Which api to learn?

I've never used matlab (and hope never to have to). But I've been using pyplot
api for mpl for quite a while.

Is there any good reason to move to the "native" mpl api and drop pyplot? I ask
because as I understand, pyplot is intended as a matlab workalike, and since I
never learned matlab I have no need for that crutch. OTOH, I'm quite used to
the pyplot api at this point.

I wrote up my answer to this question on stackoverflow once: https://stackoverflow.com/questions/19895262/when-to-use-the-matplotlib-pyplot-class-and-when-to-use-the-plot-object-matplot/21004357#21004357

Others may have different opinions or variations on the theme, but this is how I look at the issue. It is also the reason why I don’t want to deprecate pylab (but do want to keep it out of examples).

Cheers!
Ben Root

···

On Wed, Apr 30, 2014 at 7:49 AM, Neal Becker <ndbecker2@…287…> wrote:

I’ve never used matlab (and hope never to have to). But I’ve been using pyplot

api for mpl for quite a while.

Is there any good reason to move to the “native” mpl api and drop pyplot? I ask

because as I understand, pyplot is intended as a matlab workalike, and since I

never learned matlab I have no need for that crutch. OTOH, I’m quite used to

the pyplot api at this point.


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The only pyplot function I let myself use is plt.subplots() to quickly create the Figure and Axes objects. From that point on, I operate on those objects directly. Frankly, it reads almost exactly like pyplot code, but it is a lot more clear what’s going on.

···

On Wed, Apr 30, 2014 at 4:49 AM, Neal Becker <ndbecker2@…287…> wrote:

I’ve never used matlab (and hope never to have to). But I’ve been using pyplot

api for mpl for quite a while.

Is there any good reason to move to the “native” mpl api and drop pyplot? I ask

because as I understand, pyplot is intended as a matlab workalike, and since I

never learned matlab I have no need for that crutch. OTOH, I’m quite used to

the pyplot api at this point.


"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE

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unparalleled scalability from the best Selenium testing platform available.

Simple to use. Nothing to install. Get started now for free."

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99.9% of the time I am using pyplot, as it usually does what I want without me having to understand an api.
I don't care so much if pyplot agrees with matlab or not, but it should be something easy that new users can pick up quickly.

Best,
-Michiel

···

--------------------------------------------
On Wed, 4/30/14, Neal Becker <ndbecker2@...287...> wrote:

Subject: [Matplotlib-users] Which api to learn?
To: matplotlib-users@lists.sourceforge.net
Date: Wednesday, April 30, 2014, 7:49 AM

I've never used matlab (and hope
never to have to). But I've been using pyplot
api for mpl for quite a while.

Is there any good reason to move to the "native" mpl api and
drop pyplot? I ask
because as I understand, pyplot is intended as a matlab
workalike, and since I
never learned matlab I have no need for that crutch.
OTOH, I'm quite used to
the pyplot api at this point.

------------------------------------------------------------------------------
"Accelerate Dev Cycles with Automated Cross-Browser Testing
- For FREE
Instantly run your Selenium tests across 300+ browser/OS
combos. Get
unparalleled scalability from the best Selenium testing
platform available.
Simple to use. Nothing to install. Get started now for
free."
http://p.sf.net/sfu/SauceLabs
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi Neal,

I always followed what has been written here:

http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related

And they said,

···

------------------
Matplotlib, pylab, and pyplot: how are they related?

Matplotlib is the whole package; pylab is a module in matplotlib that
gets installed alongside matplotlib; andmatplotlib.pyplot is a module
in matplotlib.

Pyplot provides the state-machine interface to the underlying plotting
library in matplotlib. This means that figures and axes are implicitly
and automatically created to achieve the desired plot. For example,
calling plot from pyplot will automatically create the necessary
figure and axes to achieve the desired plot. Setting a title will then
automatically set that title to the current axes object:

import matplotlib.pyplot as plt

plt.plot(range(10), range(10))
plt.title("Simple Plot")
plt.show()

Pylab combines the pyplot functionality (for plotting) with the numpy
functionality (for mathematics and for working with arrays) in a
single namespace, making that namespace (or environment) even more
MATLAB-like. For example, one can call the sin and cos functions just
like you could in MATLAB, as well as having all the features of
pyplot.

The pyplot interface is generally preferred for non-interactive
plotting (i.e., scripting). The pylab interface is convenient for
interactive calculations and plotting, as it minimizes typing. Note
that this is what you get if you use the ipython shell with the -pylab
option, which imports everything from pylab and makes plotting fully
interactive.
------------------

-Shawn

On Thu, May 1, 2014 at 2:16 AM, Michiel de Hoon <mjldehoon@...9...> wrote:

99.9% of the time I am using pyplot, as it usually does what I want without me having to understand an api.
I don't care so much if pyplot agrees with matlab or not, but it should be something easy that new users can pick up quickly.

Best,
-Michiel

--------------------------------------------
On Wed, 4/30/14, Neal Becker <ndbecker2@...287...> wrote:

Subject: [Matplotlib-users] Which api to learn?
To: matplotlib-users@lists.sourceforge.net
Date: Wednesday, April 30, 2014, 7:49 AM

I've never used matlab (and hope
never to have to). But I've been using pyplot
api for mpl for quite a while.

