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## matplotlib-users

 [Matplotlib-users] Simplified version of double-axis time example (beta) From: Gökhan Sever - 2009-09-27 16:32:51 Attachments: Message as HTML ```Hello, As was suggested by Jae-Joon, I have simplified the code for easier investigation and run. The aim of the script is to have time represented on both bottom and top x-axes, on the bottom in seconds-from-midnight (SFM), and the top should show as HH:MM:SS, while there is two different data source being used for y-axes. The code could be seen here or from http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py Currently something wrong with the scaling, since the right y-axis data is missing on the plotting area. Also, sfm hasn't been converted to HH:MM:SS. adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) doesn't remedy the situation as of yet. All comments are welcome. ### BEGIN CODE ### #!/usr/bin/env python """ Double time representation. Bottom x-axis shows time in seconds-from-midnight (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. Initially written by Gokhan Sever with helps from Jae-Joon Lee. Written: 2009-09-27 """ import numpy as np import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms from mpl_toolkits.axes_grid.parasite_axes import SubplotHost # Prepare some random data and time for seconds-from-midnight (sfm) representation ydata1 = np.random.random(100) * 1000 ydata2 = np.ones(100) / 2. time = np.arange(3550, 3650) fig = plt.figure() host = SubplotHost(fig, 111) fig.add_subplot(host) # This is the heart of the example. We have to scale the axes correctly. aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, ydata1.max()) par = host.twin(aux_trans) host.set_xlabel("Time [sfm]") host.set_ylabel("Random Data 1") par.set_ylabel("Random Data 2") par.axis["right"].label.set_visible(True) p1, = host.plot(time, ydata1) p2, = par.plot(time, ydata2) host.axis["left"].label.set_color(p1.get_color()) par.axis["right"].label.set_color(p2.get_color()) host.axis["bottom"].label.set_size(16) host.axis["left"].label.set_size(16) par.axis["right"].label.set_size(16) # Move the title little upwards so it won't overlap with the ticklabels title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) title.set_position((0.5, 1.05)) plt.show() ### END CODE ### -- Gökhan ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Jae-Joon Lee - 2009-09-27 18:50:52 ```Here is the modified version of your code that works for me. 1) If you change trans_aux, you also need to plot your data in an appropriate coordinate. Your original code did not work because you scaled the xaxis of the second axes (par) but you were still plotting the original data, i.e., "time" need to be scaled if you want to plot it on "par". The code below takes slightly different approach. 2) I fount that I was wrong with the factor of 3600. It needs to be 86400, i.e., a day in seconds. Also, The unit must be larger than 1. Again, please take a look how datetime unit works. Regards, -JJ import numpy as np import matplotlib.pyplot as plt import matplotlib.transforms as mtransforms from mpl_toolkits.axes_grid.parasite_axes import SubplotHost # Prepare some random data and time for seconds-from-midnight (sfm) representation ydata1 = np.random.random(100) * 1000 ydata2 = np.ones(100) / 2. time = np.arange(3550, 3650) fig = plt.figure() host = SubplotHost(fig, 111) fig.add_subplot(host) # This is the heart of the example. We have to scale the axes correctly. aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, ydata1.max()) par = host.twin(aux_trans) host.set_xlabel("Time [sfm]") host.set_ylabel("Random Data 1") par.set_ylabel("Random Data 2") par.axis["right"].label.set_visible(True) p1, = host.plot(time, ydata1) p2, = par.plot(time, ydata2) host.axis["left"].label.set_color(p1.get_color()) par.axis["right"].label.set_color(p2.get_color()) host.axis["bottom"].label.set_size(16) host.axis["left"].label.set_size(16) par.axis["right"].label.set_size(16) # Move the title little upwards so it won't overlap with the ticklabels title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) title.set_position((0.5, 1.05)) plt.show() On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever wrote: > Hello, > > As was suggested by Jae-Joon, I have simplified the code for easier > investigation and run. The aim of the script is to have time represented on > both bottom and top x-axes, on the bottom in seconds-from-midnight (SFM), > and the top should show as HH:MM:SS, while there is two different data > source being used for y-axes. The code could be seen here or from > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py > > Currently something wrong with the scaling, since the right y-axis data is > missing on the plotting area. Also, sfm hasn't been converted to HH:MM:SS. > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) > doesn't remedy the situation as of yet. > > All comments are welcome. > > ### BEGIN CODE ### > #!