Agent skill
autoviz-common-issues
Sub-skill of autoviz: Common Issues.
Install this agent skill to your Project
npx add-skill https://github.com/vamseeachanta/workspace-hub/tree/main/.claude/skills/_archive/data/analysis/autoviz/common-issues
SKILL.md
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)
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