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Visibility for twinx grid lines


How can I do a line break (line continuation) in Python?How to get line count cheaply in Python?How to read a file line-by-line into a list?Secondary axis with twinx(): how to add to legend?Correct way to write line to file?Catch multiple exceptions in one line (except block)Why is reading lines from stdin much slower in C++ than Python?Pythonic way to create a long multi-line stringHow to plot date range with vlines in matplotlib?vertical colored lines on a slider matplotlib






.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;








2















When creating overlaid bar charts with two different height scales using Axes.twinx(), I cannot set visible the vertical grid lines of the 'twin' axis set. The horizontal lines work fine though. Any thoughts on how to resolve this?



Below is some example code that illustrates what I want to do and what I cannot do. As seen, the vertical grid lines are hidden by the red bars of ax2, whereas I want the grid lines to be visible through all bars.



# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax1.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax2.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [100, 10]):
ax.set_ylim(0, ylim)
ax.grid(True)




The error comes about because the vertical grid lines of ax2 are not set visible. This can be tested by setting ax1.grid(False), in which case there are only horizontal grid lines.





I have tried all combinations of ax1.xaxis.grid(True), ax1.yaxis.grid(True), ax2.xaxis.grid(True) and ax2.yaxis.grid(True) without any luck. Any help on this matter deeply appreciated!










share|improve this question


























  • Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

    – Robert
    Mar 27 at 9:08






  • 1





    Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

    – ImportanceOfBeingErnest
    Mar 27 at 11:43











  • Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

    – Robert
    Mar 27 at 14:25






  • 1





    Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

    – ImportanceOfBeingErnest
    Mar 27 at 14:57

















2















When creating overlaid bar charts with two different height scales using Axes.twinx(), I cannot set visible the vertical grid lines of the 'twin' axis set. The horizontal lines work fine though. Any thoughts on how to resolve this?



Below is some example code that illustrates what I want to do and what I cannot do. As seen, the vertical grid lines are hidden by the red bars of ax2, whereas I want the grid lines to be visible through all bars.



# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax1.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax2.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [100, 10]):
ax.set_ylim(0, ylim)
ax.grid(True)




The error comes about because the vertical grid lines of ax2 are not set visible. This can be tested by setting ax1.grid(False), in which case there are only horizontal grid lines.





I have tried all combinations of ax1.xaxis.grid(True), ax1.yaxis.grid(True), ax2.xaxis.grid(True) and ax2.yaxis.grid(True) without any luck. Any help on this matter deeply appreciated!










share|improve this question


























  • Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

    – Robert
    Mar 27 at 9:08






  • 1





    Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

    – ImportanceOfBeingErnest
    Mar 27 at 11:43











  • Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

    – Robert
    Mar 27 at 14:25






  • 1





    Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

    – ImportanceOfBeingErnest
    Mar 27 at 14:57













2












2








2








When creating overlaid bar charts with two different height scales using Axes.twinx(), I cannot set visible the vertical grid lines of the 'twin' axis set. The horizontal lines work fine though. Any thoughts on how to resolve this?



Below is some example code that illustrates what I want to do and what I cannot do. As seen, the vertical grid lines are hidden by the red bars of ax2, whereas I want the grid lines to be visible through all bars.



# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax1.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax2.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [100, 10]):
ax.set_ylim(0, ylim)
ax.grid(True)




The error comes about because the vertical grid lines of ax2 are not set visible. This can be tested by setting ax1.grid(False), in which case there are only horizontal grid lines.





I have tried all combinations of ax1.xaxis.grid(True), ax1.yaxis.grid(True), ax2.xaxis.grid(True) and ax2.yaxis.grid(True) without any luck. Any help on this matter deeply appreciated!










share|improve this question
















When creating overlaid bar charts with two different height scales using Axes.twinx(), I cannot set visible the vertical grid lines of the 'twin' axis set. The horizontal lines work fine though. Any thoughts on how to resolve this?



Below is some example code that illustrates what I want to do and what I cannot do. As seen, the vertical grid lines are hidden by the red bars of ax2, whereas I want the grid lines to be visible through all bars.



# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax1.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax2.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [100, 10]):
ax.set_ylim(0, ylim)
ax.grid(True)




The error comes about because the vertical grid lines of ax2 are not set visible. This can be tested by setting ax1.grid(False), in which case there are only horizontal grid lines.





I have tried all combinations of ax1.xaxis.grid(True), ax1.yaxis.grid(True), ax2.xaxis.grid(True) and ax2.yaxis.grid(True) without any luck. Any help on this matter deeply appreciated!







python matplotlib






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Mar 27 at 9:03







Robert

















asked Mar 27 at 8:52









RobertRobert

477 bronze badges




477 bronze badges















  • Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

    – Robert
    Mar 27 at 9:08






  • 1





    Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

    – ImportanceOfBeingErnest
    Mar 27 at 11:43











  • Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

    – Robert
    Mar 27 at 14:25






  • 1





    Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

    – ImportanceOfBeingErnest
    Mar 27 at 14:57

















  • Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

    – Robert
    Mar 27 at 9:08






  • 1





    Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

    – ImportanceOfBeingErnest
    Mar 27 at 11:43











  • Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

    – Robert
    Mar 27 at 14:25






  • 1





    Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

    – ImportanceOfBeingErnest
    Mar 27 at 14:57
















Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

– Robert
Mar 27 at 9:08





Ok, obviously one workaround is to scale the h2-data with the y-axii ratio (10 in this case) and then plot h2 in ax1 like this: h2_bars = ax1.bar(x, [10*h for h in h2], width=0.6, color='darkred').

– Robert
Mar 27 at 9:08




1




1





Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

– ImportanceOfBeingErnest
Mar 27 at 11:43





Usually the grid lines are below patches. But you can set ax.set_axisbelow(False) to have them appear in front.

– ImportanceOfBeingErnest
Mar 27 at 11:43













Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

– Robert
Mar 27 at 14:25





Thanks @ImportanceOfBeingErnest. I actually already tried that. It does not work because there are no vertical grid lines in ax2 to begin with, so they cannot be brought to the front.

– Robert
Mar 27 at 14:25




1




1





Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

– ImportanceOfBeingErnest
Mar 27 at 14:57





Oh, sorry, I think I misunderstood the problem. Indeed, ax2 does not have any grid lines.

– ImportanceOfBeingErnest
Mar 27 at 14:57












1 Answer
1






active

oldest

votes


















2














You may revert the role of ax1 and ax2, such that the blue bars are on ax2 and the red ones on ax1. Then you need to put the twin axes in the background and tick the respective y axes on the other side of the plot.



import matplotlib.pyplot as plt

# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax2.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax1.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [10, 100]):
ax.set_ylim(0, ylim)
ax.grid(True)


ax1.set_zorder(1)
ax1.patch.set_alpha(0)
ax2.set_zorder(0)

ax1.yaxis.tick_right()
ax2.yaxis.tick_left()

plt.show()


enter image description here






share|improve this answer

























  • This is God! I tried so many ways but missed the set_alpha. +1 again

    – Sheldore
    Mar 27 at 16:05











  • @ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

    – Robert
    Mar 28 at 21:30






  • 1





    The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

    – ImportanceOfBeingErnest
    Mar 28 at 21:54











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1 Answer
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1 Answer
1






active

oldest

votes









active

oldest

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active

oldest

votes









2














You may revert the role of ax1 and ax2, such that the blue bars are on ax2 and the red ones on ax1. Then you need to put the twin axes in the background and tick the respective y axes on the other side of the plot.



import matplotlib.pyplot as plt

# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax2.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax1.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [10, 100]):
ax.set_ylim(0, ylim)
ax.grid(True)


ax1.set_zorder(1)
ax1.patch.set_alpha(0)
ax2.set_zorder(0)

ax1.yaxis.tick_right()
ax2.yaxis.tick_left()

plt.show()


enter image description here






share|improve this answer

























  • This is God! I tried so many ways but missed the set_alpha. +1 again

    – Sheldore
    Mar 27 at 16:05











  • @ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

    – Robert
    Mar 28 at 21:30






  • 1





    The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

    – ImportanceOfBeingErnest
    Mar 28 at 21:54
















2














You may revert the role of ax1 and ax2, such that the blue bars are on ax2 and the red ones on ax1. Then you need to put the twin axes in the background and tick the respective y axes on the other side of the plot.



