On Thu, 21 Dec 2017 07:05:33 -0800, rafaeltfreire wrote: From docs.python.org:
8.10. copy — Shallow and deep copy operations Source code: Lib/copy.py Assignment statements in Python do not copy objects, they create bindings between a target and an object. For collections that are mutable or contain mutable items, a copy is sometimes needed so one can change one copy without changing the other. This module provides generic shallow and deep copy operations (explained below)... > Dear community, I am having the following problem when I am assigning > the elements of a vector below a certain number to zero or any other > value. > I am creating a new variable but Python edits the root variable. Why? > > import numpy as np > > X=np.arange(1, 10000, 1) #root variable x1=X x1[x1<10000]=0 > > print(X) > Out[1]: array([ 0., 0., 0., ..., 0., 0., 0.]) > > Why????????? It is supposed to be the original value Thank you for your > time Rafael -- MarkA We hang petty theives, and appoint the great theives to public office -- Aesop -- https://mail.python.org/mailman/listinfo/python-list
