[PYTHON] Used in machine learning EDA

It is a memo of the code used so far intersection

intersection


a=['A','B','c']
b=['B']
c=a.intersection(b)

A function that outputs the intersection of arrays a and b I used it to calculate the Jackard coefficient.

stopword

stopword


from nltk.corpus import stopwords
stop_words = stopwords.words('english')
print(stop_words)

Get the English stopword. Used in Tweet's emotion prediction. ** What is stopword ** Common words excluded in natural language processing

treemap

treemap


from ploty import graph_objs as go
import plotly.express as px

fig=px.treemap(list,value='common',title='Tree of XXX')

It is an area graph. It seems that it can be used in various ways with data visualization.

I will continue to write down what I researched while studying.

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