Hi everybody
I wanted to collect a combination of plots to insert then in a subplot.
I choose to create Line2D objects to use the .add_line() method of the
AxesSubplot class, but unfortunately this does lead to the desired
results.
Here my dummy version:
``from
matplotlib.lines import Line2D
from matplotlib.pyplot import figure, show
import numpy as np
def subplot_foo(n):
""" returns a the combination of 2 Line2D instances """
x = np.arange(0, 200, 0.1)
y = np.random.randn(len(x))
print len(x)
#y2 = y+n
line1 = Line2D(x, y, color = 'k')
#line2 = Line2D(x,y2, 'r')
#return line1+line2
return line1
fig = figure() # create Figure object
for i in range(1,5):
ax = fig.add_subplot(2,2,i)
ax.add_line(subplot_foo(i))
show()
First, the Line2D object does not represent
the plot I want to create.
Second, I cannot collect various Line2D objects into a Subplot.
Any good idea around?
You might want to look at LineCollection objects.
Ben Root
ยทยทยท
On Monday, December 20, 2010, Jose Guzman <sjm.guzman@...982...> wrote:
Hi everybody
I wanted to collect a combination of plots to insert then in a subplot.
I choose to create Line2D objects to use the .add_line() method of the
AxesSubplot class, but unfortunately this does lead to the desired
results.
Here my dummy version:
from
matplotlib.lines import Line2D
from matplotlib.pyplot import figure, show
import numpy as np
def subplot_foo(n):
""" returns a the combination of 2 Line2D instances """
x = np.arange(0, 200, 0.1)
y = np.random.randn(len(x))
print len(x)
#y2 = y+n
line1 = Line2D\(x, y, color = 'k'\)
\#line2 = Line2D\(x,y2, 'r'\)
\#return line1\+line2
return line1
fig = figure() # create Figure object
for i in range(1,5):
ax = fig.add_subplot(2,2,i)
ax\.add\_line\(subplot\_foo\(i\)\)
show()
First, the Line2D object does not represent
the plot I want to create.
Second, I cannot collect various Line2D objects into a Subplot.
Any good idea around?