I am working on some NLP task, trying to import normalize_corpus from the normalization module.
I am getting the below error.
from normalization import normalize_corpus
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-13-5919bba55473> in <module>()
----> 1 from normalization import normalize_corpus
ImportError: cannot import name 'normalize_corpus'
The normalization module you have installed (probably https://pypi.org/project/normalization/) does not correspond to the code you are trying to run (possibly from "Text Analytics with Python").
Uninstall the normalization module and track down the code from the book. (A place to start: https://github.com/dipanjanS/text-analytics-with-python)
For whoever lands here because you are reading "Text analytics with Python". The author of the book is referring to a custom script they built and is hosted in the first edition - chapter 4 or 5 -
https://github.com/dipanjanS/text-analytics-with-python/blob/master/Chapter-4/normalization.py
https://github.com/dipanjanS/text-analytics-with-python/blob/b4f6cefc9dd96e2a3e74e01bda391019bd7fb053/Old-First-Edition/Ch05_Text_Summarization/normalization.py
Related
I'd seen previous errors importing form JAX from several years ago (https://github.com/google/jax/issues/372), but the post implied an update would fix it. I just installed JAX and am trying to get set up on a jupyter notebook. Could you let me know what might be going wrong?
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Input In [1], in <cell line: 4>()
1 ########## JAX ON MNIST #####################
2 # Import some additional JAX and dataloader helpers
3 from jax.scipy.special import logsumexp
----> 4 from jax.experimental import optimizers
6 import torch
7 from torchvision import datasets, transforms
ImportError: cannot import name 'optimizers' from 'jax.experimental' (/Users/XXX/opt/anaconda3/lib/python3.9/site-packages/jax/experimental/__init__.py)
I saw that the similar previous error was in 2019 and implied a version difference would fix it. I did not know where to go from there.
According to the CHANGELOG
jax 0.3.16
Deprecations:
Removed jax.experimental.optimizers; it has long been a deprecated alias of jax.example_libraries.optimizers.
So it sounds like if you're using JAX version 0.3.16 or newer, you should do
from jax.example_libraries import optimizers
But as noted in the jax.example_libraries.optimizers documentation, this is not well-supported code and you'll probably have a better experience with something like Optax or JAXopt.
Good morning,
i want to test the hdbscan (Hierarchical Density-Based Spatial Clustering of Applications w/ Noise)using GPU so i should use the framework rapids.
When i tried to follow the steps described here https://colab.research.google.com/drive/1rY7Ln6rEE1pOlfSHCYOVaqt8OvDO35J0#forceEdit=true&sandboxMode=true&scrollTo=EwaJSKuswsNi
taken from Rapids website: https://rapids.ai/start.html
i get the following error when i run the code of the function CUDF:
import cudf
import io, requests
# download CSV file from GitHub
url="https://github.com/plotly/datasets/raw/master/tips.csv"
content = requests.get(url).content.decode('utf-8')
# read CSV from memory
tips_df = cudf.read_csv(io.StringIO(content))
tips_df['tip_percentage'] = tips_df['tip']/tips_df['total_bill']*100
# display average tip by dining party size
print(tips_df.groupby('size').tip_percentage.mean())
ValueError Traceback (most recent call last)
<ipython-input-1-a95ca25217db> in <module>()
----> 1 import cudf
2 import io, requests
3
4 # download CSV file from GitHub
5 url="https://github.com/plotly/datasets/raw/master/tips.csv"
2 frames
/usr/local/lib/python3.7/site-packages/cudf/_lib/__init__.py in <module>()
2 import numpy as np
3
----> 4 from . import (
5 avro,
6 binaryop,
cudf/_lib/avro.pyx in init cudf._lib.avro()
cudf/_lib/column.pyx in init cudf._lib.column()
cudf/_lib/scalar.pyx in init cudf._lib.scalar()
cudf/_lib/interop.pyx in init cudf._lib.interop()
ValueError: pyarrow.lib.Codec size changed, may indicate binary incompatibility. Expected 48 from C header, got 40 from PyObject
could you please help me.
