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# Search for variables that are very similar | |
def show_similars(cols, threshold=0.90): | |
for i1, col1 in enumerate(cols): | |
for i2, col2 in enumerate(cols): | |
if (i1<i2): | |
cm12 = pd.crosstab(dfX[col1], dfX[col2]).values # contingency table | |
cv12 = cramers_corrected_stat(cm12) # Cramer V statistic | |
if (cv12 > threshold): | |
print((col1, col2), int(cv12*100)) | |
show_similars(['basin','region','region_code','district_code','lga'], 0.95) | |
# Output : | |
# ('region', 'region_code') 99 | |
# ('region', 'lga') 99 | |
# ('region_code', 'lga') 97 |
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