On 14-Feb-2015 02:29, Tommy Carstensen wrote:
Is it possible to combine MultipleLocator and MaxNLocator? One seems
to erase the effect of the other.
--
Dive into the World of Parallel Programming. The Go Parallel
Thanks for you answer Eric. I had to get some sleep before trying out
things. I currently have the code below, but it does not remove the
zero value tick. It removes the tick at 5 and 10 however.
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
fig = plt.figure()
ax1
Hi Ryan,
Thanks for your answer. Sorry for not replying sooner. I fell asleep
shortly after sending my question.
What is the OO way?
Your 1st solution gives:
AttributeError: 'module' object has no attribute 'ticks'
I modified your 2nd solution to accommodate my wishes and needs:
import
Whoa, thanks for a great answer Ryan. I can see, why the level of
control MPL gives you is a great sales pitch. It's one of the reasons,
why I switched from gnuplot after using it for many years and making
many cool plots. The MPL learning curve has just been a bit steep,
when you are used to plot
Tommy, (Sorry for the doubleup. I just realized I forgot to hit reply-all.)
Do you want to remove the tick at 0 and only have 5,10, etc.? Could you
just do something like this instead:
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
fig = plt.figure()
ax1 =
On 2015/02/14 7:33 AM, Tommy Carstensen wrote:
Thanks again Ryan. That's exactly what I want to achieve; i.e. remove
the tick at 0 and only keep 5 and 10. Your solution works, but it's a
bit of hack to use magic constants. I could however get those values
from the xlim.
Eric, I would
Tommy,
I'm sorry. I forgot to hit send all *again*. Below is my original message,
but the function I wrote is updated because it wasn't exactly correct
Ah. I was working on something to help out, so I'm just seeing Eric's very
elegant solution, which I have yet to try. However, I feel like
On 2015/02/14 5:47 AM, Tommy Carstensen wrote:
Thanks for you answer Eric. I had to get some sleep before trying out
things. I currently have the code below, but it does not remove the
zero value tick. It removes the tick at 5 and 10 however.
What is the effect you are trying to achieve? How
Erik, that doesn't seem to work either. I tried this:
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
class TrimmedMultipleLocator(MultipleLocator):
def tick_values(self, vmin, vmax):
return MultipleLocator.tick_values(self, vmin, vmax)[2:]
fig =
Eric, it works if I do:
return MultipleLocator.tick_values(self, vmin, vmax)[2:]
But not if I do as first suggested by you:
return MultipleLocator.tick_values(self, vmin, vmax)[1:]
I don't understand this behaviour. It should be [1:]. I'll just set
the ticks manually. Seems to
Tommy,
I'll try to answer your points in order:
1) Oops. That should have been xticks.
import matplotlib.pyplot as plt
plt.plot([1,3,2])
ticks, labels = plt.xticks()
plt.xticks(ticks, horizontalalignment='left')
plt.show()
2) Sorry for the ambiguity. OO is short for object-oriented. There are
On 2015/02/14 8:45 AM, Tommy Carstensen wrote:
Erik, that doesn't seem to work either. I tried this:
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
class TrimmedMultipleLocator(MultipleLocator):
def tick_values(self, vmin, vmax):
return
Ryan, my use case is indeed that I want to avoid overlapping ticks and
I want to avoid them by not displaying them. Here is a guy with the
same problem:
http://stackoverflow.com/questions/9422587/overlapping-y-axis-tick-label-and-x-axis-tick-label-in-matplotlib
Here is the problem at the top left
Thanks again Ryan. That's exactly what I want to achieve; i.e. remove
the tick at 0 and only keep 5 and 10. Your solution works, but it's a
bit of hack to use magic constants. I could however get those values
from the xlim.
Eric, I would describe the desired tick placement algorithm as
removing
On 2015/02/14 9:15 AM, Tommy Carstensen wrote:
Eric, it works if I do:
return MultipleLocator.tick_values(self, vmin, vmax)[2:]
But not if I do as first suggested by you:
return MultipleLocator.tick_values(self, vmin, vmax)[1:]
Are you using my test script but getting a
Ryan, I stopped using gnuplot, because it requires the data to be
formatted in very specific ways :) I remember having functions just to
format the input data correctly for heat plots and the wrapper scripts
I wrote were quite convoluted. Matplotlib has its advantages for sure.
Otherwise I would
Ryan, do you know, if there is any way I can make the padding
dependent on the tick label sizes?
for label in ax2.yaxis.get_ticklabels():
label.set_horizontalalignment('right')
ax2.tick_params(pad=20)
When the numbers are large, then they are glued to the secondary
y-axis. When they are
Yep. I see your problem. My function and Eric's object should help here.
A sore-spot with many folks coming over to Matplotlib from X is the fact
that MPL does not calculate the size of text until the plot is generated.
That means it doesn't always get text positioning, etc. exactly correct.
That
Again I did this padding manually by introducing yet another magic
constant. Thank you to you and Erik for your help. After using a lot
of hacks and magic constants here are the final plots:
http://www.tommycarstensen.com/matplotlib1.png
http://www.tommycarstensen.com/matplotlib2.png
Notice 1)
Thanks Eric. I decided to get peace of mind and just set the tick
labels manually. I can't afford to spend several hours on all of my
plots. I appreciate your help a lot.
On Sat, Feb 14, 2015 at 7:37 PM, Eric Firing efir...@hawaii.edu wrote:
On 2015/02/14 9:15 AM, Tommy Carstensen wrote:
Eric,
Tommy,
It would be helpful if you included a more complete example that
illustrates the problem. If you are setting the text size yourself,
couldn't you adjust the padding as such pad=20/txt_size. Then the padding
will be inversely proportional to the size of the text.
I suspect this is related
21 matches
Mail list logo
