Using matplotlibs contourf function with 1D vectors

Question

I have a large data set with files containing three also large single column vectors (backazimuth, frequency and power) for every day in a month. I would like to display the data on a polar plot using something like contourf. However, I am not sure how to reshape the power data into a 2D array. An example is below,

from pylab import *

x=rand(100)
y=rand(100)
z = rand(100)    # 1D

BAZ, FREQ = meshgrid(x, y)
ax = plt.subplot(111, polar=True)
contourf(BAZ, FREQ, z)       # z needs to be 2D

Any know how I can reshape z so this will work??? thanks, David

Have a look at this question (possible duplicate).

tiago
– tiago

2012-11-19 12:20:29 +00:00
Commented Nov 19, 2012 at 12:20 — tiago
– tiago, Commented Nov 19, 2012 at 12:20

Community · Accepted Answer · 2018-06-12 23:46:16Z

0

From link in tiago's comment above answer is,

x=rand(100)
y=rand(100)
z = rand(100) 

xgrid = np.linspace(x.min(), x.max(), 100)
ygrid = np.linspace(y.min(), y.max(), 100)
xgrid, ygrid = np.meshgrid(xgrid, ygrid)
zgrid = griddata((x,y),z, (xgrid, ygrid))

ax = plt.subplot(111, polar=True)
contourf(xgrid, ygrid, zgrid)

Thanks,
D.

edited Jun 12, 2018 at 23:46

CommunityBot

11 silver badge

answered Nov 19, 2012 at 12:45

Dave

1,2283 gold badges21 silver badges31 bronze badges

Sign up to request clarification or add additional context in comments.

Collectives™ on Stack Overflow

Using matplotlibs contourf function with 1D vectors

1 Answer 1

Comments

Your Answer

Linked

Hot Network Questions

Collectives™ on Stack Overflow

1 Answer 1

Comments

Your Answer

Sign up or log in

Post as a guest

Linked

Related