/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

4 votes135 views1 answer
Python data structures
Python
204 votes277 views6 answers
Random int python
Python
2 votes138 views1 answer
Python range from n to 0
Python
0 vote167 views1 answer
How to add a name or a number to a list in python
Python
0 vote150 views1 answer
Calculate Euclidean Distance in Python using norm()
Python
0 vote142 views1 answer
Iterrrows
Python
0 vote160 views2 answers
Django get all models
Python
1 vote156 views1 answer
How to search where a character is in an array in python
Python
0 vote155 views1 answer
Ia
Python
0 vote152 views1 answer
Console code page (437) differs from Windows code page (1252) 8-bit characters might not work correctly
Python