Why axis ax.spines is not showing axis?










0















In the following code I want to plot 4 quadrants. I want to make origin at 0. Since all these values are positive they should only appear in first quadrant. But I'm not getting the required result. I want to plot 500 values which also have some negative values. I only showed a part of data. How can I get theses values confined only to first quadrant.



`#data
[[0.20077017, 0.26503062]
[0.23604931, 0.23830369]
[0.3413382 , 0.1511064 ]
[0.49108654 ,0.03759334]
[0.4908852, 0.03612228]
[0.48980197 ,0.03400265]
[0.49243385, 0.03560147]
[0.492753 , 0.03494545]
[0.49211517, 0.03319726]
[0.4918935 , 0.03200188]
[0.4953385 , 0.03440943]
[0.49811 , 0.03617451]])

c1 = data[:,0]
c2 = data[:,1]


ax.scatter(c1,c2)

ax.spines['left'].set_position('zero')
ax.spines['right'].set_position('none')
ax.spines['top'].set_position('none')
ax.spines['bottom'].set_position('zero')`









share|improve this question
























  • Does manually set xlim and ylim help ?

    – Patol75
    Nov 15 '18 at 5:48











  • Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

    – R.joe
    Nov 15 '18 at 6:14















0















In the following code I want to plot 4 quadrants. I want to make origin at 0. Since all these values are positive they should only appear in first quadrant. But I'm not getting the required result. I want to plot 500 values which also have some negative values. I only showed a part of data. How can I get theses values confined only to first quadrant.



`#data
[[0.20077017, 0.26503062]
[0.23604931, 0.23830369]
[0.3413382 , 0.1511064 ]
[0.49108654 ,0.03759334]
[0.4908852, 0.03612228]
[0.48980197 ,0.03400265]
[0.49243385, 0.03560147]
[0.492753 , 0.03494545]
[0.49211517, 0.03319726]
[0.4918935 , 0.03200188]
[0.4953385 , 0.03440943]
[0.49811 , 0.03617451]])

c1 = data[:,0]
c2 = data[:,1]


ax.scatter(c1,c2)

ax.spines['left'].set_position('zero')
ax.spines['right'].set_position('none')
ax.spines['top'].set_position('none')
ax.spines['bottom'].set_position('zero')`









share|improve this question
























  • Does manually set xlim and ylim help ?

    – Patol75
    Nov 15 '18 at 5:48











  • Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

    – R.joe
    Nov 15 '18 at 6:14













0












0








0








In the following code I want to plot 4 quadrants. I want to make origin at 0. Since all these values are positive they should only appear in first quadrant. But I'm not getting the required result. I want to plot 500 values which also have some negative values. I only showed a part of data. How can I get theses values confined only to first quadrant.



`#data
[[0.20077017, 0.26503062]
[0.23604931, 0.23830369]
[0.3413382 , 0.1511064 ]
[0.49108654 ,0.03759334]
[0.4908852, 0.03612228]
[0.48980197 ,0.03400265]
[0.49243385, 0.03560147]
[0.492753 , 0.03494545]
[0.49211517, 0.03319726]
[0.4918935 , 0.03200188]
[0.4953385 , 0.03440943]
[0.49811 , 0.03617451]])

c1 = data[:,0]
c2 = data[:,1]


ax.scatter(c1,c2)

ax.spines['left'].set_position('zero')
ax.spines['right'].set_position('none')
ax.spines['top'].set_position('none')
ax.spines['bottom'].set_position('zero')`









share|improve this question
















In the following code I want to plot 4 quadrants. I want to make origin at 0. Since all these values are positive they should only appear in first quadrant. But I'm not getting the required result. I want to plot 500 values which also have some negative values. I only showed a part of data. How can I get theses values confined only to first quadrant.



`#data
[[0.20077017, 0.26503062]
[0.23604931, 0.23830369]
[0.3413382 , 0.1511064 ]
[0.49108654 ,0.03759334]
[0.4908852, 0.03612228]
[0.48980197 ,0.03400265]
[0.49243385, 0.03560147]
[0.492753 , 0.03494545]
[0.49211517, 0.03319726]
[0.4918935 , 0.03200188]
[0.4953385 , 0.03440943]
[0.49811 , 0.03617451]])

c1 = data[:,0]
c2 = data[:,1]


ax.scatter(c1,c2)

ax.spines['left'].set_position('zero')
ax.spines['right'].set_position('none')
ax.spines['top'].set_position('none')
ax.spines['bottom'].set_position('zero')`






python matplotlib






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share|improve this question













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edited Nov 15 '18 at 6:19









Joe

6,07421430




6,07421430










asked Nov 15 '18 at 5:06









R.joeR.joe

46




46












  • Does manually set xlim and ylim help ?

    – Patol75
    Nov 15 '18 at 5:48











  • Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

    – R.joe
    Nov 15 '18 at 6:14

















  • Does manually set xlim and ylim help ?

    – Patol75
    Nov 15 '18 at 5:48











  • Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

    – R.joe
    Nov 15 '18 at 6:14
















Does manually set xlim and ylim help ?

– Patol75
Nov 15 '18 at 5:48





Does manually set xlim and ylim help ?

– Patol75
Nov 15 '18 at 5:48













Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

– R.joe
Nov 15 '18 at 6:14





Yes after setting xlim and ylim from -0.5 to 0.5 it shows 4 quadrants. But the values in my data are too smaller than 0.5. How should I select the appropriate range of limits

– R.joe
Nov 15 '18 at 6:14












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