Matplotlib leged disappears using bbox_to_anchor
0
I'm trying to put my matplotlib legend in a custom location using the bbox_to_anchor command. I want the upper left hand corner to be at the coordinates x=40 and y=130 so my python code looks as follows:
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
When I actually go to plot though the legend is simply gone. If I remove the bbox_to_anchor option then the legend is on the graph. The rest of my code is as follows:
import matplotlib.pyplot as plt
from matplotlib import rc
#eu-152 data
eu152_10_1 = ([(10,1)])
#eu152_10_3 = ([(10,3)])
#eu152_10_30 = ([(10,30)])
eu152_10_60 = ([(10,60)])
eu152_10_120 = ([(10,120)])
#eu152_30_1 = ([(30,1)])
eu152_30_3 = ([(30,3)])
eu152_30_30 = ([(30,30)])
eu152_30_60 = ([(30,60)])
eu152_30_120 = ([(30,120)])
eu152_90_1 = ([(90,1)])
eu152_90_3 = ([(90,3)])
eu152_90_30 = ([(90,30)])
eu152_90_60 = ([(90,60)])
eu152_90_120 = ([(90,120)])
plt.rcParams['legend.loc'] = 'best'
plt.figure(1)
#plt.autoscale(enable=True, axis='y', tight=None)
#plt.autoscale(enable=True, axis='x', tight=None)
#extra = Rectangle((0, 0), 1, 1, fc="w", fill=False, edgecolor='none', linewidth=0)
a = plt.scatter(*zip(*eu152_10_1) , color='k', marker='o' , s=300)
#b = plt.scatter(*zip(*eu152_10_3) , color='r', marker='D' , s=300)
#c = plt.scatter(*zip(*eu152_10_30) , color='r', marker='D' , s=300)
d = plt.scatter(*zip(*eu152_10_60) , color='m', marker='o' , s=300)
e = plt.scatter(*zip(*eu152_10_120) , color='r', marker='o' , s=300)
#f = plt.scatter(*zip(*eu152_30_1) , color='r', marker='D' , s=300)
g = plt.scatter(*zip(*eu152_30_3) , color='b', marker='o', s=300)
h = plt.scatter(*zip(*eu152_30_30) , color='g', marker='o', s=300)
i = plt.scatter(*zip(*eu152_30_60) , color='k', marker='o', s=300)
j = plt.scatter(*zip(*eu152_30_120) , color='m', marker='o', s=300)
k = plt.scatter(*zip(*eu152_90_1) , color='c', marker='o', s=300)
l = plt.scatter(*zip(*eu152_90_3) , color='m', marker='o', s=300)
m = plt.scatter(*zip(*eu152_90_30) , color='c', marker='o', s=300)
n = plt.scatter(*zip(*eu152_90_60) , color='b', marker='o', s=300)
o = plt.scatter(*zip(*eu152_90_120) , color='r', marker='o', s=300)
rc('text', usetex=True)
plt.ylim(0, 150)
plt.xlim(0, 100)
plt.xlabel('Power Level (kW)', fontsize=26 , labelpad = 20)
plt.ylabel('Irradiation Time (min.)' , fontsize=26)
plt.tick_params(axis='x' , labelsize=20)
plt.tick_params(axis='y' , labelsize=20)
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
plt.xticks([0 , 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 90 , 100])
plt.yticks([ 1 , 30 , 60 , 90 , 120 ])
plt.grid(True)
print('plots created')
plt.show()
python matplotlib legend
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
add a comment |
0
I'm trying to put my matplotlib legend in a custom location using the bbox_to_anchor command. I want the upper left hand corner to be at the coordinates x=40 and y=130 so my python code looks as follows:
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
When I actually go to plot though the legend is simply gone. If I remove the bbox_to_anchor option then the legend is on the graph. The rest of my code is as follows:
import matplotlib.pyplot as plt
from matplotlib import rc
#eu-152 data
eu152_10_1 = ([(10,1)])
#eu152_10_3 = ([(10,3)])
#eu152_10_30 = ([(10,30)])
eu152_10_60 = ([(10,60)])
eu152_10_120 = ([(10,120)])
#eu152_30_1 = ([(30,1)])
eu152_30_3 = ([(30,3)])
eu152_30_30 = ([(30,30)])
eu152_30_60 = ([(30,60)])
eu152_30_120 = ([(30,120)])
eu152_90_1 = ([(90,1)])
eu152_90_3 = ([(90,3)])
eu152_90_30 = ([(90,30)])
eu152_90_60 = ([(90,60)])
eu152_90_120 = ([(90,120)])
plt.rcParams['legend.loc'] = 'best'
plt.figure(1)
#plt.autoscale(enable=True, axis='y', tight=None)
#plt.autoscale(enable=True, axis='x', tight=None)
#extra = Rectangle((0, 0), 1, 1, fc="w", fill=False, edgecolor='none', linewidth=0)
a = plt.scatter(*zip(*eu152_10_1) , color='k', marker='o' , s=300)
