Re: [Matplotlib-users] 2 x-axes
Actually, though, I didn't want to plot 2 different sets of data as in that example, I want 1 set of data plotted with 2 different x-axis (different units). Any suggestion on modifying this example to accomplish this? import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid.parasite_axes import SubplotHost fig = plt.figure(figsize=(10,8)) host = SubplotHost(fig, 111) fig.add_subplot(host) parx = host.twiny() parx.axis[top].set_visible(False) offset = 0, -50 new_axisline = parx.get_grid_helper().new_fixed_axis parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset) parx.axis[bottom].label.set_visible(True) hplt, = host.plot(np.random.rand(100)) p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0, color='green') plt.show() -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
Neal Becker wrote: Actually, though, I didn't want to plot 2 different sets of data as in that example, I want 1 set of data plotted with 2 different x-axis (different units). Any suggestion on modifying this example to accomplish this? import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid.parasite_axes import SubplotHost fig = plt.figure(figsize=(10,8)) host = SubplotHost(fig, 111) fig.add_subplot(host) parx = host.twiny() parx.axis[top].set_visible(False) offset = 0, -50 new_axisline = parx.get_grid_helper().new_fixed_axis parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset) parx.axis[bottom].label.set_visible(True) hplt, = host.plot(np.random.rand(100)) p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0, color='green') plt.show() OK, answer my own question. Just remove the line 'parx.plot(...'). I didn't realize that I'd get the second axis drawn without that plot call, but it works fine. -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
Gökhan Sever wrote:
Hi,
The code below should create a properly placed 2nd x-axis. You might need to
adjust the placement of the figure canvas to match into the window.
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
fig = plt.figure(figsize=(10,8))
host = SubplotHost(fig, 111)
fig.add_subplot(host)
parx = host.twiny()
parx.axis[top].set_visible(False)
offset = 0, -50
new_axisline = parx.get_grid_helper().new_fixed_axis
parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset)
parx.axis[bottom].label.set_visible(True)
hplt, = host.plot(np.random.rand(100))
p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0,
color='green')
plt.show()
There is also another example at:
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisartist-
with-parasiteaxes
Hope this helps.
Yes, that's very helpful. Just one thing. How would I get a bit more bottom
margin on the main figure to leave more room for the extra axis?
I'm using this as an example. I experimented with plt.subplots_adjust, which
seems like it might do the right thing. Is this the 'best' approach?
(I really don't know what all these methods do, just guessing)
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
from matplotlib.backends.backend_pdf import PdfPages
pdf = PdfPages('results.pdf')
fig = plt.figure(figsize=(10,8))
host = SubplotHost(fig, 111)
ax = fig.add_subplot(host)
plt.subplots_adjust (bottom=0.1)
parx = host.twiny()
parx.axis[top].set_visible(False)
offset = 0, -30
new_axisline = parx.get_grid_helper().new_fixed_axis
parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset)
parx.axis[bottom].label.set_visible(True)
hplt, = host.plot(np.linspace(0,20,100), np.random.rand(100))
plt.xlabel ('Es/No')
p2, = parx.plot(np.linspace(0,20,100)-5, np.random.rand(100)*5.0, color='green')
parx.set_xlabel ('$Eb_{i}/No$')
#plt.show()
pdf.savefig (fig)
plt.close()
pdf.close()
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Re: [Matplotlib-users] 2 x-axes
Just in case, here is a version with axes_grid1 toolkit. Note that
axes_grid is kind of deprecated.
Regards,
-JJ
import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.axes_grid1 as axes_grid1
host = axes_grid1.host_subplot(111)
hplt, = host.plot(np.random.rand(100))
from matplotlib.transforms import Affine2D
transfrom_from_parx_to_host = Affine2D().scale(1000, 1)
parx = host.twin(transfrom_from_parx_to_host)
if 1: # adjust axis postion etc.
parx.axis[right].toggle(ticklabels=False)
parx.axis[top].toggle(ticklabels=False)
parx.axis[bottom].toggle(ticklabels=True)
parx.axis[bottom].line.set_visible(True)
parx.spines[bottom].set_position(('outward',20))
plt.show()
On Sat, Sep 10, 2011 at 6:14 AM, Gökhan Sever gokhanse...@gmail.com wrote:
Hi,
The code below should create a properly placed 2nd x-axis. You might need to
adjust the placement of the figure canvas to match into the window.
