ImportError in Jupyter Notebook - python

I am trying import a module in Jupyter and it is not working:
import alyn
ImportError Traceback (most recent call last)
<ipython-input-8-8e9535ea4303> in <module>()
----> 1 import alyn
~\Anaconda3\envs\tracx\lib\site-packages\alyn\__init__.py in <module>()
1 """ Import required modules"""
----> 2 from deskew import *
3 from skew_detect import *
ImportError: No module named 'deskew'
I don't quite understand why, since the package in question has a correct init.py file:
whose contents are:
""" Import required modules"""
from deskew import *
from skew_detect import *
What am I missing?
P.S.
This is all taking place on Windows 10.

Well, I've figured it out!
Turns out that the package I was trying to import is written in Python 2 and its init file is using the relative import mechanism. However, I am working in Python 3 and relative import is no longer supported in it. The init file can be made to work in Python 3 by adding a . in both lines, like this:
""" Import required modules"""
from .deskew import *
from .skew_detect import *
I think this should be backward compatible with Python 2.

Related

cannot import name 'MSELossFlat' from 'fastai.layers'

I am running the code https://github.com/thiagodma/Pytorch_exs/blob/master/MultiTaskLearning/multitask_age_gender_ethnicity_resnet34.ipynb on Colab.
As I write:
from fastai import *
from fastai.vision import *
from fastai.layers import MSELossFlat, CrossEntropyFlat
from torchvision import transforms
import warnings
warnings.filterwarnings("ignore")
files_train = get_image_files("utkface_aligned_cropped/UTKFace")
files_valid = get_image_files("utkface_aligned_cropped/crop_part1")
I get the error:
ImportError Traceback (most recent call last)
<ipython-input-4-07ceae9afcad> in <module>()
1 from fastai import *
2 from fastai.vision import *
----> 3 from fastai.layers import MSELossFlat, CrossEntropyFlat
4 from torchvision import transforms
5 import warnings
ImportError: cannot import name 'MSELossFlat' from 'fastai.layers' (/usr/local/lib/python3.7/dist-packages/fastai/layers.py)
This is probably because you are referring to a code snippet that used the fastai v2 library. In the newest fastai, the MSELossFlat function can be imported at fastai.losses.
But since you are trying out an old code snippet, it's best to reproduce the execution enviroment of that code to get an expected result. I would recommend trying to install fastai v2 on your environment and execute the code again.

ModuleNotFoundError: No module named 'xagg.wrappers'

I am trying to import a package 'xagg' but it gives me the error described below. I managed to install 'xagg' but the following error popped up when I try to import it
Here is the command line
import xagg as xa
The error I got:
ModuleNotFoundError Traceback (most recent call last)
Input In [15], in <module>
----> 1 import xagg as xa
File ~\AppData\Roaming\Python\Python39\site-packages\xagg\__init__.py:5, in <module>
1 # Eventually restrict to just pixel_overlaps and aggregate; with
2 # everything else happening behind the scenes (and the exporting
3 # happening as methods to the classes that are exported from those
4 # two functions)
----> 5 from .wrappers import pixel_overlaps
6 from .aux import (normalize,fix_ds,get_bnds,subset_find)
7 from .core import aggregate
ModuleNotFoundError: No module named 'xagg.wrappers'
OS: Windows
pip install wrapper
I hope it work

How to import "gleam" package in Python 3?

I'm tyring to import the "gleam" package in Python 3. I have installed the "gleam" package successfully, but still it showing error.
from wtforms import fields
from ggplot import *
from gleam import Page, panels
class ScatterInput(panels.Inputs):
title = fields.StringField(label="Title of plot:")
yvar = fields.SelectField(label="Y axis",
choices=[("beef", "Beef"),
("pork", "Pork")])
smoother = fields.BooleanField(label="Smoothing Curve")
class ScatterPlot(panels.Plot):
name = "Scatter"
def plot(self, inputs):
p = ggplot(meat, aes(x='date', y=inputs.yvar))
if inputs.smoother:
p = p + stat_smooth(color="blue")
p = p + geom_point() + ggtitle(inputs.title)
return p
class ScatterPage(Page):
input = ScatterInput()
output = ScatterPlot()
ScatterPage.run()
Error:
ModuleNotFoundError - Traceback (most> recent call last) in ()
----> 1 import gleam
C:\pythonNJ\lib\site-packages\gleam__init__.py in ()
5 import os
6 import json
----> 7 import urlparse
8 from collections import namedtuple
9
ModuleNotFoundError: No module named 'urlparse'
I looked for the solution and I found that urlparse has been moved to a new module in python 3, which can be imported as
from urllib.parse import urlparse
And I even imported it, but still when I trying to import "gleam" package it shows error of module "urlparse". Can you suggest me how to bypass it (bypassing import urlparse statement and importing gleam package in Python 3).
I know how to import the urlparse but I don't know how to import the gleam package.
You have two possiblities:
Modify source code yourself as you stated inside gleam package, but it could work incorrectly.
Fall back to version of python it works on - so 2.7 it seems, since the modification you mentioned was done with python 3.0 release. It's stated in docs here.
Just do this to get over it:
from:
import urlparser
to:
import urllib.parse