#b = plt.scatter(*zip(*eu152_10_3) , color='r', marker='D' , s=300)
#c = plt.scatter(*zip(*eu152_10_30) , color='r', marker='D' , s=300)
d = plt.scatter(*zip(*eu152_10_60) , color='m', marker='o' , s=300)
e = plt.scatter(*zip(*eu152_10_120) , color='r', marker='o' , s=300)
#f = plt.scatter(*zip(*eu152_30_1) , color='r', marker='D' , s=300)
g = plt.scatter(*zip(*eu152_30_3) , color='b', marker='o', s=300)
h = plt.scatter(*zip(*eu152_30_30) , color='g', marker='o', s=300)
i = plt.scatter(*zip(*eu152_30_60) , color='k', marker='o', s=300)
j = plt.scatter(*zip(*eu152_30_120) , color='m', marker='o', s=300)
k = plt.scatter(*zip(*eu152_90_1) , color='c', marker='o', s=300)
l = plt.scatter(*zip(*eu152_90_3) , color='m', marker='o', s=300)
m = plt.scatter(*zip(*eu152_90_30) , color='c', marker='o', s=300)
n = plt.scatter(*zip(*eu152_90_60) , color='b', marker='o', s=300)
o = plt.scatter(*zip(*eu152_90_120) , color='r', marker='o', s=300)
rc('text', usetex=True)
plt.ylim(0, 150)
plt.xlim(0, 100)
plt.xlabel('Power Level (kW)', fontsize=26 , labelpad = 20)
plt.ylabel('Irradiation Time (min.)' , fontsize=26)
plt.tick_params(axis='x' , labelsize=20)
plt.tick_params(axis='y' , labelsize=20)
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
plt.xticks([0 , 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 90 , 100])
plt.yticks([ 1 , 30 , 60 , 90 , 120 ])
plt.grid(True)
print('plots created')
plt.show()
python matplotlib legend
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
3
The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32
add a comment |
0
0
0
I'm trying to put my matplotlib legend in a custom location using the bbox_to_anchor command. I want the upper left hand corner to be at the coordinates x=40 and y=130 so my python code looks as follows:
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
When I actually go to plot though the legend is simply gone. If I remove the bbox_to_anchor option then the legend is on the graph. The rest of my code is as follows:
import matplotlib.pyplot as plt
from matplotlib import rc
#eu-152 data
eu152_10_1 = ([(10,1)])
#eu152_10_3 = ([(10,3)])
#eu152_10_30 = ([(10,30)])
eu152_10_60 = ([(10,60)])
eu152_10_120 = ([(10,120)])
#eu152_30_1 = ([(30,1)])
eu152_30_3 = ([(30,3)])
eu152_30_30 = ([(30,30)])
eu152_30_60 = ([(30,60)])
eu152_30_120 = ([(30,120)])
eu152_90_1 = ([(90,1)])
eu152_90_3 = ([(90,3)])
eu152_90_30 = ([(90,30)])
eu152_90_60 = ([(90,60)])
eu152_90_120 = ([(90,120)])
plt.rcParams['legend.loc'] = 'best'
plt.figure(1)
#plt.autoscale(enable=True, axis='y', tight=None)
#plt.autoscale(enable=True, axis='x', tight=None)
#extra = Rectangle((0, 0), 1, 1, fc="w", fill=False, edgecolor='none', linewidth=0)
a = plt.scatter(*zip(*eu152_10_1) , color='k', marker='o' , s=300)
#b = plt.scatter(*zip(*eu152_10_3) , color='r', marker='D' , s=300)
#c = plt.scatter(*zip(*eu152_10_30) , color='r', marker='D' , s=300)
d = plt.scatter(*zip(*eu152_10_60) , color='m', marker='o' , s=300)
e = plt.scatter(*zip(*eu152_10_120) , color='r', marker='o' , s=300)
#f = plt.scatter(*zip(*eu152_30_1) , color='r', marker='D' , s=300)
g = plt.scatter(*zip(*eu152_30_3) , color='b', marker='o', s=300)
h = plt.scatter(*zip(*eu152_30_30) , color='g', marker='o', s=300)
i = plt.scatter(*zip(*eu152_30_60) , color='k', marker='o', s=300)
j = plt.scatter(*zip(*eu152_30_120) , color='m', marker='o', s=300)
k = plt.scatter(*zip(*eu152_90_1) , color='c', marker='o', s=300)
l = plt.scatter(*zip(*eu152_90_3) , color='m', marker='o', s=300)
m = plt.scatter(*zip(*eu152_90_30) , color='c', marker='o', s=300)
n = plt.scatter(*zip(*eu152_90_60) , color='b', marker='o', s=300)
o = plt.scatter(*zip(*eu152_90_120) , color='r', marker='o', s=300)
rc('text', usetex=True)
plt.ylim(0, 150)
plt.xlim(0, 100)
plt.xlabel('Power Level (kW)', fontsize=26 , labelpad = 20)
plt.ylabel('Irradiation Time (min.)' , fontsize=26)
plt.tick_params(axis='x' , labelsize=20)
plt.tick_params(axis='y' , labelsize=20)
