vamseeachanta 6. Pairwise Analysis Control
6. Pairwise Analysis Control
Controlling Correlation Analysis:
import sweetviz as sv
import pandas as pd
import numpy as np
np.random.seed(42)
n = 2000
# Dataset with many features
df = pd.DataFrame({
f"feature_{i}": np.random.randn(n) for i in range(20)
})
df["target"] = np.random.choice([0, 1], n)
# Disable pairwise analysis for speed
report_fast = sv.analyze(
source=df,
target_feat="target",
pairwise_analysis="off" # Faster, no correlation matrix
)
# Enable pairwise analysis for full correlations
report_full = sv.analyze(
source=df,
target_feat="target",
pairwise_analysis="on" # Shows feature correlations
)
# Auto mode (default) - enables if < 20 features
report_auto = sv.analyze(
source=df,
target_feat="target",
pairwise_analysis="auto"
)
report_full.show_html("full_pairwise.html")