UsefulLinks
Computer Science
Data Science
NumPy Library
1. Introduction to NumPy
2. The NumPy ndarray Object
3. Data Types in NumPy
4. Array Creation Techniques
5. Indexing and Slicing
6. Array Manipulation and Reshaping
7. Universal Functions (ufuncs)
8. Array Aggregation and Statistics
9. Broadcasting
10. Linear Algebra Operations
11. Random Number Generation
12. File Input and Output
13. Advanced NumPy Features
14. NumPy Ecosystem Integration
15. Best Practices and Common Pitfalls
6.
Array Manipulation and Reshaping
6.1.
Shape Manipulation
6.1.1.
reshape()
6.1.1.1.
Reshaping Constraints
6.1.1.2.
Automatic Dimension Inference
6.1.1.3.
Order Parameter
6.1.2.
resize()
6.1.3.
ravel()
6.1.4.
flatten()
6.1.5.
squeeze()
6.1.6.
expand_dims()
6.2.
Axis Manipulation
6.2.1.
transpose()
6.2.2.
swapaxes()
6.2.3.
moveaxis()
6.2.4.
rollaxis()
6.3.
Array Joining
6.3.1.
concatenate()
6.3.2.
vstack()
6.3.3.
hstack()
6.3.4.
dstack()
6.3.5.
stack()
6.3.6.
column_stack()
6.3.7.
row_stack()
6.4.
Array Splitting
6.4.1.
split()
6.4.2.
hsplit()
6.4.3.
vsplit()
6.4.4.
dsplit()
6.4.5.
array_split()
6.5.
Element Addition and Removal
6.5.1.
insert()
6.5.2.
append()
6.5.3.
delete()
6.5.4.
unique()
6.6.
Array Repetition
6.6.1.
tile()
6.6.2.
repeat()
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7. Universal Functions (ufuncs)