/usr/bin/env python > > """ > > Double time representation. Bottom x-axis shows time in > seconds-from-midnight > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. > > Initially written by Gokhan Sever with helps from Jae-Joon Lee. > > Written: 2009-09-27 > > """ > > import numpy as np > import matplotlib.pyplot as plt > import matplotlib.transforms as mtransforms > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost > > > # Prepare some random data and time for seconds-from-midnight (sfm) > representation > ydata1 = np.random.random(100) * 1000 > ydata2 = np.ones(100) / 2. > time = np.arange(3550, 3650) > > > fig = plt.figure() > host = SubplotHost(fig, 111) > fig.add_subplot(host) > > # This is the heart of the example. We have to scale the axes correctly. > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, > ydata1.max()) > par = host.twin(aux_trans) > > host.set_xlabel("Time [sfm]") > host.set_ylabel("Random Data 1") > par.set_ylabel("Random Data 2") > par.axis["right"].label.set_visible(True) > > p1, = host.plot(time, ydata1) > p2, = par.plot(time, ydata2) > > host.axis["left"].label.set_color(p1.get_color()) > par.axis["right"].label.set_color(p2.get_color()) > > host.axis["bottom"].label.set_size(16) > host.axis["left"].label.set_size(16) > par.axis["right"].label.set_size(16) > > # Move the title little upwards so it won't overlap with the ticklabels > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) > title.set_position((0.5, 1.05)) > > plt.show() > ### END CODE ### > > > -- > Gökhan > > ------------------------------------------------------------------------------ > Come build with us! The BlackBerry® Developer Conference in SF, CA > is the only developer event you need to attend this year. Jumpstart your > developing skills, take BlackBerry mobile applications to market and stay > ahead of the curve. Join us from November 9-12, 2009. Register now! > http://p.sf.net/sfu/devconf > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Gökhan Sever - 2009-09-27 19:09:22 Attachments: Message as HTML ```JJ, Could you please re-attach the code? Apparently, it has been forgotten on your reply. Thanks. On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee wrote: > Here is the modified version of your code that works for me. > > 1) If you change trans_aux, you also need to plot your data in an > appropriate coordinate. Your original code did not work because you > scaled the xaxis of the second axes (par) but you were still plotting > the original data, i.e., "time" need to be scaled if you want to plot > it on "par". The code below takes slightly different approach. > > 2) I fount that I was wrong with the factor of 3600. It needs to be > 86400, i.e., a day in seconds. Also, The unit must be larger than 1. > Again, please take a look how datetime unit works. > > Regards, > > -JJ > > > import numpy as np > import matplotlib.pyplot as plt > import matplotlib.transforms as mtransforms > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost > > > # Prepare some random data and time for seconds-from-midnight (sfm) > representation > ydata1 = np.random.random(100) * 1000 > ydata2 = np.ones(100) / 2. > time = np.arange(3550, 3650) > > > fig = plt.figure() > host = SubplotHost(fig, 111) > fig.add_subplot(host) > > # This is the heart of the example. We have to scale the axes correctly. > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, > ydata1.max()) > par = host.twin(aux_trans) > > host.set_xlabel("Time [sfm]") > host.set_ylabel("Random Data 1") > par.set_ylabel("Random Data 2") > par.axis["right"].label.set_visible(True) > > p1, = host.plot(time, ydata1) > p2, = par.plot(time, ydata2) > > host.axis["left"].label.set_color(p1.get_color()) > par.axis["right"].label.set_color(p2.get_color()) > > host.axis["bottom"].label.set_size(16) > host.axis["left"].label.set_size(16) > par.axis["right"].label.set_size(16) > > # Move the title little upwards so it won't overlap with the ticklabels > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) > title.set_position((0.5, 1.05)) > > plt.show() > > > On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever > wrote: > > Hello, > > > > As was suggested by Jae-Joon, I have simplified the code for easier > > investigation and run. The aim of the script is to have time represented > on > > both bottom and top x-axes, on the bottom in seconds-from-midnight (SFM), > > and the top should show as HH:MM:SS, while there is two different data > > source being used for y-axes. The code could be seen here or from > > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py > > > > Currently something wrong with the scaling, since the right y-axis data > is > > missing on the plotting area. Also, sfm hasn't been converted to > HH:MM:SS. > > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) > > doesn't remedy the situation as of yet. > > > > All comments are welcome. > > > > ### BEGIN CODE ### > > #!