Importent python utility code

less than 1 minute read

Description

In this page I will try to give you some helpful python code blocks that we need to use for data preprocessing, machine learning and data visualization. I have collected them over the time from different sources and help files.

If lots of error/warning shows in jupyter notebook. you can stop showing warning massages

import warnings
warnings.filterwarnings('ignore')

import utility code that saved in your drive

import sys
sys.path.append('/home/ralfahad/MyMac/UtilityCodes')
# Example
from LDAAnalysis import LDA
LDA(X,y,50)

Save model and data in desk with pickle formate

import pickle
DM1={'DataMatDiagonal':DataMatDiagonal
      } # make dictionary of the datasets
f = open('DataMatDiagonal.pckl', 'wb')
pickle.dump(DM1, f)
f.close()
# Load the data/model
f = open('DataMatDiagonal.pckl', 'rb')
DM1 = pickle.load(f)
f.close()
DataMatDiagonal=DM1['DataMatDiagonal']

Remove a module form running jupyter notebook For example you change your utility code in local drive. If you don’t restart the kernel, you would not be able to access the changed function unless you delete the module. To delete the module use the code example

import sys
del sys.modules["PlotPCAVarienceExplanied"] # Module name PlotPCAVarienceExplanied

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