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid.parasite_axes import SubplotHost
fig = plt.figure(figsize=(10,8))
host = SubplotHost(fig, 111)
fig.add_subplot(host)
parx = host.twiny()
parx.axis[top].set_visible(False)
offset = 0, -50
new_axisline = parx.get_grid_helper().new_fixed_axis
parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset)
parx.axis[bottom].label.set_visible(True)
hplt, = host.plot(np.random.rand(100))
p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0,
color='green')
plt.show()
There is also another example at:
http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisartist-with-parasiteaxes
Hope this helps.
On Fri, Sep 9, 2011 at 12:50 PM, Neal Becker ndbeck...@gmail.com wrote:
Neal Becker wrote:
I have a semilog plot. I'd like to add a second x axis (maybe below the
existing one, or else maybe on top of graph). This second x axis is
simply
describing the same existing data, in different units.
For example imagine a plot of
x - time in seconds
y - velocity
x2 - time in minutes
This almost works:
fig = plt.figure()
ax = fig.add_subplot(111)
...
ax2 = ax.twiny()
min_x, max_x = ax.get_xlim()
ax2.set_xlim (min_x-1, max_x-1)
except the 2nd x axis is on the top, and prints right on top of the title
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Osterman Research conducted this study that outlines how and why cloud
computing security and archiving is rapidly being adopted across the IT
space for its ease of implementation, lower cost, and increased
reliability. Learn more. http://www.accelacomm.com/jaw/sfnl/114/51425301/
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Virtualization increases hardware utilization and delivers a new level of
agility. Learn what those decisions are and how to modernize your storage
and backup environments for virtualization.
http://www.accelacomm.com/jaw/sfnl/114/51434361/
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Re: [Matplotlib-users] 2 x-axes
On Sun, Sep 11, 2011 at 10:16 PM, Neal Becker ndbeck...@gmail.com wrote: Yes, that's very helpful. Just one thing. How would I get a bit more bottom margin on the main figure to leave more room for the extra axis? I'm using this as an example. I experimented with plt.subplots_adjust, which seems like it might do the right thing. Is this the 'best' approach? (I really don't know what all these methods do, just guessing) Yes, you need to fiddle with subplots_adjust command. The current development branch of matplotlib (not yet released) has a new function tight_layout, which does this automatically for you. Regards, -JJ -- Using storage to extend the benefits of virtualization and iSCSI Virtualization increases hardware utilization and delivers a new level of agility. Learn what those decisions are and how to modernize your storage and backup environments for virtualization. http://www.accelacomm.com/jaw/sfnl/114/51434361/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
Jae-Joon Lee wrote: On Sun, Sep 11, 2011 at 10:16 PM, Neal Becker ndbeck...@gmail.com wrote: Yes, that's very helpful. Just one thing. How would I get a bit more bottom margin on the main figure to leave more room for the extra axis? I'm using this as an example. I experimented with plt.subplots_adjust, which seems like it might do the right thing. Is this the 'best' approach? (I really don't know what all these methods do, just guessing) Yes, you need to fiddle with subplots_adjust command. The current development branch of matplotlib (not yet released) has a new function tight_layout, which does this automatically for you. Regards, -JJ Looking forward to that. Any idea of an ETA for a release? -- Using storage to extend the benefits of virtualization and iSCSI Virtualization increases hardware utilization and delivers a new level of agility. Learn what those decisions are and how to modernize your storage and backup environments for virtualization. http://www.accelacomm.com/jaw/sfnl/114/51434361/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