/usr/bin/env python > > > > """ > > > > Double time representation. Bottom x-axis shows time in > > seconds-from-midnight > > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. > > > > Initially written by Gokhan Sever with helps from Jae-Joon Lee. > > > > Written: 2009-09-27 > > > > """ > > > > import numpy as np > > import matplotlib.pyplot as plt > > import matplotlib.transforms as mtransforms > > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost > > > > > > # Prepare some random data and time for seconds-from-midnight (sfm) > > representation > > ydata1 = np.random.random(100) * 1000 > > ydata2 = np.ones(100) / 2. > > time = np.arange(3550, 3650) > > > > > > fig = plt.figure() > > host = SubplotHost(fig, 111) > > fig.add_subplot(host) > > > > # This is the heart of the example. We have to scale the axes correctly. > > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, > > ydata1.max()) > > par = host.twin(aux_trans) > > > > host.set_xlabel("Time [sfm]") > > host.set_ylabel("Random Data 1") > > par.set_ylabel("Random Data 2") > > par.axis["right"].label.set_visible(True) > > > > p1, = host.plot(time, ydata1) > > p2, = par.plot(time, ydata2) > > > > host.axis["left"].label.set_color(p1.get_color()) > > par.axis["right"].label.set_color(p2.get_color()) > > > > host.axis["bottom"].label.set_size(16) > > host.axis["left"].label.set_size(16) > > par.axis["right"].label.set_size(16) > > > > # Move the title little upwards so it won't overlap with the ticklabels > > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) > > title.set_position((0.5, 1.05)) > > > > plt.show() > > ### END CODE ### > > > > > > -- > > Gökhan > > > > > ------------------------------------------------------------------------------ > > Come build with us! The BlackBerry® Developer Conference in SF, CA > > is the only developer event you need to attend this year. Jumpstart your > > developing skills, take BlackBerry mobile applications to market and stay > > ahead of the curve. Join us from November 9-12, 2009. Register > now! > > http://p.sf.net/sfu/devconf > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users@... > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > > > -- Gökhan ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Jae-Joon Lee - 2009-09-27 19:12:43 Attachments: asdsd.py ```Here it is. -JJ On Sun, Sep 27, 2009 at 3:09 PM, Gökhan Sever wrote: > JJ, > > Could you please re-attach the code? Apparently, it has been forgotten on > your reply. > > Thanks. > > On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee wrote: >> >> Here is the modified version of your code that works for me. >> >> 1) If you change trans_aux, you also need to plot your data in an >> appropriate coordinate. Your original code did not work because you >> scaled the xaxis of the second axes (par) but you were still plotting >> the original data, i.e., "time" need to be scaled if you want to plot >> it on "par". The code below takes slightly different approach. >> >> 2) I fount that I was wrong with the factor of 3600. It needs to be >> 86400, i.e., a day in seconds. Also, The unit must be larger than 1. >> Again, please take a look how datetime unit works. >> >> Regards, >> >> -JJ >> >> >> import numpy as np >> import matplotlib.pyplot as plt >> import matplotlib.transforms as mtransforms >> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> >> >> # Prepare some random data and time for seconds-from-midnight (sfm) >> representation >> ydata1 = np.random.random(100) * 1000 >> ydata2 = np.ones(100) / 2. >> time = np.arange(3550, 3650) >> >> >> fig = plt.figure() >> host = SubplotHost(fig, 111) >> fig.add_subplot(host) >> >> # This is the heart of the example. We have to scale the axes correctly. >> aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> ydata1.max()) >> par = host.twin(aux_trans) >> >> host.set_xlabel("Time [sfm]") >> host.set_ylabel("Random Data 1") >> par.set_ylabel("Random Data 2") >> par.axis["right"].label.set_visible(True) >> >> p1, = host.plot(time, ydata1) >> p2, = par.plot(time, ydata2) >> >> host.axis["left"].label.set_color(p1.get_color()) >> par.axis["right"].label.set_color(p2.get_color()) >> >> host.axis["bottom"].label.set_size(16) >> host.axis["left"].label.set_size(16) >> par.axis["right"].label.set_size(16) >> >> # Move the title little upwards so it won't overlap with the ticklabels >> title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> title.set_position((0.5, 1.05)) >> >> plt.show() >> >> >> On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever >> wrote: >> > Hello, >> > >> > As was suggested by Jae-Joon, I have simplified the code for easier >> > investigation and run. The aim of the script is to have time represented >> > on >> > both bottom and top x-axes, on the bottom in seconds-from-midnight >> > (SFM), >> > and the top should show as HH:MM:SS, while there is two different data >> > source being used for y-axes. The code could be seen here or from >> > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py >> > >> > Currently something wrong with the scaling, since the right y-axis data >> > is >> > missing on the plotting area. Also, sfm hasn't been converted to >> > HH:MM:SS. >> > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) >> > doesn't remedy the situation as of yet. >> > >> > All comments are welcome. >> > >> > ### BEGIN CODE ### >> > #!