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  • Dec 02 2020 08:54
    samuelsinayoko opened #40
  • Aug 24 2020 07:48
    cool-RR opened #39
  • Aug 21 2018 21:43
    kdorr opened #38
  • Aug 21 2018 21:40
    kdorr opened #37
  • Aug 21 2018 21:40
    kdorr opened #36
  • Aug 21 2018 21:39
    kdorr opened #35
  • Aug 21 2018 18:50
    palnabarun synchronize #34
  • Aug 21 2018 18:28
    palnabarun synchronize #34
  • Aug 21 2018 04:36
    palnabarun synchronize #18
  • Aug 21 2018 01:27
    palnabarun opened #34
  • Aug 21 2018 01:24
    palnabarun assigned #33
  • Aug 21 2018 01:24
    palnabarun opened #33
  • Aug 20 2018 23:55
    kdorr synchronize #24
  • Aug 20 2018 23:52
    kdorr synchronize #26
  • Aug 20 2018 23:51
    kdorr synchronize #23
  • Aug 20 2018 23:47
    kdorr synchronize #25
  • Aug 20 2018 22:22
    kdorr synchronize #22
  • Aug 20 2018 21:49
    kdorr synchronize #24
  • Aug 20 2018 21:36
    kdorr synchronize #26
  • Aug 20 2018 00:03
    story645 closed #21
hannah
@story645
k
Nabarun Pal
@palnabarun

Altair way

alt.Chart(cars).mark_point().encode(
    x='Acceleration:Q',
    y='Miles_per_Gallon:Q',
    color='Origin:N'
)

Matplotlib Way

for car in cars['Origin'].unique():
    d_ = cars[cars['Origin'] == car]
    plt.scatter(data=d_, x='Acceleration', y='Miles_per_Gallon')

Is it the above correct for MPL or is there a better way?

hannah
@story645
plt.scatter(data=d_, x='Acceleration', y='Miles_per_Gallon', color="continuous_var")
make a legend:
patches = [mpatches.Patch(color=c, label=l) for c, l in zip(colors, labels)]
ax3.legend(patches, labels, ncol=1, loc=6)
context: http://story645.github.io/jekyll/update/2016/08/22/color.html
todo: https://github.com/matplotlib/matplotlib/projects/3#card-10641918
hannah
@story645
matplotlib/matplotlib#4369
https://github.com/matplotlib/matplotlib/pulls?q=is%3Apr+is%3Aclosed+label%3Acategorical
Nabarun Pal
@palnabarun

Some excerpts from the notes that I make

Altair Basic Encoding Options

  • Position Channels
    • x
    • y
    • x2
    • y2
    • longitude
    • latitude
    • longitude2
    • latitude2
  • Mark Channels
    • Color
    • Fill
    • Shape
    • Opacity
    • Size
    • Stroke
  • Text and Tooltip Channels
    • text
    • key
    • tooltip
  • Hyperlink Channel
    • href
  • Level of Detail Channel
    • detail
  • Order Channel
    • order
  • Facet Channel
    • column
    • row

Detailed Ref

hannah
@story645
for a first pass, support Position (no geo) channels, and Mark channels that have counterparts in matplotlib (throw NotImplemented Errors for encodings that are not yet supported like opacity)
hannah
@story645
hi ya'll, hows' it going?
kdorr
@kdorr
It's going pretty well. I have the convert_quantitative() function pretty much working and done. I haven't implemented support for aggregate functions yet. Right now, I'm working on adding the convert_temporal() function. I'm not very happy with the organization of my code right now, but I'm working to just get something written first and then I'll go back and refactor.
hannah
@story645
Oh! Forgot to tell you but I expect aggregate functions to happen way down the timeline
so ok to not worry about 'em/throw a not implemented error for now
olease open a PR on convert_quant
kdorr
@kdorr
I’ve made PRs for convert quant and convert temporal. Should I refactor/clean up what I have, or is there something else I should work on?
hannah
@story645
awesome. @tacaswell or I will figure out how to get travis to work
does this week Friday at 11:00 work for @/all ?
kdorr
@kdorr
I'm out of town on Friday.
hannah
@story645
ok, will put out a doodle for tomorrow and thursday
https://doodle.com/poll/kap2q7ucicfua8ze
hannah
@story645
also @kdorr and @palnabarun the next step is getting the convertors working with an axis - so setting up ticks and the like for the data
hannah
@story645
meet.google.com/bvd-onma-fmw
sorry, forgot to give you the hangout
Nabarun Pal
@palnabarun
Is the meeting now?
hannah
@story645
should be
Nabarun Pal
@palnabarun
Okay. Joining.
hannah
@story645
did doodle not send you an invite?
kdorr
@kdorr
I didn't get an invite.
hannah
@story645
eek, sorry!
Nabarun Pal
@palnabarun
No.
hannah
@story645
also give me a minute 'cause I can't seem to get anything working
@palnabarun try again
Nabarun Pal
@palnabarun
I am trying to get in using my Gmail ID. My university account doesnot not support Meet.
hannah
@story645
ok, the metting got rescheduled for 1:40 and I'm gonna see if I can switch to hangouts 'cause meet is annoying
Nabarun Pal
@palnabarun
1:40EDT?
hannah
@story645
yes
Nabarun Pal
@palnabarun
Okay
hannah
@story645
thanks
hannah
@story645
okay, try meet.google.com/bvd-onma-fmw again
let me know if it doesn't work
hannah
@story645
https://github.com/matplotlib/mpl-altair/pull/4/files#diff-c7adcc7c9b1e29ae5de98d6d95258699R38
hannah
@story645
https://github.com/matplotlib/pytest-mpl
hannah
@story645
#5 is breaking for the same reasons as @kdorr 's PRs
Nabarun Pal
@palnabarun
I think #5 is breaking because of reduced code coverage.
Test's are passing for me
hannah
@story645
ack, sorry I meant #9
hannah
@story645
Hi @kdorr , @palnabarun already saw this but someone online was asking for the matplotlib/Altair code comparisons. Would both of you be interested in making blog posts with your comparisons? (Numfocus would likely promote them)
Also, are you both available next Monday 10AM est for a call in/check?
kdorr
@kdorr
I'd be open to writing a blog post. To make sure I'm on the same page, do you mean code comparisons where we show the code that produces the same plot in both Matplotlib and Altair?I'm available at that time for a call.