Nothing goes wrong : My question is sage has already lot of functions
which don't need numpy, but if there is one function which needs numpy I
will have to add it. And arange needs np then I am asking if there a way
to do it in sage without using numpy, I am not an expert in sage and I
try to keep to pure command, I don't like to import lot of libs as they
are already declare in sage, I think is redondant... Then I just wanted
to know if there a way of doing np.arange but only with sage (not
importing numpy), for example matplolib uses lot of declaration like
plt... when i do a plot I only use plot(), I prefer look to sage plot
commands (even if they are from matplotlib) that's why I appreciate
sage, for latex it's very easy to have it straight because the libs are
in sage. I use sage to do lot of work maths graphs draw music ... etc,
then I just add them with sage -pip and after I have nothing to remenber
for me sage is a kind of wisiwigsage all-in-one. I am a user not a
developer (pity for me... I would like to know this better), sage is the
best tool for math in my way. Easy, well documented and much more... I
do a lot of things (maybe not academic) but suiting to my needs... At
the moment I am in antic chinese music and this requires geometry /
music / math... sage do all :)
Regards
Henri
Le 09/01/2018 à 13:34, Simon King a écrit :
Hi,
On 2018-01-09, Girard Henri <[email protected]> wrote:
Am 09.01.2018 um 12:18 schrieb Girard Henri:
An exemple
from matplotlib import pyplot as plt
from scipy.io import wavfile
import numpy as np
samplerate,data=wavfile.read("test.wav")
times=np.arange(len(data))/float(samplerate)
plt.plot(data[:1000])
What exactly goes wrong if you do the above in Sage? Please be more
specific.
In another message to me, you wrote:
Most of the time I don't want to make heavier "import"... First because
I don't master it and it's much better to do sqrt() instead np.sqrt() or
np.pi()
I don't see why sqrt() is better than np.sqrt().
Anyway, as usual in Python, you can import functions like this:
sage: from numpy import sqrt
sage: sqrt
<ufunc 'sqrt'>
sage: sqrt(4)
2.0
sage: type(_)
<type 'numpy.float64'>
The disadvantage is that it overwrites Sage's sqrt() function. That's why
I believe it is better to do np.sqrt().
Best regards,
Simon
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