/usr/bin/env python >> > >> > """ >> > >> > Double time representation. Bottom x-axis shows time in >> > seconds-from-midnight >> > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. >> > >> > Initially written by Gokhan Sever with helps from Jae-Joon Lee. >> > >> > Written: 2009-09-27 >> > >> > """ >> > >> > import numpy as np >> > import matplotlib.pyplot as plt >> > import matplotlib.transforms as mtransforms >> > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> > >> > >> > # Prepare some random data and time for seconds-from-midnight (sfm) >> > representation >> > ydata1 = np.random.random(100) * 1000 >> > ydata2 = np.ones(100) / 2. >> > time = np.arange(3550, 3650) >> > >> > >> > fig = plt.figure() >> > host = SubplotHost(fig, 111) >> > fig.add_subplot(host) >> > >> > # This is the heart of the example. We have to scale the axes correctly. >> > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> > ydata1.max()) >> > par = host.twin(aux_trans) >> > >> > host.set_xlabel("Time [sfm]") >> > host.set_ylabel("Random Data 1") >> > par.set_ylabel("Random Data 2") >> > par.axis["right"].label.set_visible(True) >> > >> > p1, = host.plot(time, ydata1) >> > p2, = par.plot(time, ydata2) >> > >> > host.axis["left"].label.set_color(p1.get_color()) >> > par.axis["right"].label.set_color(p2.get_color()) >> > >> > host.axis["bottom"].label.set_size(16) >> > host.axis["left"].label.set_size(16) >> > par.axis["right"].label.set_size(16) >> > >> > # Move the title little upwards so it won't overlap with the ticklabels >> > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> > title.set_position((0.5, 1.05)) >> > >> > plt.show() >> > ### END CODE ### >> > >> > >> > -- >> > Gökhan >> > >> > >> > ------------------------------------------------------------------------------ >> > Come build with us! The BlackBerry® Developer Conference in SF, CA >> > is the only developer event you need to attend this year. Jumpstart your >> > developing skills, take BlackBerry mobile applications to market and >> > stay >> > ahead of the curve. Join us from November 9-12, 2009. Register >> > now! >> > http://p.sf.net/sfu/devconf >> > _______________________________________________ >> > Matplotlib-users mailing list >> > Matplotlib-users@... >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> > >> > > > > > -- > Gökhan > ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Gökhan Sever - 2009-09-27 20:18:47 Attachments: Message as HTML ```When I run this as it is, and zoom once the top x-axis ticklabels disappear: http://img2.imageshack.us/img2/5493/zoom1.png After commenting these three lines: #locator = MinuteLocator(interval=1) #locator = SecondLocator(interval=30) #par2.xaxis.set_major_locator(locator) and running I get somewhat nice view after zooms: http://img340.imageshack.us/img340/6632/zoom2.png with a minute discrepancy; resulting with shifts on the top x-labels. Any last thoughts? On Sun, Sep 27, 2009 at 2:12 PM, Jae-Joon Lee wrote: > Here it is. > > -JJ > > On Sun, Sep 27, 2009 at 3:09 PM, Gökhan Sever > wrote: > > JJ, > > > > Could you please re-attach the code? Apparently, it has been forgotten on > > your reply. > > > > Thanks. > > > > On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee > wrote: > >> > >> Here is the modified version of your code that works for me. > >> > >> 1) If you change trans_aux, you also need to plot your data in an > >> appropriate coordinate. Your original code did not work because you > >> scaled the xaxis of the second axes (par) but you were still plotting > >> the original data, i.e., "time" need to be scaled if you want to plot > >> it on "par". The code below takes slightly different approach. > >> > >> 2) I fount that I was wrong with the factor of 3600. It needs to be > >> 86400, i.e., a day in seconds. Also, The unit must be larger than 1. > >> Again, please take a look how datetime unit works. > >> > >> Regards, > >> > >> -JJ > >> > >> > >> import numpy as np > >> import matplotlib.pyplot as plt > >> import matplotlib.transforms as mtransforms > >> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost > >> > >> > >> # Prepare some random data and time for seconds-from-midnight (sfm) > >> representation > >> ydata1 = np.random.random(100) * 1000 > >> ydata2 = np.ones(100) / 2. > >> time = np.arange(3550, 3650) > >> > >> > >> fig = plt.figure() > >> host = SubplotHost(fig, 111) > >> fig.add_subplot(host) > >> > >> # This is the heart of the example. We have to scale the axes correctly. > >> aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, > >> ydata1.max()) > >> par = host.twin(aux_trans) > >> > >> host.set_xlabel("Time [sfm]") > >> host.set_ylabel("Random Data 1") > >> par.set_ylabel("Random Data 2") > >> par.axis["right"].label.set_visible(True) > >> > >> p1, = host.plot(time, ydata1) > >> p2, = par.plot(time, ydata2) > >> > >> host.axis["left"].label.set_color(p1.get_color()) > >> par.axis["right"].label.set_color(p2.get_color()) > >> > >> host.axis["bottom"].label.set_size(16) > >> host.axis["left"].label.set_size(16) > >> par.axis["right"].label.set_size(16) > >> > >> # Move the title little upwards so it won't overlap with the ticklabels > >> title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) > >> title.set_position((0.5, 1.05)) > >> > >> plt.show() > >> > >> > >> On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever > >> wrote: > >> > Hello, > >> > > >> > As was suggested by Jae-Joon, I have simplified the code