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Pandas DataFrame fillna() Method Guide

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Basic Concept: fillna() method replaces NaN values in Pandas DataFrames
Missing values can cause issues during analysis and modeling
Key Parameters: Value parameter specifies replacement type (static, dictionary, array, Series)
Method parameter determines filling method (backfill, bfill, pad, ffill, None)
Axis parameter controls replacement along rows (0) or columns (1)
Inplace parameter determines whether to modify original DataFrame
Limit parameter controls number of consecutive NaN replacements
Usage Examples: Replace NaN with static values using fillna()
Use 'ffill' for forward filling, 'bfill' for backward filling
Set axis parameter to perform replacement along rows or columns
Modify DataFrame inplace by setting inplace=True
Limit number of replacements using limit parameter
Accept additional keyword arguments for customization