Update README.md

Signed-off-by: David Rotermund <54365609+davrot@users.noreply.github.com>
This commit is contained in:
David Rotermund 2023-12-27 16:07:54 +01:00 committed by GitHub
parent fd413640ae
commit c5165a6507
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23

View file

@ -26,6 +26,15 @@ ndarray.byteswap(inplace=False)
> >
> If True, swap bytes in-place, default is False. > If True, swap bytes in-place, default is False.
```python
import numpy as np
v = np.uint16(255)
print(f"{v:016b}") # -> 0000000011111111
print(f"{v.byteswap():016b}") # -> 1111111100000000
```
## [numpy.bitwise_and](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_and.html) ## [numpy.bitwise_and](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_and.html)
@ -37,6 +46,21 @@ numpy.bitwise_and(x1, x2, /, out=None, *, where=True, casting='same_kind', order
> >
> Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &. > Computes the bit-wise AND of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator &.
```python
import numpy as np
a = [True, True, False, False]
b = [True, False, True, False]
u = 3
v = 5
print(f"{u:04b}") # -> 0011
print(f"{v:04b}") # -> 0101
print(np.bitwise_and(a, b)) # -> [ True False False False]
print(f"{np.bitwise_and(u, v):04b}") # -> 0001
```
## [numpy.bitwise_or](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_or.html) ## [numpy.bitwise_or](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_or.html)
@ -48,6 +72,22 @@ numpy.bitwise_or(x1, x2, /, out=None, *, where=True, casting='same_kind', order=
> >
> Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator \|. > Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator \|.
```python
import numpy as np
a = [True, True, False, False]
b = [True, False, True, False]
u = 3
v = 5
print(f"{u:04b}") # -> 0011
print(f"{v:04b}") # -> 0101
print(np.bitwise_or(a, b)) # -> [ True True True False]
print(f"{np.bitwise_or(u, v):04b}") # -> 0111
```
## [numpy.bitwise_xor](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_xor.html) ## [numpy.bitwise_xor](https://numpy.org/doc/stable/reference/generated/numpy.bitwise_xor.html)
```python ```python
@ -58,6 +98,22 @@ numpy.bitwise_xor(x1, x2, /, out=None, *, where=True, casting='same_kind', order
> >
> Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^. > Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^.
```python
import numpy as np
a = [True, True, False, False]
b = [True, False, True, False]
u = 3
v = 5
print(f"{u:04b}") # -> 0011
print(f"{v:04b}") # -> 0101
print(np.bitwise_xor(a, b)) # -> [False True True False]
print(f"{np.bitwise_xor(u, v):04b}") # -> 0110
```
## [bitwise_not](https://numpy.org/doc/stable/reference/generated/numpy.invert.html) ## [bitwise_not](https://numpy.org/doc/stable/reference/generated/numpy.invert.html)
> **bitwise_not is an alias for invert** > **bitwise_not is an alias for invert**
@ -72,6 +128,52 @@ numpy.invert(x, /, out=None, *, where=True, casting='same_kind', order='K', dtyp
> >
> For signed integer inputs, the twos complement is returned. > For signed integer inputs, the twos complement is returned.
```python
import numpy as np
a = [True, True, False, False]
u = 3
v = np.uint8(u)
print(f"{u:08b}") # -> 00000011
print(f"{v:08b}") # -> 00000011
print(np.bitwise_not(a)) # -> [False False True True]
print(f"{np.bitwise_not(u)}") # -> -4
print(f"{np.bitwise_not(v):08b}") # -> 11111100
```
## [numpy.left_shift](https://numpy.org/doc/stable/reference/generated/numpy.left_shift.html)
```python
numpy.left_shift(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
```
> Shift the bits of an integer to the left.
>
> Bits are shifted to the left by appending x2 0s at the right of x1. Since the internal representation of numbers is in binary format, this operation is equivalent to multiplying x1 by 2**x2
## [numpy.right_shift](https://numpy.org/doc/stable/reference/generated/numpy.right_shift.html)
```python
numpy.right_shift(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
```
> Shift the bits of an integer to the right.
>
> Bits are shifted to the right x2. Because the internal representation of numbers is in binary format, this operation is equivalent to dividing x1 by 2**x2.
## [numpy.binary_repr](https://numpy.org/doc/stable/reference/generated/numpy.binary_repr.html)
```python
numpy.binary_repr(num, width=None)
```
> Return the binary representation of the input number as a string.