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Run Pandas Online

Run pandas DataFrames online with no install and no signup. Free in-browser Python pandas compiler with NumPy and Matplotlib pre-loaded.

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How it works

Run Pandas Online

This example demonstrates the core pandas workflow: creating a DataFrame, inspecting it, running descriptive statistics, filtering rows, and sorting.

What's happening

  • pd.DataFrame(data) — converts a Python dict into a tabular DataFrame
  • df['Score'].describe() — generates count, mean, std, min, quartiles, and max
  • df[df['Age'] > 28] — boolean indexing to filter rows by condition
  • df.sort_values('Score', ascending=False) — sorts rows by a column

    • Key pandas concepts

    OperationCode
    Create DataFramepd.DataFrame(dict)
    Filter rowsdf[df['col'] > value]
    Sortdf.sort_values('col')
    Statisticsdf.describe()
    All pandas, NumPy, and Matplotlib libraries are pre-loaded in PythonHere — no installation required.

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