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
plt.xticks([0 , 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 90 , 100])
plt.yticks([ 1 , 30 , 60 , 90 , 120 ])
plt.grid(True)
print('plots created')
plt.show()
python matplotlib legend
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
I'm trying to put my matplotlib legend in a custom location using the bbox_to_anchor command. I want the upper left hand corner to be at the coordinates x=40 and y=130 so my python code looks as follows:
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
When I actually go to plot though the legend is simply gone. If I remove the bbox_to_anchor option then the legend is on the graph. The rest of my code is as follows:
import matplotlib.pyplot as plt
from matplotlib import rc
#eu-152 data
eu152_10_1 = ([(10,1)])
#eu152_10_3 = ([(10,3)])
#eu152_10_30 = ([(10,30)])
eu152_10_60 = ([(10,60)])
eu152_10_120 = ([(10,120)])
#eu152_30_1 = ([(30,1)])
eu152_30_3 = ([(30,3)])
eu152_30_30 = ([(30,30)])
eu152_30_60 = ([(30,60)])
eu152_30_120 = ([(30,120)])
eu152_90_1 = ([(90,1)])
eu152_90_3 = ([(90,3)])
eu152_90_30 = ([(90,30)])
eu152_90_60 = ([(90,60)])
eu152_90_120 = ([(90,120)])
plt.rcParams['legend.loc'] = 'best'
plt.figure(1)
#plt.autoscale(enable=True, axis='y', tight=None)
#plt.autoscale(enable=True, axis='x', tight=None)
#extra = Rectangle((0, 0), 1, 1, fc="w", fill=False, edgecolor='none', linewidth=0)
a = plt.scatter(*zip(*eu152_10_1) , color='k', marker='o' , s=300)
#b = plt.scatter(*zip(*eu152_10_3) , color='r', marker='D' , s=300)
#c = plt.scatter(*zip(*eu152_10_30) , color='r', marker='D' , s=300)
d = plt.scatter(*zip(*eu152_10_60) , color='m', marker='o' , s=300)
e = plt.scatter(*zip(*eu152_10_120) , color='r', marker='o' , s=300)
#f = plt.scatter(*zip(*eu152_30_1) , color='r', marker='D' , s=300)
g = plt.scatter(*zip(*eu152_30_3) , color='b', marker='o', s=300)
h = plt.scatter(*zip(*eu152_30_30) , color='g', marker='o', s=300)
i = plt.scatter(*zip(*eu152_30_60) , color='k', marker='o', s=300)
j = plt.scatter(*zip(*eu152_30_120) , color='m', marker='o', s=300)
k = plt.scatter(*zip(*eu152_90_1) , color='c', marker='o', s=300)
l = plt.scatter(*zip(*eu152_90_3) , color='m', marker='o', s=300)
m = plt.scatter(*zip(*eu152_90_30) , color='c', marker='o', s=300)
n = plt.scatter(*zip(*eu152_90_60) , color='b', marker='o', s=300)
o = plt.scatter(*zip(*eu152_90_120) , color='r', marker='o', s=300)
rc('text', usetex=True)
plt.ylim(0, 150)
plt.xlim(0, 100)
plt.xlabel('Power Level (kW)', fontsize=26 , labelpad = 20)
plt.ylabel('Irradiation Time (min.)' , fontsize=26)
plt.tick_params(axis='x' , labelsize=20)
plt.tick_params(axis='y' , labelsize=20)
plt.legend([o,h,n,k,l,a],
["data" , "data" , "data" , "data" , "data" , "data"] ,
scatterpoints = 1 , bbox_to_anchor=(40,130) , loc='upper left' )
plt.xticks([0 , 10 , 20 , 30 , 40 , 50 , 60 , 70 , 80 , 90 , 100])
plt.yticks([ 1 , 30 , 60 , 90 , 120 ])
plt.grid(True)
print('plots created')
plt.show()
python matplotlib legend
python matplotlib legend
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
edited Nov 13 '18 at 2:52
Cœur
17.6k9104145
17.6k9104145
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
asked Oct 21 '14 at 21:24
Bogdan JaniszewskiBogdan Janiszewski
6332615
6332615
3
The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32
add a comment |
3
The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32
3
3
The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32
add a comment |
0
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The coordinates are given in axes coordinates which range from 0 to 1 as mentioned in the documentation: matplotlib.org/1.3.0/api/… There it also says that "The legend location can be specified in other coordinate, by using the bbox_transform keyword."
– David Zwicker
Oct 21 '14 at 21:38
Please simplify this code to the minimun required to show the issue.
– tacaswell
Oct 22 '14 at 3:32