I apologize if my language is wrong. Thank you ^ - ^

Since a few versions ago thinc was reorganized. Classes and functions should now be imported from thinc.api.
As you can see, Adam is referenced in https://github.com/explosion/thinc/blob/master/thinc/api.py.

ImportError: cannot import name _distributor_init

While trying to import scipy, I'm getting the following error :
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-7-4dc45f4c0083> in <module>()
----> 1 import scipy
C:\Users\admin\Anaconda2\lib\site-packages\scipy\__init__.py in <module>()
74
75 # Allow distributors to run custom init code
---> 76 from . import _distributor_init
77
78 __all__ += _num.__all__
ImportError: cannot import name _distributor_init
I have tried re-installing from pip by force reinstall, it says that scipy is up-to-date but then, loading it gives the above error. How do I resolve it? I'm using Python 2.x version.

I was getting the same error while using cx_freeze, i managed to make it work by simply commenting this line in the init.py of scipy (---> 76 from . import _distributor_init).
From what i read there: [Numpy-discussion] Hook in init.py to let distributors patch numpy
it simply enables more customization of checks, that i didn't need.
Scipy seems to work just fine without it.
Fyi I installed scipy without using anaconda, and i use python 3.6.
Hope this helps.

I use cx_Freeze and package have this error. I add this code to solve this problem:
self.build_exe_options = {
'includes': "scipy._distributor_init"
}

just upgrade your sklearn, upgrade everything and u will be fine

Datashader has snappy error

I was using python's datashader 0.5.0 package to plot population density information, generally following the tutorial https://www.continuum.io/blog/developer-blog/analyzing-and-visualizing-big-data-interactively-your-laptop-datashading-2010-us . I installed datashader using conda install -c bokeh datashader=0.5.0.
All was fine. Though perhaps unrelated, things seemed to break as soon as I installed the haloviews and geoviews packages. After installing these additional packages, I can no longer import datashader and my once working code no longer runs. When importing datashader, I get the following error:
AttributeError: module 'snappy' has no attribute 'compress'
I am running on windows 10, anaconda python 3.5.3.
Perhaps I'm going down the wrong rabbit hole, but I thought perhaps it was the snappy package. I ran "conda install -c conda-forge snappy=1.1.4". conda list reveals that snappy is installed. Snappy does import. The snappy.compress object is not found. My issue seems related to the following SO post as I also had a fastparquet error when trying geoviews: error with snappy while importing fastparquet in python
When running import snappy, print(snappy.__filename__) gives the following error:
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-5-b8565733b383> in <module>()
----> 1 import snappy; print(snappy.__file__)
AttributeError: module 'snappy' has no attribute '__file__'
I also tried uninstalling through both conda and pip just in case. Still no joy.
Running "pip install python-snappy" results in a "failed building wheel for python-snappy" error preceded with " error: Microsoft Visual C++ 14.0 is required..." So I went and got the "Microsoft Visual C++ Redistributable for Visual Studio 2017" and ran it, but had no change.
Any thoughts on how to resolve this? For reference, the full error on datashader import is as follows:
--------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-7-3d7b1ff9e530> in <module>()
----> 1 import datashader
C:\Python\lib\site-packages\datashader\__init__.py in <module>()
3 __version__ = '0.5.0'
4
----> 5 from .core import Canvas
6 from .reductions import (count, any, sum, min, max, mean, std, var, count_cat,
7 summary)
C:\Python\lib\site-packages\datashader\core.py in <module>()
3 import numpy as np
4 from datashape.predicates import istabular
----> 5 from odo import discover
6 from xarray import DataArray
7
C:\Python\lib\site-packages\odo\__init__.py in <module>()
63 from .backends.url import URL
64 with ignoring(ImportError):
---> 65 from .backends.dask import dask
66
67
C:\Python\lib\site-packages\odo\backends\dask.py in <module>()
8
9 from dask.array.core import Array, from_array
---> 10 from dask.bag.core import Bag
11 import dask.bag as db
12 from dask.compatibility import long
C:\Python\lib\site-packages\dask\bag\__init__.py in <module>()
1 from __future__ import absolute_import, division, print_function
2
----> 3 from .core import (Bag, Item, from_sequence, from_url, to_textfiles, concat,
4 from_delayed, map_partitions, bag_range as range,
5 bag_zip as zip, bag_map as map)
C:\Python\lib\site-packages\dask\bag\core.py in <module>()
30
31 from ..base import Base, normalize_token, tokenize
---> 32 from ..bytes.core import write_bytes
33 from ..compatibility import apply, urlopen
34 from ..context import _globals, defer_to_globals
C:\Python\lib\site-packages\dask\bytes\__init__.py in <module>()
2
3 from ..utils import ignoring
----> 4 from .core import read_bytes, open_files, open_text_files
5
6 from . import local
C:\Python\lib\site-packages\dask\bytes\core.py in <module>()
7 from warnings import warn
8
----> 9 from .compression import seekable_files, files as compress_files
10 from .utils import (SeekableFile, read_block, infer_compression,
11 infer_storage_options, build_name_function)
C:\Python\lib\site-packages\dask\bytes\compression.py in <module>()
30 with ignoring(ImportError):
31 import snappy
---> 32 compress['snappy'] = snappy.compress
33 decompress['snappy'] = snappy.decompress
34
AttributeError: module 'snappy' has no attribute 'compress'