python from . import fails

Trying caffe python examples from: http://caffe.berkeleyvision.org/tutorial/interfaces.html gives me error:
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
caffe_root = '/opt/caffe'
import sys
sys.path.insert(0, caffe_root + 'python')
import caffe
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-5-18cb333d5c1b> in <module>()
7 sys.path.insert(0, caffe_root + 'python')
8
----> 9 import caffe
...
...
/usr/lib/python2.7/site-packages/scipy/signal/__init__.py in <module>()
272 from __future__ import division, print_function, absolute_import
273
--> 274 from . import sigtools
275 from .waveforms import *
276 from ._max_len_seq import max_len_seq
ImportError: cannot import name sigtools
Apparently the sigtools import fails, but I can't figure out why. The /usr/lib/python2.7/site-packages/scipy/signal contains all files:
$ ls -1 /usr/lib/python2.7/site-packages/scipy/signal/sign*
/usr/lib/python2.7/site-packages/scipy/signal/signaltools.py
/usr/lib/python2.7/site-packages/scipy/signal/signaltools.pyc
In general, how python process directives like this, specifically what dot is resolved to if my working directory was completely different from the location where sigtools package is located?
from . import sigtools
As stated here:
`from ... import` vs `import .`
"from . import sigtools" imports the main module "." (which is "signal") than imports the object/module sigtools. If "." has been already imported it rely on that structure.
I think that this can be tricky in case you have 2 modules with the same name in the python import path: the interpreter imports the first one found and never imports the second one. If the second one has more modules than the first one, this can lead to something similar to your problem.

About Graphlab library importing

In Ubuntu 14.04, I have installed Graphlab based on https://dato.com/download/install-graphlab-create-command-line.html and it seems to be working fine.
However, I receive this error when trying to use a recommender module:
import graphlab
from graphlab.recommender import ranking_factorization_recommender
In the first line, graphlab is imported without any error. However, the second line causes this error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-5-34df81ffb957> in <module>()
----> 1 from graphlab.recommender import ranking_factorization_recommender
ImportError: No module named recommender
How can the problem be solved? Thanks
It's just a namespace issue. recommender actually lives in the `toolkits module, so this should work:
import graphlab
from graphlab.toolkits.recommender import ranking_factorization_recommender
Graphlab has already imported everything for you in their __init__.py file.
Just do:
from graphlab import ranking_factorization_recommender
from graphlab import <any_other_recommender>
Here is a snippet of graphlab.__init__.py file:
from graphlab.util import get_runtime_config
from graphlab.util import set_runtime_config
import graphlab.connect as _mt
import graphlab.connect.aws as aws
from . import visualization
import os as _os
import sys as _sys
if _sys.platform != 'win32' or \
(_os.path.exists(_os.path.join(_os.path.dirname(__file__), 'cython', 'libstdc++-6.dll')) and \
_os.path.exists(_os.path.join(_os.path.dirname(__file__), 'cython', 'libgcc_s_seh-1.dll'))):
from graphlab.data_structures.sgraph import Vertex, Edge
from graphlab.data_structures.sgraph import SGraph
from graphlab.data_structures.sarray import SArray
from graphlab.data_structures.sframe import SFrame
from graphlab.data_structures.sketch import Sketch
from graphlab.data_structures.image import Image
from graphlab.data_structures.sgraph import load_sgraph, load_graph
from graphlab.toolkits._model import Model, CustomModel
import graphlab.aggregate
import graphlab.toolkits
import graphlab.toolkits.clustering as clustering
import graphlab.toolkits.distances as distances
...

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