MatLibPlot: place tick labels of y-axis higher





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I would like to place the label of the ticks of the vertical axis over the tick. Basically the problem is to move the label along the axis. I've seen solutions to move the labels away from the axis, rotating the label, but my requirement seems to be less usual.



import matplotlib.pyplot as plt

ax = plt.gca()
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')

line = plt.Line2D([0,1],[0,1], color='black', zorder=2)
plt.gca().add_line(line)

plt.show()









share|improve this question























  • What does "over the tick" mean?

    – ImportanceOfBeingErnest
    Nov 24 '18 at 20:59











  • @ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

    – PeptideChain
    Nov 24 '18 at 21:02




















0















I would like to place the label of the ticks of the vertical axis over the tick. Basically the problem is to move the label along the axis. I've seen solutions to move the labels away from the axis, rotating the label, but my requirement seems to be less usual.



import matplotlib.pyplot as plt

ax = plt.gca()
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')

line = plt.Line2D([0,1],[0,1], color='black', zorder=2)
plt.gca().add_line(line)

plt.show()









share|improve this question























  • What does "over the tick" mean?

    – ImportanceOfBeingErnest
    Nov 24 '18 at 20:59











  • @ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

    – PeptideChain
    Nov 24 '18 at 21:02
















0












0








0








I would like to place the label of the ticks of the vertical axis over the tick. Basically the problem is to move the label along the axis. I've seen solutions to move the labels away from the axis, rotating the label, but my requirement seems to be less usual.



import matplotlib.pyplot as plt

ax = plt.gca()
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')

line = plt.Line2D([0,1],[0,1], color='black', zorder=2)
plt.gca().add_line(line)

plt.show()









share|improve this question














I would like to place the label of the ticks of the vertical axis over the tick. Basically the problem is to move the label along the axis. I've seen solutions to move the labels away from the axis, rotating the label, but my requirement seems to be less usual.



import matplotlib.pyplot as plt

ax = plt.gca()
ax.spines['left'].set_position('center')
ax.spines['bottom'].set_position('center')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')

line = plt.Line2D([0,1],[0,1], color='black', zorder=2)
plt.gca().add_line(line)

plt.show()






matplotlib






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 24 '18 at 20:11









PeptideChainPeptideChain

24319




24319













  • What does "over the tick" mean?

    – ImportanceOfBeingErnest
    Nov 24 '18 at 20:59











  • @ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

    – PeptideChain
    Nov 24 '18 at 21:02





















  • What does "over the tick" mean?

    – ImportanceOfBeingErnest
    Nov 24 '18 at 20:59











  • @ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

    – PeptideChain
    Nov 24 '18 at 21:02



















What does "over the tick" mean?

– ImportanceOfBeingErnest
Nov 24 '18 at 20:59





What does "over the tick" mean?

– ImportanceOfBeingErnest
Nov 24 '18 at 20:59













@ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

– PeptideChain
Nov 24 '18 at 21:02







@ImportanceOfBeingErnest Standard, the label (of the tick of the vertical axis) is placed vertically centred. I would like to have it over the horizontal line of the tick(of the vertical axis).

– PeptideChain
Nov 24 '18 at 21:02














1 Answer
1






active

oldest

votes


















2














You may bottom-align the labels to have them appear shifted to the top compared to the ticks.



import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.tick_params(axis="y", length=20, pad=0)
plt.setp(ax.get_yticklabels(), va="bottom", ha="left")

plt.show()


enter image description here





The equivalent of plt.setp when not wanting to import pyplot would be



for t in ax.get_yticklabels():
t.set(va="bottom", ha="left")





share|improve this answer


























  • this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

    – PeptideChain
    Nov 24 '18 at 21:18






  • 1





    It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 21:22













  • very nice, then I can move only the single label that made problems

    – PeptideChain
    Nov 24 '18 at 21:26











  • Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 22:38












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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