for easier > >> > investigation and run. The aim of the script is to have time > represented > >> > on > >> > both bottom and top x-axes, on the bottom in seconds-from-midnight > >> > (SFM), > >> > and the top should show as HH:MM:SS, while there is two different data > >> > source being used for y-axes. The code could be seen here or from > >> > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py > >> > > >> > Currently something wrong with the scaling, since the right y-axis > data > >> > is > >> > missing on the plotting area. Also, sfm hasn't been converted to > >> > HH:MM:SS. > >> > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) > >> > doesn't remedy the situation as of yet. > >> > > >> > All comments are welcome. > >> > > >> > ### BEGIN CODE ### > >> > #!/usr/bin/env python > >> > > >> > """ > >> > > >> > Double time representation. Bottom x-axis shows time in > >> > seconds-from-midnight > >> > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. > >> > > >> > Initially written by Gokhan Sever with helps from Jae-Joon Lee. > >> > > >> > Written: 2009-09-27 > >> > > >> > """ > >> > > >> > import numpy as np > >> > import matplotlib.pyplot as plt > >> > import matplotlib.transforms as mtransforms > >> > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost > >> > > >> > > >> > # Prepare some random data and time for seconds-from-midnight (sfm) > >> > representation > >> > ydata1 = np.random.random(100) * 1000 > >> > ydata2 = np.ones(100) / 2. > >> > time = np.arange(3550, 3650) > >> > > >> > > >> > fig = plt.figure() > >> > host = SubplotHost(fig, 111) > >> > fig.add_subplot(host) > >> > > >> > # This is the heart of the example. We have to scale the axes > correctly. > >> > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, > >> > ydata1.max()) > >> > par = host.twin(aux_trans) > >> > > >> > host.set_xlabel("Time [sfm]") > >> > host.set_ylabel("Random Data 1") > >> > par.set_ylabel("Random Data 2") > >> > par.axis["right"].label.set_visible(True) > >> > > >> > p1, = host.plot(time, ydata1) > >> > p2, = par.plot(time, ydata2) > >> > > >> > host.axis["left"].label.set_color(p1.get_color()) > >> > par.axis["right"].label.set_color(p2.get_color()) > >> > > >> > host.axis["bottom"].label.set_size(16) > >> > host.axis["left"].label.set_size(16) > >> > par.axis["right"].label.set_size(16) > >> > > >> > # Move the title little upwards so it won't overlap with the > ticklabels > >> > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) > >> > title.set_position((0.5, 1.05)) > >> > > >> > plt.show() > >> > ### END CODE ### > >> > > >> > > >> > -- > >> > Gökhan > >> > > >> > > >> > > ------------------------------------------------------------------------------ > >> > Come build with us! The BlackBerry® Developer Conference in SF, CA > >> > is the only developer event you need to attend this year. Jumpstart > your > >> > developing skills, take BlackBerry mobile applications to market and > >> > stay > >> > ahead of the curve. Join us from November 9-12, 2009. Register > >> > now! > >> > http://p.sf.net/sfu/devconf > >> > _______________________________________________ > >> > Matplotlib-users mailing list > >> > Matplotlib-users@... > >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > >> > > >> > > > > > > > > > -- > > Gökhan > > > -- Gökhan ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Jae-Joon Lee - 2009-09-28 00:44:34 ```On Sun, Sep 27, 2009 at 4:18 PM, Gökhan Sever wrote: > When I run this as it is, and zoom once the top x-axis ticklabels disappear: > http://img2.imageshack.us/img2/5493/zoom1.png > > After commenting these three lines: > > #locator    = MinuteLocator(interval=1) > #locator    = SecondLocator(interval=30) > #par2.xaxis.set_major_locator(locator) > > and running I get somewhat nice view after zooms: > http://img340.imageshack.us/img340/6632/zoom2.png > > with a minute discrepancy; resulting with shifts on the top x-labels. > > Any last thoughts? > I believe that this is due to wrong tick locations. As you easily guess, the default tick locators are not suitable for datetime ticks and this is why we have separate locators. Please take a look at documentations. http://matplotlib.sourceforge.net/api/dates_api.html If you want to have locator that works for several zoom levels, you may try AutoDateLocator. from matplotlib.dates import DateFormatter, MinuteLocator, SecondLocator, AutoDateLocator, AutoDateFormatter locator = AutoDateLocator() par2.xaxis.set_major_locator(locator) formatter=AutoDateFormatter(locator) par2.xaxis.set_major_formatter(formatter) par2.axis["top"].major_ticklabels.set(rotation=30, ha="left", va="bottom") While the AutoLocator seems to give too may ticks in my opinion, I think this is as far as I can help. Regards, -JJ > On Sun, Sep 27, 2009 at 2:12 PM, Jae-Joon Lee wrote: >> >> Here it is. >> >> -JJ >> >> On Sun, Sep 27, 2009 at 3:09 PM, Gökhan Sever >> wrote: >> > JJ, >> > >> > Could you please re-attach the code? Apparently, it has been forgotten >> > on >> > your reply. >> > >> > Thanks. >> > >> > On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee >> > wrote: >> >> >> >> Here is the modified version of your code that works for