[Matplotlib-users] Plot : Too many ticks on X axe
Hello, The first loaded plot have too many ticks on X axe (see image01). http://matplotlib.1069221.n5.nabble.com/file/n45893/help-01.jpg If I use the zoom action on X axe, the plot is now well loaded. http://matplotlib.1069221.n5.nabble.com/file/n45893/help-02.jpg Can you give me some advise where I can search because The Plot constructor parameters seems good. Thank you for your help. Manuel -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plot : Too many ticks on X axe
code date_range = (735599.0, 735745.0) x = (735610.5, 735647.0, 735647.5, 735648.5, 735669.0, 735699.0, 735701.5, 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0) y = (227891.25361545716, 205090.4880046467, 208352.59317388065, 175462.99296699322, 98209.836461969651, 275063.37219361769, 219456.93600708069, 230731.12613806152, 209043.19805037521, 218297.51486296533, 208036.88967207001, 206311.71988471842, 216036.56824433553) y0 = 218206.79192 x_after = (735610.5, 735647.0, 735647.5, 735701.5, 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0) y_after = (227891.25361545716, 205090.4880046467, 208352.59317388065, 219456.93600708069, 230731.12613806152, 209043.19805037521, 218297.51486296533, 208036.88967207001, 206311.71988471842, 216036.56824433553) ax.plot_date(x, numpy.array(y) / y0, color='r', xdate=True, marker='x') linex = -39.1175584541 liney = 28993493.5251 ax.set_xlim(date_range) steps = list(ax.get_xlim()) steps.append(steps[-1] + 2) steps = [steps[0] - 2] + steps ax.plot(steps, numpy.array([linex * a + liney for a in steps]) / y0, color='b') /code -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893p45894.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plot : Too many ticks on X axe
Your code example is incomplete. Even if I add in the typical imports and fig, ax = plt.subplots() and plt.show(), The x tick labels aren't rotated, and I certainly don't have too many tick labels. Could you provide a complete working example that demonstrate the problem? Ben Root On Wed, Jul 8, 2015 at 9:15 AM, manik971 nechmacle...@hotmail.fr wrote: code date_range = (735599.0, 735745.0) x = (735610.5, 735647.0, 735647.5, 735648.5, 735669.0, 735699.0, 735701.5, 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0) y = (227891.25361545716, 205090.4880046467, 208352.59317388065, 175462.99296699322, 98209.836461969651, 275063.37219361769, 219456.93600708069, 230731.12613806152, 209043.19805037521, 218297.51486296533, 208036.88967207001, 206311.71988471842, 216036.56824433553) y0 = 218206.79192 x_after = (735610.5, 735647.0, 735647.5, 735701.5, 735702.5, 735709.5, 735725.5, 735728.5, 735735.5, 735736.0) y_after = (227891.25361545716, 205090.4880046467, 208352.59317388065, 219456.93600708069, 230731.12613806152, 209043.19805037521, 218297.51486296533, 208036.88967207001, 206311.71988471842, 216036.56824433553) ax.plot_date(x, numpy.array(y) / y0, color='r', xdate=True, marker='x') linex = -39.1175584541 liney = 28993493.5251 ax.set_xlim(date_range) steps = list(ax.get_xlim()) steps.append(steps[-1] + 2) steps = [steps[0] - 2] + steps ax.plot(steps, numpy.array([linex * a + liney for a in steps]) / y0, color='b') /code -- View this message in context: http://matplotlib.1069221.n5.nabble.com/Plot-Too-many-ticks-on-X-axe-tp45893p45894.html Sent from the matplotlib - users mailing list archive at Nabble.com. -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] How to visualize a, b results of x, y variables
In the x,y plane, could you overlay contours of a with contours of b? -Sterling On Jul 8, 2015, at 8:19PM, Jonno jonnojohn...@gmail.com wrote: I have a bunch of experimental data points each of which has 2 variables (x,y) and 2 results (a,b). Each pair or x,y values produces a pair of a,b resultant values. There is a single optimal pair of a,b values and I'd like to figure out a way to illustrate the data to show the relationship between each x,y pair and how close each a,b pair is to the ideal. I'm thinking about a dual surface/contour plot with 2 different z-axes. Ideally I would center both z-axes at the ideal values. I don't know if this is possible. Might be kinda messy. Any other thoughts? I'm sure there must be other examples where this is a problem. -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
