/Python/Using pandas stack and subset to return a dataframe object of highly correated pairs

Using pandas stack and subset to return a dataframe object of highly correated pairs

# save absolute value of correlation matrix as a data frame
# converts all values to absolute value
# stacks the row:column pairs into a multindex
# reset the index to set the multindex to seperate columns
# sort values. 0 is the column automatically generated by the stacking

df= old_df.corr().abs().stack().reset_index().sort_values(0, ascending=False)

# zip the variable name columns (Which were only named level_0 and level_1 by default) 
# in a new column named "pairs".
df['pairs'] = list(zip(df.level_0, df.level_1))

# set index to pairs
df.set_index(['pairs'], inplace = True)

#d rop level columns
df.drop(columns=['level_1', 'level_0'], inplace = True)

# rename correlation column as cc rather than 0
df.columns = ['cc']

# drop duplicates. This could be dangerous if you have variables perfectly correlated with variables other than themselves.
# for the sake of exercise, kept it in.
df.drop_duplicates(inplace=True)

# subset to include desired range
df[(df.cc>.75) & (df.cc <1)]

Similar codes

0 vote322 views1 answer
How to interrupt a loop in python
Python
0 vote322 views1 answer
AttributeError: This QueryDict instance is immutable django
Python Django
30 votes304 views1 answer
Python generate folder if it not exist
Python
0 vote317 views1 answer
Find index of values greater than python
Python
7 votes324 views1 answer
How to check if file exists pyuthon
Python
30 votes325 views6 answers
Pandas drop columns
Python
1 vote351 views1 answer
Run django app locally
Python Django
0 vote353 views1 answer
Class dog_years: years = 0 __ fido=Dog() fido.years=3 print(fido.dog_years())
Python
15 votes311 views4 answers
Pandas select column by index
Python
0 vote305 views1 answer
How to add user input for a question python
Python