problems with autoscale_view

xyz · August 29, 2010, 4:40am

Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0) and ax.set_ylim(0)

What did I wrong?

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
plt.text (x[i], y1[i]+0.2, label,
horizontalalignment='center' )

for i, label in enumerate(y2):
plt.text (x[i], y2[i]+0.2, label,
horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

Eric_Firing1 · August 29, 2010, 7:28am

Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
and ax.set_ylim(0)

What did I wrong?

The call to autoscale_view overrides the earlier calls to set_xlim and set_ylim. There is no built-in mechanism for autoscaling only the upper limit, and holding the lower limit fixed. You could make such a mechanism by writing a custom Locator, but it may make more sense to calculate the upper limit directly in your code based on your data, and then use set_xlim and set_ylim to set both ends of each axis.

Eric

···

On 08/28/2010 06:40 PM, xyz wrote:

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32,
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10,
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
             'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
    plt.text (x[i], y1[i]+0.2, label,
              horizontalalignment='center' )

for i, label in enumerate(y2):
    plt.text (x[i], y2[i]+0.2, label,
              horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

xyz · August 29, 2010, 11:21am

Thank you for your answer. However, I do not how to calculate the upper limit directly from my code based on my data, and then use set_xlim and set_ylim to set both ends of each axis. Could you show me please how to do it?

Thank you in advance.

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
plt.text (x[i], y1[i]+0.2, label,
horizontalalignment='center' )

for i, label in enumerate(y2):
plt.text (x[i], y2[i]+0.2, label,
horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

···

On 29/08/10 17:28, Eric Firing wrote:

On 08/28/2010 06:40 PM, xyz wrote:

Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
and ax.set_ylim(0)

What did I wrong?

The call to autoscale_view overrides the earlier calls to set_xlim and
set_ylim. There is no built-in mechanism for autoscaling only the upper
limit, and holding the lower limit fixed. You could make such a
mechanism by writing a custom Locator, but it may make more sense to
calculate the upper limit directly in your code based on your data, and
then use set_xlim and set_ylim to set both ends of each axis.

Eric

xyz · August 29, 2010, 11:29am

Thank you for your answer. However, I do not how to calculate the upper limit directly from my code based on my data, and then use set_xlim and set_ylim to set both ends of each axis. Could you show me please how to do it?

Thank you in advance.

from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
ax.set_xlim(0.0)
ax.set_ylim(0.0)

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
plt.text (x[i], y1[i]+0.2, label,
horizontalalignment='center' )

for i, label in enumerate(y2):
plt.text (x[i], y2[i]+0.2, label,
horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

···

On 29/08/10 17:28, Eric Firing wrote:

On 08/28/2010 06:40 PM, xyz wrote:

Hello,
If I use autoscale_view than:
* plt.text appears outside x and y coordinates
* and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)
and ax.set_ylim(0)

What did I wrong?

The call to autoscale_view overrides the earlier calls to set_xlim and
set_ylim. There is no built-in mechanism for autoscaling only the upper
limit, and holding the lower limit fixed. You could make such a
mechanism by writing a custom Locator, but it may make more sense to
calculate the upper limit directly in your code based on your data, and
then use set_xlim and set_ylim to set both ends of each axis.

Eric

Benjamin_Root · August 29, 2010, 5:51pm

You could try:

maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

I hope that helps,
Ben Root

···

On Sun, Aug 29, 2010 at 6:29 AM, xyz <mitlox@…269…> wrote:

On 29/08/10 17:28, Eric Firing wrote:

On 08/28/2010 06:40 PM, xyz wrote:

Hello,

If I use autoscale_view than:

plt.text appears outside x and y coordinates

and the coordinates starts do not from 0 whereas I use ax.set_xlim(0)

and ax.set_ylim(0)

What did I wrong?

The call to autoscale_view overrides the earlier calls to set_xlim and

set_ylim. There is no built-in mechanism for autoscaling only the upper

limit, and holding the lower limit fixed. You could make such a

mechanism by writing a custom Locator, but it may make more sense to

calculate the upper limit directly in your code based on your data, and

then use set_xlim and set_ylim to set both ends of each axis.

Eric

Thank you for your answer. However, I do not how to calculate the upper

limit directly from my code based on my data, and then use set_xlim and

set_ylim to set both ends of each axis. Could you show me please how to

do it?

Thank you in advance.

xyz · August 30, 2010, 9:44am

Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y coordinates
* and the coordinates starts not from 0

with the updated code:
from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32, 28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10, 12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
plt.text (x[i], y1[i]+0.2, label,
horizontalalignment='center' )

for i, label in enumerate(y2):
plt.text (x[i], y2[i]+0.2, label,
horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

What did I wrong?

···

On 30/08/10 03:51, Benjamin Root wrote:

maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

_Ryan_May1 · August 30, 2010, 1:34pm

Like Eric said, the call to ax.autoscale_view() overrides the limits
you set by hand. Remove this line.

Ryan

···

On Mon, Aug 30, 2010 at 4:44 AM, xyz <mitlox@...269...> wrote:

On 30/08/10 03:51, Benjamin Root wrote:

maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

Thank you, but unfortunately I have still the same problems:
* plt.text appears outside x and y coordinates
* and the coordinates starts not from 0

with the updated code:
from pylab import *
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,
20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
y1 = [20, 24, 8, 4, 12, 22, 31, 25, 15, 28, 12, 27, 22, 22, 27, 14, 32,
28, 8, 17, 2, 8, 29, 13, 14, 20, 11, 28, 8]
y2= [2, 32, 28, 1, 22, 11, 14, 27, 3, 31, 12, 20, 32, 24, 24, 16, 7, 10,
12, 11, 3, 32, 10, 20, 14, 14, 3, 25, 14]
point_labels1 = ['A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1', 'A=1',
'A=1']
point_labels2 = ['B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1', 'B=1',
'B=1']

fig = plt.figure()
ax = fig.add_subplot(111)

ax.set_title('The red point should be on the path')

plt.plot(x, y1, 'bo', x, y2, 'go')
ax.grid(True)
maxy = max(max(y1), max(y2))
maxx = max(x)

ax.set_xlim((0.0, maxx))
ax.set_ylim((0.0, maxy))

fig.autofmt_xdate()

plt.xticks(range(0, 40, 1))

plt.yticks(range(0, 40, 1))
plt.xlabel('Longitude')
plt.ylabel('Latitude')
plt.legend(('Model length', 'Data length'),
'best', shadow=True, fancybox=True)

for i, label in enumerate(y1):
plt.text (x[i], y1[i]+0.2, label,
horizontalalignment='center' )

for i, label in enumerate(y2):
plt.text (x[i], y2[i]+0.2, label,
horizontalalignment='center' )

ax.autoscale_view()
plt.savefig('test.png')
plt.show()

What did I wrong?

--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma