What are the key features of pandas in Python?
Pandas is a powerful data manipulation library in Python. Key features include DataFrame and Series data structures, data alignment, handling of missing data, and powerful data aggregation and grouping capabilities.
Can you explain what a DataFrame is?
A DataFrame is a two-dimensional, size-mutable, and potentially heterogeneous tabular data structure with labeled axes (rows and columns). It is similar to a spreadsheet or SQL table.
How does pandas handle missing data?
Pandas provides several methods to handle missing data, such as dropna()
to remove missing values and fillna()
to fill them with a specified value or method.
What are some common operations I can perform with pandas?
Common operations include data filtering, aggregation, merging/joining datasets, reshaping data, and time series analysis.
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