The master is here. JJ had showed me those multi axes tricks and he is back again with the plenty of changes to the axes_grid toolkit. The best thing to do is to make a new clone from the master repo and experiment. On Sun, Sep 11, 2011 at 1:37 PM, Neal Becker ndbeck...@gmail.com wrote: Jae-Joon Lee wrote: On Sun, Sep 11, 2011 at 10:16 PM, Neal Becker ndbeck...@gmail.com wrote: Yes, that's very helpful. Just one thing. How would I get a bit more bottom margin on the main figure to leave more room for the extra axis? I'm using this as an example. I experimented with plt.subplots_adjust, which seems like it might do the right thing. Is this the 'best' approach? (I really don't know what all these methods do, just guessing) Yes, you need to fiddle with subplots_adjust command. The current development branch of matplotlib (not yet released) has a new function tight_layout, which does this automatically for you. Regards, -JJ Looking forward to that. Any idea of an ETA for a release? -- Using storage to extend the benefits of virtualization and iSCSI Virtualization increases hardware utilization and delivers a new level of agility. Learn what those decisions are and how to modernize your storage and backup environments for virtualization. http://www.accelacomm.com/jaw/sfnl/114/51434361/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Gökhan -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
Neal Becker wrote: I have a semilog plot. I'd like to add a second x axis (maybe below the existing one, or else maybe on top of graph). This second x axis is simply describing the same existing data, in different units. For example imagine a plot of x - time in seconds y - velocity x2 - time in minutes This almost works: fig = plt.figure() ax = fig.add_subplot(111) ... ax2 = ax.twiny() min_x, max_x = ax.get_xlim() ax2.set_xlim (min_x-1, max_x-1) except the 2nd x axis is on the top, and prints right on top of the title -- Why Cloud-Based Security and Archiving Make Sense Osterman Research conducted this study that outlines how and why cloud computing security and archiving is rapidly being adopted across the IT space for its ease of implementation, lower cost, and increased reliability. Learn more. http://www.accelacomm.com/jaw/sfnl/114/51425301/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] 2 x-axes
Hi, The code below should create a properly placed 2nd x-axis. You might need to adjust the placement of the figure canvas to match into the window. import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.axes_grid.parasite_axes import SubplotHost fig = plt.figure(figsize=(10,8)) host = SubplotHost(fig, 111) fig.add_subplot(host) parx = host.twiny() parx.axis[top].set_visible(False) offset = 0, -50 new_axisline = parx.get_grid_helper().new_fixed_axis parx.axis[bottom] = new_axisline(loc=bottom, axes=parx, offset=offset) parx.axis[bottom].label.set_visible(True) hplt, = host.plot(np.random.rand(100)) p2, = parx.plot(np.linspace(0,20,100), np.random.rand(100)*5.0, color='green') plt.show() There is also another example at: http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/overview.html#axisartist-with-parasiteaxes Hope this helps. On Fri, Sep 9, 2011 at 12:50 PM, Neal Becker ndbeck...@gmail.com wrote: Neal Becker wrote: I have a semilog plot. I'd like to add a second x axis (maybe below the existing one, or else maybe on top of graph). This second x axis is simply describing the same existing data, in different units. For example imagine a plot of x - time in seconds y - velocity x2 - time in minutes This almost works: fig = plt.figure() ax = fig.add_subplot(111) ... ax2 = ax.twiny() min_x, max_x = ax.get_xlim() ax2.set_xlim (min_x-1, max_x-1) except the 2nd x axis is on the top, and prints right on top of the title -- Why Cloud-Based Security and Archiving Make Sense Osterman Research conducted this study that outlines how and why cloud computing security and archiving is rapidly being adopted across the IT space for its ease of implementation, lower cost, and increased reliability. Learn more. http://www.accelacomm.com/jaw/sfnl/114/51425301/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Gökhan -- Why Cloud-Based Security and Archiving Make Sense Osterman Research conducted this study that outlines how and why cloud computing security and archiving is rapidly being adopted across the IT space for its ease of implementation, lower cost, and increased reliability. Learn more. http://www.accelacomm.com/jaw/sfnl/114/51425301/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