me. >> >> >> >> 1) If you change trans_aux, you also need to plot your data in an >> >> appropriate coordinate. Your original code did not work because you >> >> scaled the xaxis of the second axes (par) but you were still plotting >> >> the original data, i.e., "time" need to be scaled if you want to plot >> >> it on "par". The code below takes slightly different approach. >> >> >> >> 2) I fount that I was wrong with the factor of 3600. It needs to be >> >> 86400, i.e., a day in seconds. Also, The unit must be larger than 1. >> >> Again, please take a look how datetime unit works. >> >> >> >> Regards, >> >> >> >> -JJ >> >> >> >> >> >> import numpy as np >> >> import matplotlib.pyplot as plt >> >> import matplotlib.transforms as mtransforms >> >> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> >> >> >> >> >> # Prepare some random data and time for seconds-from-midnight (sfm) >> >> representation >> >> ydata1 = np.random.random(100) * 1000 >> >> ydata2 = np.ones(100) / 2. >> >> time = np.arange(3550, 3650) >> >> >> >> >> >> fig = plt.figure() >> >> host = SubplotHost(fig, 111) >> >> fig.add_subplot(host) >> >> >> >> # This is the heart of the example. We have to scale the axes >> >> correctly. >> >> aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> >> ydata1.max()) >> >> par = host.twin(aux_trans) >> >> >> >> host.set_xlabel("Time [sfm]") >> >> host.set_ylabel("Random Data 1") >> >> par.set_ylabel("Random Data 2") >> >> par.axis["right"].label.set_visible(True) >> >> >> >> p1, = host.plot(time, ydata1) >> >> p2, = par.plot(time, ydata2) >> >> >> >> host.axis["left"].label.set_color(p1.get_color()) >> >> par.axis["right"].label.set_color(p2.get_color()) >> >> >> >> host.axis["bottom"].label.set_size(16) >> >> host.axis["left"].label.set_size(16) >> >> par.axis["right"].label.set_size(16) >> >> >> >> # Move the title little upwards so it won't overlap with the ticklabels >> >> title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> >> title.set_position((0.5, 1.05)) >> >> >> >> plt.show() >> >> >> >> >> >> On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever >> >> wrote: >> >> > Hello, >> >> > >> >> > As was suggested by Jae-Joon, I have simplified the code for easier >> >> > investigation and run. The aim of the script is to have time >> >> > represented >> >> > on >> >> > both bottom and top x-axes, on the bottom in seconds-from-midnight >> >> > (SFM), >> >> > and the top should show as HH:MM:SS, while there is two different >> >> > data >> >> > source being used for y-axes. The code could be seen here or from >> >> > http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py >> >> > >> >> > Currently something wrong with the scaling, since the right y-axis >> >> > data >> >> > is >> >> > missing on the plotting area. Also, sfm hasn't been converted to >> >> > HH:MM:SS. >> >> > adding this: par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) >> >> > doesn't remedy the situation as of yet. >> >> > >> >> > All comments are welcome. >> >> > >> >> > ### BEGIN CODE ### >> >> > #!/usr/bin/env python >> >> > >> >> > """ >> >> > >> >> > Double time representation. Bottom x-axis shows time in >> >> > seconds-from-midnight >> >> > (sfm) fashion, whereas the top x-axis uses HH:MM:SS representation. >> >> > >> >> > Initially written by Gokhan Sever with helps from Jae-Joon Lee. >> >> > >> >> > Written: 2009-09-27 >> >> > >> >> > """ >> >> > >> >> > import numpy as np >> >> > import matplotlib.pyplot as plt >> >> > import matplotlib.transforms as mtransforms >> >> > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> >> > >> >> > >> >> > # Prepare some random data and time for seconds-from-midnight (sfm) >> >> > representation >> >> > ydata1 = np.random.random(100) * 1000 >> >> > ydata2 = np.ones(100) / 2. >> >> > time = np.arange(3550, 3650) >> >> > >> >> > >> >> > fig = plt.figure() >> >> > host = SubplotHost(fig, 111) >> >> > fig.add_subplot(host) >> >> > >> >> > # This is the heart of the example. We have to scale the axes >> >> > correctly. >> >> > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> >> > ydata1.max()) >> >> > par = host.twin(aux_trans) >> >> > >> >> > host.set_xlabel("Time [sfm]") >> >> > host.set_ylabel("Random Data 1") >> >> > par.set_ylabel("Random Data 2") >> >> > par.axis["right"].label.set_visible(True) >> >> > >> >> > p1, = host.plot(time, ydata1) >> >> > p2, = par.plot(time, ydata2) >> >> > >> >> > host.axis["left"].label.set_color(p1.get_color()) >> >> > par.axis["right"].label.set_color(p2.get_color()) >> >> > >> >> > host.axis["bottom"].label.set_size(16) >> >> > host.axis["left"].label.set_size(16) >> >> > par.axis["right"].label.set_size(16) >> >> > >> >> > # Move the title little upwards so it won't overlap with the >> >> > ticklabels >> >> > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> >> > title.set_position((0.5, 1.05)) >> >> > >> >> > plt.show() >> >> > ### END CODE ### >> >> > >> >> > >> >> > -- >> >> > Gökhan >> >> > >> >> > >> >> > >> >> > ------------------------------------------------------------------------------ >> >> > Come build with us! The BlackBerry® Developer Conference in SF, >> >> > CA >> >> > is the only developer event you need to attend this year. Jumpstart >> >> > your >> >> > developing skills, take BlackBerry mobile applications to market and >> >> > stay >> >> > ahead of the curve. Join us from November 9-12, 2009. Register >> >> > now! >> >> > http://p.sf.net/sfu/devconf >> >> > _______________________________________________ >> >> > Matplotlib-users mailing list >> >> > Matplotlib-users@... >> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> > >> >> > >> > >> > >> > >> > -- >> > Gökhan >> > > > > > -- > Gökhan > ```
