The plot panel works well but it is very simple.
But, is there any trick or technique to zoom in and out better (something like what in Matlab can be performed)
To qualitatively evaluate the data through data visualization, Spyder's Plot panel is really weak.
atomicwrites >=1.2.0 : 1.3.0 (OK)
chardet >=2.0.0 : 3.0.4 (OK)
cloudpickle >=0.5.0 : 1.3.0 (OK)
diff_match_patch >=20181111 : 20181111 (OK)
intervaltree : None (OK)
IPython >=4.0 : 7.13.0 (OK)
jedi =0.14.1 : 0.14.1 (OK)
nbconvert >=4.0 : 5.6.1 (OK)
numpydoc >=0.6.0 : 0.9.2 (OK)
pexpect >=4.4.0 : 4.8.0 (OK)
pickleshare >=0.4 : 0.7.5 (OK)
psutil >=0.3 : 5.7.0 (OK)
pygments >=2.0 : 2.6.1 (OK)
pylint >=0.25 : 2.4.4 (OK)
pyls >=0.31.2;<0.32.0 : 0.31.9 (OK)
zmq >=17 : 18.1.1 (OK)
qdarkstyle >=2.7 : 2.8 (OK)
qtawesome >=0.5.7 : 0.7.0 (OK)
qtconsole >=4.6.0 : 4.7.2 (OK)
qtpy >=1.5.0 : 1.9.0 (OK)
rtree >=0.8.3 : 0.9.3 (OK)
sphinx >=0.6.6 : 2.4.4 (OK)
spyder_kernels >=1.8.1;<2.0.0: 1.8.1 (OK)
watchdog : None (OK)
cython >=0.21 : 0.29.15 (OK)
matplotlib >=2.0.0 : 3.1.3 (OK)
numpy >=1.7 : 1.18.1 (OK)
pandas >=0.13.1 : 1.0.3 (OK)
scipy >=0.17.0 : 1.4.1 (OK)
sympy >=0.7.3 : 1.5.1 (OK)
For data visualization you should plot in interactive mode. You can do that either from the preferences by selecting Automatic or by issuing the %matplotlib qt5 command in the console.


@jnsebgosselin I think we need to provide an easy an more "茂ntuitive"way of exposing this functionality without needin to know to much about magics or backends.
Maybe a toolbar button plus a context menu entry to make it clear?
Thoughts?
Yes definitively. I will work on that.
Thank you guys so much for your comments and contributions.
For me, it is actually convenient to set the plotting style/output by writing the code in the console and then get the plot, inline or automatic or qt5 or ...
Thanks a lot. It really helped me now in signal processing.
Closing because the initial question was answered.