!qfTHdfJVUSCjrvSsUo:matrix.org

Python Científico

449 Members
Python + Ciencia en español3 Servers

Load older messages


Timestamp Message
18 Dec 2018
14:20:17@telegram_5639215:t2bot.ioAntonio Álvarez (Telegram)No lo hace ya al trabajar con decimales? Pensaba que sí, pero ahora tengo dudas😂
14:21:53@telegram_2924680:t2bot.ioOscar Lozano (Telegram)Yo pensaba eso pero pierdo precisión en operaciones con muchos decimales
14:22:27@telegram_2924680:t2bot.ioOscar Lozano (Telegram)Si almaceno una variable con 10 decimales
14:22:58@telegram_2924680:t2bot.ioOscar Lozano (Telegram)Por más que le pida que me lo muestre luego con tantos decimales , los últimos me los pone a cero o cambiados
14:23:54@telegram_5639215:t2bot.ioAntonio Álvarez (Telegram)Quizás el tipo de dato Decimal o usar numpy.float128?
14:23:56@telegram_5639215:t2bot.ioAntonio Álvarez (Telegram) https://stackoverflow.com/questions/6663272/double-precision-floating-values-in-python
14:24:43@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
>>> import numpy as np
>>> np.array([1.0]).dtype
dtype('float64')
14:24:52@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)python ya trabaja por defecto con flotantes de 64 bit
14:25:18@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)si estás perdiendo decimales, ¿no será que estás haciendo alguna resta y estás sufriendo "catastrophic cancellation"?
14:25:39@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
In reply to Oscar Lozano (Telegram)
Si almaceno una variable con 10 decimales
¿cómo estás controlando el número de decimales?
14:29:56@telegram_2924680:t2bot.ioOscar Lozano (Telegram)
In reply to Juan Luis Cano (Telegram)
¿cómo estás controlando el número de decimales?
Perdona, no lo estoy haciendo , pq ya estoy haciendo pruebas por el terminal y por eso se lo datos que meto
14:30:55@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
>>> "%.12f" % 1.1231231231
'1.123123123100'
14:31:43@telegram_2924680:t2bot.ioOscar Lozano (Telegram)Si, al pedirle que me los muestre lo hago asi
14:48:21@telegram_59004152:t2bot.ioJavi Blasco (Telegram) quiero hacer lo siguiente en pandas, y reconozco que es una libreria que me puede... El objetivo es, de un DataFrame, copiar ciertas lineas, cambiarles el valor a dos columnas, anhadirlas a un nuevo dataframe. Al hacerlo tal cual sugiere el enunciado (un .loc seguido de la asignacion de las columnas que cambio y anhadir con un .append a la nueva tabla va a velocidad negativa... Ideas?
14:49:08@telegram_52246437:t2bot.ioJuan Ignacio Rodríguez De León (Telegram)La representación de números decimales no es exacta si se está usando IEEE754
14:49:20@telegram_52246437:t2bot.ioJuan Ignacio Rodríguez De León (Telegram)En python y en cualquier otro lenguaje
14:50:41@telegram_52246437:t2bot.ioJuan Ignacio Rodríguez De León (Telegram)Por ejemplo, 0.1 no tiene representación exacta
14:52:36@telegram_52246437:t2bot.ioJuan Ignacio Rodríguez De León (Telegram)Prueba a hacer '%.32f' % 0.1
14:53:24@telegram_52246437:t2bot.ioJuan Ignacio Rodríguez De León (Telegram)
Edit to Juan Ignacio Rodríguez De León (Telegram)
En python y en cualquier otro lenguaje
Edit: En python y en cualquier otro lenguaje (que use IEEE754)
16:16:12@telegram_625659137:t2bot.ioIsrael Andrade (Telegram) Artificial Inteligence international Whatsapp Group
(Only talk in english)
Link:
https://chat.whatsapp.com/DGERKi6CWsc0MeuPs0fnOw
16:44:13@telegram_625659137:t2bot.ioIsrael Andrade (Telegram)👍
17:20:52@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram) > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:52:23@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
Edit to Juan Luis Cano (Telegram)
> A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (`Slerp`), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:52:23@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
Edit to Juan Luis Cano (Telegram)
> A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (`Slerp`), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random` ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:52:24@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
Edit to Juan Luis Cano (Telegram)
> A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (`Slerp`), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:52:24@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
Edit to Juan Luis Cano (Telegram)
> A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations (``Slerp``), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
(`spatial.transform.Rotation`), and uniform random sampling of 3D rotations (`spatial.transform.Rotation.random`).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:52:32@telegram_2397373:t2bot.ioJuan Luis Cano (Telegram)
Edit to Juan Luis Cano (Telegram)
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles,
and general rotation and inversion capabilities
( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities ( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
17:55:51@telegram_12629175:t2bot.ioDiegura (Telegram)
In reply to Juan Luis Cano (Telegram)
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities ( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
❤️
19:19:54@telegram_46397939:t2bot.ioDavid (Telegram)
In reply to Juan Luis Cano (Telegram)
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities ( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
Wow. ☺️☺️☺️👏👏👏
22:19:20@telegram_192866561:t2bot.ioAriel Silvio N. RAMOS.- (Telegram)
In reply to Juan Luis Cano (Telegram)
Edit: > A new category of quaternion-based transformations are available in scipy.spatial.transform, including spherical linear interpolation of rotations ( Slerp ), conversions to and from quaternions, Euler angles, and general rotation and inversion capabilities ( spatial.transform.Rotation ), and uniform random sampling of 3D rotations ( spatial.transform.Rotation.random ).

SciPy 1.2.0 https://docs.scipy.org/doc/scipy-1.2.0/reference/release.1.2.0.html#scipy-spatial-improvements
😳😳😳😄😄😀👍👍👍

There are no newer messages yet.


Back to Room List