Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
7 years ago
Solved

Can't Display Python Visual

Hi,

 

I am trying to build a simple python visual:

 

# dataset = pandas.DataFrame(Amount, Sales)
# dataset = dataset.drop_duplicates()

# Paste or type your script code here:
import matplotlib.pyplot as plt
import seaborn as sns
sns.lmplot(x='Sales',y='Amount',data=dataset)
plt.show()
 
When I run the visual, I get the following DLL error:
 

Feedback Type:
Frown (Error)

Timestamp:
2019-04-29T20:25:13.0966956Z

Local Time:
2019-04-29T15:25:13.0966956-05:00

Session ID:
ee9d6f3f-0fc0-45cb-8a10-d6cc728af6d6

Release:
April, 2019

Product Version:
2.68.5432.661 (19.04) (x64)

Error Message:
Python script error.
Traceback (most recent call last):
File "PythonScriptWrapper.PY", line 2, in <module>
import os, matplotlib.pyplot, uuid, pandas
File "C:\Users\robstov\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\__init__.py", line 141, in <module>
from . import cbook, rcsetup
File "C:\Users\robstov\AppData\Local\Continuum\anaconda3\lib\site-packages\matplotlib\cbook\__init__.py", line 33, in <module>
import numpy as np
File "C:\Users\robstov\AppData\Local\Continuum\anaconda3\lib\site-packages\numpy\__init__.py", line 140, in <module>
from . import _distributor_init
File "C:\Users\robstov\AppData\Local\Continuum\anaconda3\lib\site-packages\numpy\_distributor_init.py", line 34, in <module>
from . import _mklinit
ImportError: DLL load failed: The specified module could not be found.

 

 

I installed Anaconda as my python directory and Visual Studio Code as my IDE:

 

  • Anonymous's avatar
    Anonymous
    7 years ago

    Figured it out. I guess Power BI does not support Python 3.6/3.7 currently, so I had to create an environment in Anaconda for Python 3.5.

     

    This solved it

1 Reply

  • Anonymous's avatar
    Anonymous
    Not applicable

    Figured it out. I guess Power BI does not support Python 3.6/3.7 currently, so I had to create an environment in Anaconda for Python 3.5.

     

    This solved it