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Pandas DataFrame loc[] Usage Guide
sparkbyexamples.com/pandas/pandas-dataframe-loc/Yapay zekadan makale özeti
- Basic Concept
- DataFrame.loc[] selects rows and columns by labels or boolean arrays
- DataFrame represents two-dimensional tabular data with labeled axes
- loc[] generates new DataFrame containing selected columns
- Key Parameters
- START specifies initial row/column label
- STOP defines final row/column label to include
- STEP defines number of indices to progress after extraction
- Selection Methods
- Single row/column selection by label
- Multiple rows/columns selection using indexing
- Selection between two index labels
- Selection between two column names
- Selection between alternate rows/columns
- Additional Features
- Supports boolean arrays for filtering rows
- Can be used for both data access and value setting
- Raises KeyError if label is not present
- Different from iloc[] which uses integer-based indexing