Autoviz Common Issues

Common Issues

Common Issues

Issue: Charts not displaying in Jupyter

# Solution: Use server format
%matplotlib inline
AV.AutoViz(filename="", dfte=df, chart_format="server")

Issue: Memory error with large dataset

# Solution: Reduce sample size
AV.AutoViz(
    filename="",
    dfte=df,
    max_rows_analyzed=25000,  # Reduce sample
    max_cols_analyzed=15      # Limit columns
)

Issue: Too many charts generated

# Solution: Limit columns analyzed
df_subset = df[["col1", "col2", "col3", "target"]]
AV.AutoViz(filename="", dfte=df_subset)

Issue: Categorical columns not recognized

# Solution: Convert to proper dtype
df["category"] = df["category"].astype("category")
AV.AutoViz(filename="", dfte=df)

Issue: Date columns causing issues

# Solution: Convert to datetime or extract features
df["date"] = pd.to_datetime(df["date"])
df["year"] = df["date"].dt.year
df["month"] = df["date"].dt.month
df_features = df.drop(columns=["date"])
AV.AutoViz(filename="", dfte=df_features)