Vectorization Methods in Pandas: map, applymap, and apply
Pandas offers convenient methods for applying functions to data structures. map, applymap, and apply are three such methods that facilitate data manipulation and transformation. Each method serves a specific purpose, and their usage depends on the desired outcome.
map
map is employed when applying a function element-wise to a Series. It returns a new Series with the transformed values.
Example:
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applymap
applymap applies a function element-wise to a DataFrame. It creates a new DataFrame with the transformed values.
Example:
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apply
apply allows for more complex transformations by applying a function row- or column-wise to a DataFrame. It returns a Series or DataFrame with the results.
Example:
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