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Gökhan Sever - 2009-09-28 02:16:45 Attachments: Message as HTML     double_time.py
 Re: [Matplotlib-users] Simplified version of double-axis time example (beta) From: Gökhan Sever - 2009-09-28 17:00:05 Attachments: Message as HTML ```There is On Sun, Sep 27, 2009 at 8:49 PM, Gökhan Sever wrote: > > > On Sun, Sep 27, 2009 at 7:44 PM, Jae-Joon Lee wrote: > >> On Sun, Sep 27, 2009 at 4:18 PM, Gökhan Sever >> wrote: >> > When I run this as it is, and zoom once the top x-axis ticklabels >> disappear: >> > http://img2.imageshack.us/img2/5493/zoom1.png >> > >> > After commenting these three lines: >> > >> > #locator = MinuteLocator(interval=1) >> > #locator = SecondLocator(interval=30) >> > #par2.xaxis.set_major_locator(locator) >> > >> > and running I get somewhat nice view after zooms: >> > http://img340.imageshack.us/img340/6632/zoom2.png >> > >> > with a minute discrepancy; resulting with shifts on the top x-labels. >> > >> > Any last thoughts? >> > >> >> I believe that this is due to wrong tick locations. As you easily >> guess, the default tick locators are not suitable for datetime ticks >> and this is why we have separate locators. Please take a look at >> documentations. >> >> http://matplotlib.sourceforge.net/api/dates_api.html >> >> If you want to have locator that works for several zoom levels, you >> may try AutoDateLocator. >> >> >> from matplotlib.dates import DateFormatter, MinuteLocator, >> SecondLocator, AutoDateLocator, AutoDateFormatter >> locator = AutoDateLocator() >> par2.xaxis.set_major_locator(locator) >> formatter=AutoDateFormatter(locator) >> par2.xaxis.set_major_formatter(formatter) >> >> par2.axis["top"].major_ticklabels.set(rotation=30, >> ha="left", >> va="bottom") >> >> >> While the AutoLocator seems to give too may ticks in my opinion, I >> think this is as far as I can help. >> >> Regards, >> >> -JJ >> > > Yep, thanks. That gives so many ticks indeed. Would be nicer to see labels > in every other tick. > > This said, > > locator = SecondLocator(interval=20) > par2.xaxis.set_major_locator(locator) > par2.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) > > satisfies my initial thoughts. With some pan and zoom I can achieve what I > want. > > Attaching the final modified file. I think this is a good demonstrative > example. It is up to you further put the script into the axes_grid examples. > > Thanks again for your efforts. > > > There is still issues with this approach. First and foremost it is very slow when the arrays plotted are big (in my case ~8000 points.) AutoDateLocator() works fast, however on some zoomings the top axis is filled with labels. This needs to be addressed. Could anyone help me to see the flow of the AutoDateLocator() class' updates? It only behaves weird on some certain zooms, put how is this updated on the screen is a mystery to me so far. I have Eclipse + PyDev, but don't know where should I set the breakpoints to analyse this behaviour? Thanks. > > > >> >> >> > On Sun, Sep 27, 2009 at 2:12 PM, Jae-Joon Lee >> wrote: >> >> >> >> Here it is. >> >> >> >> -JJ >> >> >> >> On Sun, Sep 27, 2009 at 3:09 PM, Gökhan Sever >> >> wrote: >> >> > JJ, >> >> > >> >> > Could you please re-attach the code? Apparently, it has been >> forgotten >> >> > on >> >> > your reply. >> >> > >> >> > Thanks. >> >> > >> >> > On Sun, Sep 27, 2009 at 1:50 PM, Jae-Joon Lee >> >> > wrote: >> >> >> >> >> >> Here is the modified version of your code that works for me. >> >> >> >> >> >> 1) If you change trans_aux, you also need to plot your data in an >> >> >> appropriate coordinate. Your original code did not work because you >> >> >> scaled the xaxis of the second axes (par) but you were still >> plotting >> >> >> the original data, i.e., "time" need to be scaled if you want to >> plot >> >> >> it on "par". The code below takes slightly different approach. >> >> >> >> >> >> 2) I fount that I was wrong with the factor of 3600. It needs to be >> >> >> 86400, i.e., a day in seconds. Also, The unit must be larger than 1. >> >> >> Again, please take a look how datetime unit works. >> >> >> >> >> >> Regards, >> >> >> >> >> >> -JJ >> >> >> >> >> >> >> >> >> import numpy as np >> >> >> import matplotlib.pyplot as plt >> >> >> import matplotlib.transforms as mtransforms >> >> >> from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> >> >> >> >> >> >> >> >> # Prepare some random data and time for seconds-from-midnight (sfm) >> >> >> representation >> >> >> ydata1 = np.random.random(100) * 1000 >> >> >> ydata2 = np.ones(100) / 2. >> >> >> time = np.arange(3550, 3650) >> >> >> >> >> >> >> >> >> fig = plt.figure() >> >> >> host = SubplotHost(fig, 