It turns out that in adding packages, something messed up the snappy install. I followed this solution: How to install snappy C libraries on Windows 10 for use with python-snappy in Anaconda?
It was a snappy error, not a datashader issue, but I'll leave the post in case anyone has the same series of issues.

Jupyter (IPython) notebook numpy/pandas/matplotlib error (FreeBSD)

I am trying to set up a Jupyter notebook server at home. It has taken me a long time, but I have build and installed Python 3.4 and all the required packages from FreeBSD ports successfully. The notebook server is up and running fine, except every time when I try to import numpy:
In[1]: import numpy
The following errors occur:
ImportError Traceback (most recent call last)
<ipython-input-1-5a0bd626bb1d> in <module>()
----> 1 import numpy
/usr/local/lib/python3.4/site-packages/numpy/__init__.py in <module>()
178 return loader(*packages, **options)
179
--> 180 from . import add_newdocs
181 __all__ = ['add_newdocs',
182 'ModuleDeprecationWarning',
/usr/local/lib/python3.4/site-packages/numpy/add_newdocs.py in <module>()
11 from __future__ import division, absolute_import, print_function
12
---> 13 from numpy.lib import add_newdoc
14
15 ###############################################################################
/usr/local/lib/python3.4/site-packages/numpy/lib/__init__.py in <module>()
6 from numpy.version import version as __version__
7
----> 8 from .type_check import *
9 from .index_tricks import *
10 from .function_base import *
/usr/local/lib/python3.4/site-packages/numpy/lib/type_check.py in <module>()
9 'common_type']
10
---> 11 import numpy.core.numeric as _nx
12 from numpy.core.numeric import asarray, asanyarray, array, isnan, \
13 obj2sctype, zeros
/usr/local/lib/python3.4/site-packages/numpy/core/__init__.py in <module>()
12 os.environ[envkey] = '1'
13 env_added.append(envkey)
---> 14 from . import multiarray
15 for envkey in env_added:
16 del os.environ[envkey]
ImportError: /lib/libgcc_s.so.1: version GCC_4.6.0 required by /usr/local/lib/gcc48/libgfortran.so.3 not found
The error messages for importing pandas and matplotlib are different, but I suspect that has something to do with this numpy import error.
Strangely, all 3 packages work fine in Python and IPython consoles with no problems at all!
I have googled and made the following attempts:
delete and reinstall numpy -> no change
append numpy directory to sys.path -> no change
install a lot of other external packages just to see if it's only related to numpy -> they are all working fine in both consoles and notebook, except scipy giving some error related to numpy
Thank you for your help!

My gcc is version 4.2.1.
I have fixed this by setting the LD_LBRARY_PATH to /usr/local/lib/gcc48. gcc48 is already installed in my system.
To avoid setting the path every time, I've added the following line to /.cshrc:
setenv LD_LIBRARY_PATH /usr/local/lib/gcc48
edit:
This won't work is you want to start the notebook server automatically by adding to crontab:
#reboot /usr/local/bin/jupyter-notebook
the same error appears when trying to import numpy and modules depending on numpy
I fixed this by making a copy of /usr/local/bin/jupyter-notebook and added the following lines:
import sys
import re
----------------- add these 2 lines below --------------
import os
os.environ['LD_LIBRARY_PATH'] = '/usr/local/lib/gcc48'
....
Add the new file to crontab instead of jupyter-notebook.

The issue is not with your python modules. The error message at the bottom, where it says ImportError: /lib/libgcc_s.so.1: version GCC_4.6.0 required by /usr/local/lib/gcc48/libgfortran.so.3 not found indicates that it's a dependency error with the Fortran library. Apparently it wants gcc 4.6 or higher, and apparently you have a lower version installed. Not being familiar with Python libraries or your setup, my guess is that it could be an issue with /usr/ports/devel/py-fortran. I would recommend checking the gcc version on your machine with gcc -v and whatever fortran-related ports you have installed with pkg info and then take it from there.