pip install happiestfuntokenizing
After installing the above we get an error on this import function
from happyfuntokenizing import Tokenizer as potts
ModuleNotFoundError
Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_7944/3774479977.py in <module>
----> 1 from happyfuntokenizing import Tokenizer as potts
ModuleNotFoundError: No module named 'happyfuntokenizing'
I tried looking for the solution but could not find one here....
However try using this and it will work
from happiestfuntokenizing.happiestfuntokenizing import Tokenizer as potts
-Cheers
from happiestfuntokenizing.happiestfuntokenizing import Tokenizer as potts
Related
I have created a python package called psmpy and I am struggling to import it back into my python library to check it's usage.
When I run, from psmpy import PsmPy I am getting the error:
ModuleNotFoundError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_12528/438942766.py in <module>
----> 1 from psmpy import PsmPy
ModuleNotFoundError: No module named 'psmpy'
But the module is up on pypi.org and I can see it installed when I run pip list in the list of current packages installed. Your help is greatly appreciated.
Is the DataFrameSelector in sklearn_features.transformers the only one? Or are there more?
I am getting the following error on running the following code in the Jupyter notebook.-
from sklearn_features.transformers import DataFrameSelector
ModuleNotFoundError Traceback (most recent call
last) in
----> 1 from sklearn_features.transformers import DataFrameSelector
ModuleNotFoundError: No module named 'sklearn_features
You need to install it before importing. It is not present in your python path
Try in a cell before the following command:
!pip install sklearn_features
and then
from sklearn_features.transformers import DataFrameSelector
Example from colab
Currently I am working on stack overflow tag predictor where I am using fasttext.
I install fasttext when I am running the line :
import fastText as fasttext
from fastText import train_supervised
I get the error
ImportError Traceback (most recent call last)
<ipython-input-176-72aec327c85a> in <module>
----> 1 from fastText import train_supervised
ImportError: cannot import name 'train_supervised' from 'fastText' (unknown location)
Can someone help me please.
I think fastText should be spelled as from fasttext import train_supervised.
This might help -https://github.com/facebookresearch/fastText/blob/master/python/doc/examples/train_supervised.py
I am trying to import following in jupyter notebook.
How do I import module Support_funcions?
from support_functions import calculate_accuracy, plot_confusion_matrix
Populating the interactive namespace from numpy and matplotlib
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-3-d809bed20d2c> in <module>
20
21 # Support functions import
---> 22 from support_functions import calculate_accuracy, plot_confusion_matrix
ModuleNotFoundError: No module named 'support_functions'
Make sure setup is correct for Python. Add the file for support_functions (support_functions.py question) to the systems python._pth file.
I am trying to use spark_df_profiling in pyspark databricks environment. I am getting the following error.
> pip install spark_df_profiling
from datetime import datetime
import spark_df_profiling
df = sql("select * from ab.data").cache()
ImportError: No module named 'spark_df_profiling'
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<command-2036534138125494> in <module>()
1 from datetime import datetime
----> 2 import spark_df_profiling
How do I solve the problem?
For Databricks, it may be best to use the dbutils.library.installPyPI method for installing packages.
dbutils.library.installPyPI("spark_df_profiling")
import spark_df_profiling