Re: [Matplotlib-users] changing tick labels and tick positioning to account for origin From: Matthias Michler - 2009-07-28 14:06:50 ```Hi, as nobody answered up to now I may make my (tiny) contribution. On Friday 24 July 2009 22:58:10 per freem wrote: > Hi all, > > i have a simple scatter plot, where the x axis and y axis are on different > scales starting from 0. the x axis here ranges from 0 to 300 and the y axis > from 0 to 1. i plot it as follows: > > my_fig = plt.figure(figsize=(6,5), dpi=100) > x = rand(100)*300 > y = rand(100) > plt.scatter(x, y) > plt.rcParams['xtick.direction'] = 'out' > plt.rcParams['ytick.direction'] = 'out' > plt.xlim([-0.05, 300.05]) > plt.ylim([-0.05, 1.05]) > plt.show() > > i'd like to leave a bit of space between the origin and the x-axis 0 and > between the origin and y-axis 0, which is why i added 0.05 to the end > points of each axis. however, i'd like the space between 0 and the origin > on either axis to be the same. since 0.05 on a scale from 0 to 300 is not > the same amount of space as 0.05 on a scale from 0 to 1, this is not the > effect i get. the yaxis looks good but the xaxis does not. how can i fix > this? plt.xlim([-0.05*300, 300*1.05]) plt.ylim([-0.05, 1.05]) > second, how can i remove the upper x axis ticks and the right y axis ticks? > these ticks are really not informative to the plot. ideally i would like to > remove those axes altogether, and just have one x axis and one y axis -- > but i don't want to manually plot the axes. is there a way to do this? > > if that is not possible i'd like to at least remove those tick marks from > the duplicate axes. any thoughts on this will be greatly appreciated. Unfortunately I have no idea about this. Maybe someone else has an idea, if it is possible to remove the upper / right ticks. best regards Matthias ```
 [Matplotlib-users] changing tick labels and tick positioning to account for origin From: per freem - 2009-07-24 20:58:22 Attachments: Message as HTML ```Hi all, i have a simple scatter plot, where the x axis and y axis are on different scales starting from 0. the x axis here ranges from 0 to 300 and the y axis from 0 to 1. i plot it as follows: my_fig = plt.figure(figsize=(6,5), dpi=100) x = rand(100)*300 y = rand(100) plt.scatter(x, y) plt.rcParams['xtick.direction'] = 'out' plt.rcParams['ytick.direction'] = 'out' plt.xlim([-0.05, 300.05]) plt.ylim([-0.05, 1.05]) plt.show() i'd like to leave a bit of space between the origin and the x-axis 0 and between the origin and y-axis 0, which is why i added 0.05 to the end points of each axis. however, i'd like the space between 0 and the origin on either axis to be the same. since 0.05 on a scale from 0 to 300 is not the same amount of space as 0.05 on a scale from 0 to 1, this is not the effect i get. the yaxis looks good but the xaxis does not. how can i fix this? second, how can i remove the upper x axis ticks and the right y axis ticks? these ticks are really not informative to the plot. ideally i would like to remove those axes altogether, and just have one x axis and one y axis -- but i don't want to manually plot the axes. is there a way to do this? if that is not possible i'd like to at least remove those tick marks from the duplicate axes. any thoughts on this will be greatly appreciated. thank you ```
 Re: [Matplotlib-users] changing tick labels and tick positioning to account for origin From: Matthias Michler - 2009-07-28 14:06:50 ```Hi, as nobody answered up to now I may make my (tiny) contribution. On Friday 24 July 2009 22:58:10 per freem wrote: > Hi all, > > i have a simple scatter plot, where the x axis and y axis are on different > scales starting from 0. the x axis here ranges from 0 to 300 and the y axis > from 0 to 1. i plot it as follows: > > my_fig = plt.figure(figsize=(6,5), dpi=100) > x = rand(100)*300 > y = rand(100) > plt.scatter(x, y) > plt.rcParams['xtick.direction'] = 'out' > plt.rcParams['ytick.direction'] = 'out' > plt.xlim([-0.05, 300.05]) > plt.ylim([-0.05, 1.05]) > plt.show() > > i'd like to leave a bit of space between the origin and the x-axis 0 and > between the origin and y-axis 0, which is why i added 0.05 to the end > points of each axis. however, i'd like the space between 0 and the origin > on either axis to be the same. since 0.05 on a scale from 0 to 300 is not > the same amount of space as 0.05 on a scale from 0 to 1, this is not the > effect i get. the yaxis looks good but the xaxis does not. how can i fix > this? plt.xlim([-0.05*300, 300*1.05]) plt.ylim([-0.05, 1.05]) > second, how can i remove the upper x axis ticks and the right y axis ticks? > these ticks are really not informative to the plot. ideally i would like to > remove those axes altogether, and just have one x axis and one y axis -- > but i don't want to manually plot the axes. is there a way to do this? > > if that is not possible i'd like to at least remove those tick marks from > the duplicate axes. any thoughts on this will be greatly appreciated. Unfortunately I have no idea about this. Maybe someone else has an idea, if it is possible to remove the upper / right ticks. best regards Matthias ```