As a complete data processing platform, AiPy supports reading and writing operations of six major data formats such as CSV, Excel, JSON, SQLite, Parquet and so on. Its data processing capabilities through the cleaning (missing value processing), conversion (type correction), calculation (derived fields), aggregation (grouping statistics), sorting, filtering and other aspects of the whole process, and integrated matplotlib visualization engine to achieve more than ten kinds of charts automatically generated.
In terms of technical implementation, the tool adopts a dynamic dependency detection mechanism: when a user requests to "calculate product sales ranking", the system automatically checks whether pandas exists or not; if it needs to "generate heat maps", it verifies the installation status of seaborn. Tests show that when using AiPy to process standard sales data sets, the time from data import to visualization output can be shortened by 85% compared with writing code manually.
This answer comes from the articleAiPy: automating the task of running Python code for data analysisThe
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