111) >> >> >> fig.add_subplot(host) >> >> >> >> >> >> # This is the heart of the example. We have to scale the axes >> >> >> correctly. >> >> >> aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> >> >> ydata1.max()) >> >> >> par = host.twin(aux_trans) >> >> >> >> >> >> host.set_xlabel("Time [sfm]") >> >> >> host.set_ylabel("Random Data 1") >> >> >> par.set_ylabel("Random Data 2") >> >> >> par.axis["right"].label.set_visible(True) >> >> >> >> >> >> p1, = host.plot(time, ydata1) >> >> >> p2, = par.plot(time, ydata2) >> >> >> >> >> >> host.axis["left"].label.set_color(p1.get_color()) >> >> >> par.axis["right"].label.set_color(p2.get_color()) >> >> >> >> >> >> host.axis["bottom"].label.set_size(16) >> >> >> host.axis["left"].label.set_size(16) >> >> >> par.axis["right"].label.set_size(16) >> >> >> >> >> >> # Move the title little upwards so it won't overlap with the >> ticklabels >> >> >> title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> >> >> title.set_position((0.5, 1.05)) >> >> >> >> >> >> plt.show() >> >> >> >> >> >> >> >> >> On Sun, Sep 27, 2009 at 12:32 PM, Gökhan Sever < >> gokhansever@...> >> >> >> wrote: >> >> >> > Hello, >> >> >> > >> >> >> > As was suggested by Jae-Joon, I have simplified the code for >> easier >> >> >> > investigation and run. The aim of the script is to have time >> >> >> > represented >> >> >> > on >> >> >> > both bottom and top x-axes, on the bottom in seconds-from-midnight >> >> >> > (SFM), >> >> >> > and the top should show as HH:MM:SS, while there is two different >> >> >> > data >> >> >> > source being used for y-axes. The code could be seen here or from >> >> >> > >> http://code.google.com/p/ccnworks/source/browse/trunk/double_time.py >> >> >> > >> >> >> > Currently something wrong with the scaling, since the right y-axis >> >> >> > data >> >> >> > is >> >> >> > missing on the plotting area. Also, sfm hasn't been converted to >> >> >> > HH:MM:SS. >> >> >> > adding this: >> par.xaxis.set_major_formatter(DateFormatter('%H:%M:%S')) >> >> >> > doesn't remedy the situation as of yet. >> >> >> > >> >> >> > All comments are welcome. >> >> >> > >> >> >> > ### BEGIN CODE ### >> >> >> > #!/usr/bin/env python >> >> >> > >> >> >> > """ >> >> >> > >> >> >> > Double time representation. Bottom x-axis shows time in >> >> >> > seconds-from-midnight >> >> >> > (sfm) fashion, whereas the top x-axis uses HH:MM:SS >> representation. >> >> >> > >> >> >> > Initially written by Gokhan Sever with helps from Jae-Joon Lee. >> >> >> > >> >> >> > Written: 2009-09-27 >> >> >> > >> >> >> > """ >> >> >> > >> >> >> > import numpy as np >> >> >> > import matplotlib.pyplot as plt >> >> >> > import matplotlib.transforms as mtransforms >> >> >> > from mpl_toolkits.axes_grid.parasite_axes import SubplotHost >> >> >> > >> >> >> > >> >> >> > # Prepare some random data and time for seconds-from-midnight >> (sfm) >> >> >> > representation >> >> >> > ydata1 = np.random.random(100) * 1000 >> >> >> > ydata2 = np.ones(100) / 2. >> >> >> > time = np.arange(3550, 3650) >> >> >> > >> >> >> > >> >> >> > fig = plt.figure() >> >> >> > host = SubplotHost(fig, 111) >> >> >> > fig.add_subplot(host) >> >> >> > >> >> >> > # This is the heart of the example. We have to scale the axes >> >> >> > correctly. >> >> >> > aux_trans = mtransforms.Affine2D().translate(0., 0.).scale(3600, >> >> >> > ydata1.max()) >> >> >> > par = host.twin(aux_trans) >> >> >> > >> >> >> > host.set_xlabel("Time [sfm]") >> >> >> > host.set_ylabel("Random Data 1") >> >> >> > par.set_ylabel("Random Data 2") >> >> >> > par.axis["right"].label.set_visible(True) >> >> >> > >> >> >> > p1, = host.plot(time, ydata1) >> >> >> > p2, = par.plot(time, ydata2) >> >> >> > >> >> >> > host.axis["left"].label.set_color(p1.get_color()) >> >> >> > par.axis["right"].label.set_color(p2.get_color()) >> >> >> > >> >> >> > host.axis["bottom"].label.set_size(16) >> >> >> > host.axis["left"].label.set_size(16) >> >> >> > par.axis["right"].label.set_size(16) >> >> >> > >> >> >> > # Move the title little upwards so it won't overlap with the >> >> >> > ticklabels >> >> >> > title = plt.title("Double time: SFM and HH:MM:SS", fontsize=18) >> >> >> > title.set_position((0.5, 1.05)) >> >> >> > >> >> >> > plt.show() >> >> >> > ### END CODE ### >> >> >> > >> >> >> > >> >> >> > -- >> >> >> > Gökhan >> >> >> > >> >> >> > >> >> >> > >> >> >> > >> ------------------------------------------------------------------------------ >> >> >> > Come build with us! The BlackBerry® Developer Conference in >> SF, >> >> >> > CA >> >> >> > is the only developer event you need to attend this year. >> Jumpstart >> >> >> > your >> >> >> > developing skills, take BlackBerry mobile applications to market >> and >> >> >> > stay >> >> >> > ahead of the curve. Join us from November 9-12, 2009. Register >> >> >> > now! >> >> >> > http://p.sf.net/sfu/devconf >> >> >> > _______________________________________________ >> >> >> > Matplotlib-users mailing list >> >> >> > Matplotlib-users@... >> >> >> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >> >> >> > >> >> >> > >> >> > >> >> > >> >> > >> >> > -- >> >> > Gökhan >> >> > >> > >> > >> > >> > -- >> > Gökhan >> > >> > > > > -- > Gökhan > -- Gökhan ```