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()
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
>
> 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
>
>
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
>
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 Sun, Aug 29, 2010 at 6:29 AM, xyz <mi...@op...> 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. > > 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 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?
On Mon, Aug 30, 2010 at 4:44 AM, xyz <mi...@op...> 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?
Like Eric said, the call to ax.autoscale_view() overrides the limits
you set by hand. Remove this line.
Ryan
--
Ryan May
Graduate Research Assistant
School of Meteorology
University of Oklahoma