import matplotlib.pyplot as plt

# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax2.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax1.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [10, 100]):
ax.set_ylim(0, ylim)
ax.grid(True)


ax1.set_zorder(1)
ax1.patch.set_alpha(0)
ax2.set_zorder(0)

ax1.yaxis.tick_right()
ax2.yaxis.tick_left()

plt.show()


enter image description here






share|improve this answer

























  • This is God! I tried so many ways but missed the set_alpha. +1 again

    – Sheldore
    Mar 27 at 16:05











  • @ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

    – Robert
    Mar 28 at 21:30






  • 1





    The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

    – ImportanceOfBeingErnest
    Mar 28 at 21:54














2












2








2







You may revert the role of ax1 and ax2, such that the blue bars are on ax2 and the red ones on ax1. Then you need to put the twin axes in the background and tick the respective y axes on the other side of the plot.



import matplotlib.pyplot as plt

# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax2.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax1.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [10, 100]):
ax.set_ylim(0, ylim)
ax.grid(True)


ax1.set_zorder(1)
ax1.patch.set_alpha(0)
ax2.set_zorder(0)

ax1.yaxis.tick_right()
ax2.yaxis.tick_left()

plt.show()


enter image description here






share|improve this answer













You may revert the role of ax1 and ax2, such that the blue bars are on ax2 and the red ones on ax1. Then you need to put the twin axes in the background and tick the respective y axes on the other side of the plot.



import matplotlib.pyplot as plt

# Create figure and figure layout
ax1 = plt.subplot()
ax2 = ax1.twinx()

# Example data
x = [0, 1, 2, 3, 4, 5]
h1 = [55, 63, 70, 84, 73, 93]
h2 = [4, 5, 4, 7, 4, 3]

# Plot bars
h1_bars = ax2.bar(x, h1, width=0.6, color='darkblue')
h2_bars = ax1.bar(x, h2, width=0.6, color='darkred')

# Set y limits and grid visibility
for ax, ylim in zip([ax1, ax2], [10, 100]):
ax.set_ylim(0, ylim)
ax.grid(True)


ax1.set_zorder(1)
ax1.patch.set_alpha(0)
ax2.set_zorder(0)

ax1.yaxis.tick_right()
ax2.yaxis.tick_left()

plt.show()


enter image description here







share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 27 at 14:59









ImportanceOfBeingErnestImportanceOfBeingErnest

161k15 gold badges200 silver badges291 bronze badges




161k15 gold badges200 silver badges291 bronze badges















  • This is God! I tried so many ways but missed the set_alpha. +1 again

    – Sheldore
    Mar 27 at 16:05











  • @ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

    – Robert
    Mar 28 at 21:30






  • 1





    The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

    – ImportanceOfBeingErnest
    Mar 28 at 21:54


















  • This is God! I tried so many ways but missed the set_alpha. +1 again

    – Sheldore
    Mar 27 at 16:05











  • @ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

    – Robert
    Mar 28 at 21:30






  • 1





    The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

    – ImportanceOfBeingErnest
    Mar 28 at 21:54

















This is God! I tried so many ways but missed the set_alpha. +1 again

– Sheldore
Mar 27 at 16:05





This is God! I tried so many ways but missed the set_alpha. +1 again

– Sheldore
Mar 27 at 16:05













@ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

– Robert
Mar 28 at 21:30





@ImportanceOfBeingErnest Thanks for this workaround. It’s great, and I was also delighted to learn about set_alpha. It doesn’t answer my original question on how to make visible the grid lines of ax2, but I’ll accept it anyhow since it gets the job done.

– Robert
Mar 28 at 21:30




1




1





The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

– ImportanceOfBeingErnest
Mar 28 at 21:54






The point is, ax2 does not have any vertical gridlines, because it is a twin axes. Meaning, it shares the grid and ticks with ax1 for the direction of the twinning.

– ImportanceOfBeingErnest
Mar 28 at 21:54







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