2














You may bottom-align the labels to have them appear shifted to the top compared to the ticks.



import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.tick_params(axis="y", length=20, pad=0)
plt.setp(ax.get_yticklabels(), va="bottom", ha="left")

plt.show()


enter image description here





The equivalent of plt.setp when not wanting to import pyplot would be



for t in ax.get_yticklabels():
t.set(va="bottom", ha="left")





share|improve this answer


























  • this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

    – PeptideChain
    Nov 24 '18 at 21:18






  • 1





    It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 21:22













  • very nice, then I can move only the single label that made problems

    – PeptideChain
    Nov 24 '18 at 21:26











  • Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 22:38
















2














You may bottom-align the labels to have them appear shifted to the top compared to the ticks.



import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.tick_params(axis="y", length=20, pad=0)
plt.setp(ax.get_yticklabels(), va="bottom", ha="left")

plt.show()


enter image description here





The equivalent of plt.setp when not wanting to import pyplot would be



for t in ax.get_yticklabels():
t.set(va="bottom", ha="left")





share|improve this answer


























  • this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

    – PeptideChain
    Nov 24 '18 at 21:18






  • 1





    It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 21:22













  • very nice, then I can move only the single label that made problems

    – PeptideChain
    Nov 24 '18 at 21:26











  • Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 22:38














2












2








2







You may bottom-align the labels to have them appear shifted to the top compared to the ticks.



import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.tick_params(axis="y", length=20, pad=0)
plt.setp(ax.get_yticklabels(), va="bottom", ha="left")

plt.show()


enter image description here





The equivalent of plt.setp when not wanting to import pyplot would be



for t in ax.get_yticklabels():
t.set(va="bottom", ha="left")





share|improve this answer















You may bottom-align the labels to have them appear shifted to the top compared to the ticks.



import matplotlib.pyplot as plt

fig, ax = plt.subplots()

ax.tick_params(axis="y", length=20, pad=0)
plt.setp(ax.get_yticklabels(), va="bottom", ha="left")

plt.show()


enter image description here





The equivalent of plt.setp when not wanting to import pyplot would be



for t in ax.get_yticklabels():
t.set(va="bottom", ha="left")






share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 24 '18 at 21:21

























answered Nov 24 '18 at 21:14









ImportanceOfBeingErnestImportanceOfBeingErnest

143k13173252




143k13173252













  • this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

    – PeptideChain
    Nov 24 '18 at 21:18






  • 1





    It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 21:22













  • very nice, then I can move only the single label that made problems

    – PeptideChain
    Nov 24 '18 at 21:26











  • Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 22:38



















  • this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

    – PeptideChain
    Nov 24 '18 at 21:18






  • 1





    It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 21:22













  • very nice, then I can move only the single label that made problems

    – PeptideChain
    Nov 24 '18 at 21:26











  • Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

    – ImportanceOfBeingErnest
    Nov 24 '18 at 22:38

















this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

– PeptideChain
Nov 24 '18 at 21:18





this is what I was looking for! How do I reach the setp if I work with the figure and fig.gca()? to call plt..... seems to be a global call (strange to me as a newbie)

– PeptideChain
Nov 24 '18 at 21:18




1




1





It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

– ImportanceOfBeingErnest
Nov 24 '18 at 21:22







It's kind of a helper function. I updated the answer with an alternative, but if you use pyplot anyways, you may also use its setp function.

– ImportanceOfBeingErnest
Nov 24 '18 at 21:22















very nice, then I can move only the single label that made problems

– PeptideChain
Nov 24 '18 at 21:26





very nice, then I can move only the single label that made problems

– PeptideChain
Nov 24 '18 at 21:26













Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

– ImportanceOfBeingErnest
Nov 24 '18 at 22:38





Well yes, but mind that once you do that you should not change the limits of the axes afterwards.

– ImportanceOfBeingErnest
Nov 24 '18 at 22:38




















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