Is there any good reason to move to the "native" mpl api and
drop pyplot? I ask
because as I understand, pyplot is intended as a matlab
workalike, and since I
never learned matlab I have no need for that crutch.
OTOH, I'm quite used to
the pyplot api at this point.

------------------------------------------------------------------------------
"Accelerate Dev Cycles with Automated Cross-Browser Testing
- For FREE
Instantly run your Selenium tests across 300+ browser/OS
combos. Get
unparalleled scalability from the best Selenium testing
platform available.
Simple to use. Nothing to install. Get started now for
free."
http://p.sf.net/sfu/SauceLabs
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users

------------------------------------------------------------------------------
"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE
Instantly run your Selenium tests across 300+ browser/OS combos. Get
unparalleled scalability from the best Selenium testing platform available.
Simple to use. Nothing to install. Get started now for free."
http://p.sf.net/sfu/SauceLabs
_______________________________________________
Matplotlib-users mailing list
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--
Yuxiang "Shawn" Wang
Gerling Research Lab
University of Virginia
yw5aj@...809...
+1 (434) 284-0836
https://sites.google.com/a/virginia.edu/yw5aj/

“”"
The pyplot interface is generally preferred for non-interactive

plotting (i.e., scripting). The pylab interface is convenient for

interactive calculations and plotting, as it minimizes typing. Note

that this is what you get if you use the ipython shell with the -pylab

option, which imports everything from pylab and makes plotting fully

interactive.
“”"

Gotta remember to update this paragraph… the -pylab option has been long deprecated, and is supposedly about to be removed in an upcoming release of ipython.

Ben Root

···

On Thu, May 1, 2014 at 10:38 AM, Yuxiang Wang <yw5aj@…809…> wrote:

Hi Neal,

I always followed what has been written here:

http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related

And they said,


Matplotlib, pylab, and pyplot: how are they related?

Matplotlib is the whole package; pylab is a module in matplotlib that

gets installed alongside matplotlib; andmatplotlib.pyplot is a module

in matplotlib.

Pyplot provides the state-machine interface to the underlying plotting

library in matplotlib. This means that figures and axes are implicitly

and automatically created to achieve the desired plot. For example,

calling plot from pyplot will automatically create the necessary

figure and axes to achieve the desired plot. Setting a title will then

automatically set that title to the current axes object:

import matplotlib.pyplot as plt

plt.plot(range(10), range(10))

plt.title(“Simple Plot”)

plt.show()

Pylab combines the pyplot functionality (for plotting) with the numpy

functionality (for mathematics and for working with arrays) in a

single namespace, making that namespace (or environment) even more

MATLAB-like. For example, one can call the sin and cos functions just

like you could in MATLAB, as well as having all the features of

pyplot.

The pyplot interface is generally preferred for non-interactive

plotting (i.e., scripting). The pylab interface is convenient for

interactive calculations and plotting, as it minimizes typing. Note

that this is what you get if you use the ipython shell with the -pylab

option, which imports everything from pylab and makes plotting fully

interactive.


-Shawn

On Thu, May 1, 2014 at 2:16 AM, Michiel de Hoon <mjldehoon@…9…> wrote:

99.9% of the time I am using pyplot, as it usually does what I want without me having to understand an api.

I don’t care so much if pyplot agrees with matlab or not, but it should be something easy that new users can pick up quickly.

Best,

-Michiel


On Wed, 4/30/14, Neal Becker <ndbecker2@…287…> wrote:

Subject: [Matplotlib-users] Which api to learn?

To: matplotlib-users@lists.sourceforge.net

Date: Wednesday, April 30, 2014, 7:49 AM

I’ve never used matlab (and hope

never to have to). But I’ve been using pyplot

api for mpl for quite a while.

Is there any good reason to move to the “native” mpl api and

drop pyplot? I ask

because as I understand, pyplot is intended as a matlab

workalike, and since I

never learned matlab I have no need for that crutch.

OTOH, I’m quite used to

the pyplot api at this point.


"Accelerate Dev Cycles with Automated Cross-Browser Testing

  • For FREE

Instantly run your Selenium tests across 300+ browser/OS

combos. Get

unparalleled scalability from the best Selenium testing

platform available.

Simple to use. Nothing to install. Get started now for

free."

http://p.sf.net/sfu/SauceLabs


Matplotlib-users mailing list

Matplotlib-users@lists.sourceforge.net

https://lists.sourceforge.net/lists/listinfo/matplotlib-users


"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE

Instantly run your Selenium tests across 300+ browser/OS combos. Get

unparalleled scalability from the best Selenium testing platform available.

Simple to use. Nothing to install. Get started now for free."

http://p.sf.net/sfu/SauceLabs


Matplotlib-users mailing list

Matplotlib-users@lists.sourceforge.net

https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Yuxiang “Shawn” Wang

Gerling Research Lab

University of Virginia

yw5aj@…809…

+1 (434) 284-0836

https://sites.google.com/a/virginia.edu/yw5aj/


"Accelerate Dev Cycles with Automated Cross-Browser Testing - For FREE

Instantly run your Selenium tests across 300+ browser/OS combos. Get

unparalleled scalability from the best Selenium testing platform available.

Simple to use. Nothing to install. Get started now for free."

http://p.sf.net/sfu/SauceLabs


Matplotlib-users mailing list

Matplotlib-users@lists.sourceforge.net

https://lists.sourceforge.net/lists/listinfo/matplotlib-users