thanks an advance
Colab made some enhancements this week that affected the RAPIDS installation process. Work toward a resolution is active, and progress is being tracked in this issue (which includes a potential workaround)
Please help, I get the error below running jupyter notebook.
import numpy as np
import pandas as pd
from helper import boston_dataframe
np.set_printoptions(precision=3, suppress=True)
Error:
ImportError Traceback (most recent call last)
<ipython-input-3-a6117bd64450> in <module>
1 import numpy as np
2 import pandas as pd
----> 3 from helper import boston_dataframe
4
5
ImportError: cannot import name 'boston_dataframe' from 'helper' (/Users/irina/opt/anaconda3/lib/python3.8/site-packages/helper/__init__.py)
Since you are not giving the where you get the notebook, I have to guess that you get it from this course Supervised Learning: Regression provided IBM.
In the zip folder in week 1, it provides helper.py.
What you need to do it is to change the directory to where this file is. Change IPython/Jupyter notebook working directory
Alternatively, you can load boston data from sklearn then load it to Pandas Dataframe
Advices for you:
Learn how to use Jupyter notebook
Learn how Python import work
Learn how to provide information in a question so that no one need to guess
I'm learning how to use qiskit and I'm using the jupyter notebook, but everytime I try to visualize the circuit with the attribute draw I get this error:
import qiskit
from qiskit import *
from qiskit import IBMQ
qr = QuantumRegister(2)
cr = ClassicalRegister(2)
circuit = QuantumCircuit(qr, cr)
%matplotlib inline
circuit.draw(output='mpl')
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-8-bd220039ee1c> in <module>
----> 1 circuit.draw(output='mpl')
AttributeError: module 'qiskit.circuit' has no attribute 'draw'
I also try applying a Hadamard gate and I get:
circuit.h(qr(0))
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-59-c8b4318b743b> in <module>
----> 1 circuit.h(qr(0))
AttributeError: module 'qiskit.circuit' has no attribute 'h'
It seems that there is a name conflict. It is taking the circuit in from qiskit import circuit instead of circuit = ....
You just probably need to restat your notebook kernel.
Try another name for your circuit variable, right now python thinks you want the qiskit.circuit module to draw something. QuantumCircuit objects are the ones that have a draw method. You can see these two objects here if you call both, note I put one qubit and classical bit in the QuantumCircuit just per example as well you do not need the dots here it is just to make it more clear, just running circuit and QuantumCircuit(1,1) respectively would yield the same result.
You would get desired results if you tried a different variable name:
When I try using the variable name circuit it works for me, but try to use descriptive variable names that also could never be confused with modules or classes from the packages you import.
Also all your import statements can be combined into 1:
from qiskit import *
The star lets you import everything from qiskit including IBMQ. It can help you save a line or two.
import glob
from os.path import join
import yt
from yt.config import ytcfg
path = ytcfg.get("yt", "test_data_dir")
from mpl_toolkits.mplot3d import Axes3D
my_fns = glob.glob(join(path, "Orbit", "puredef_hdf5_chk_000000"))
my_fns.sort()
fields = ["particle_velocity_x", "particle_velocity_y", "particle_velocity_z"]
ds = yt.load(my_fns[:])
dd = ds.all_data()
indices = dd["particle_index"].astype("int")
print (indices)
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-27-1bae40a7b7ba> in <module>
1 ds = yt.load(my_fns[:])
----> 2 dd = ds.all_data()
3 indices = dd["particle_index"].astype("int")
4 print (indices)
AttributeError: 'DatasetSeries' object has no attribute 'all_data'
I have looked at other posts on here, but many of them deal with different aspects of this error that deals with lens or other statements.
I had exactly the same error recently, with a very similar code. First of all, a mistake I did was giving the code the symbolic links to the real data files, while it should work directly with the data.
Another issue was a problem with the installation of the yt library, version 3.6.1. I had installed it using the pip command, but it wasn't working well, so I uninstalled it and I used the "all-in-one" script they provide on their homepage.
Fixing these two things together solved completely this problem.