matplotlib get ylim values

Question

I m using matplotlib to plot data  using plot and errorbar functions  from Python   I have to plot a set of totally separate and independent plots  and then adjust their ylim values so they can be easily visually compared   How can I retrieve the ylim values from each plot  so that I can take the min and max of the lower and upper ylim values  respectively  and adjust the plots so they can be visually compared   Of course  I could just analyze the data and come up with my own custom ylim values    but I d like to use matplotlib to do that for me   Any suggestions on how to easily  and efficiently  do this   Here s my Python function that plots using matplotlib   import matplotlib pyplot as plt  def myplotfunction title  values  errors  plot file name          plot errorbars     indices   range 0  len values       fig   plt figure       plt errorbar tuple indices   tuple values   tuple errors   marker             axes     axes   plt gca       axes set xlim  -0 5  len values  - 0 5       axes set xlabel  My x-axis title       axes set ylabel  My y-axis title          title     plt title title         save as file     plt savefig plot file name         close figure     plt close fig

User · Accepted Answer

Just use axes get ylim    it is very similar to set ylim  From the docs   get ylim   Get the y-axis range  bottom  top

User · Answer

Leveraging from the good answers above and assuming you were only using plt as in   import matplotlib pyplot as plt   then you can get all four plot limits using plt axis   as in the following example   import matplotlib pyplot as plt  x    1  2  3  4  5  6  7  8     fake data y    1  2  3  4  3  2  5  6   plt plot x  y   k    xmin  xmax  ymin  ymax   plt axis    s    xmin       str round xmin  2                   xmax       str xmax      n           ymin       str ymin                  ymax       str ymax         plt annotate s   1  5    plt show     The above code should produce the following output plot

User · Answer

It s an old question  but I don t see mentioned that  depending on the details  the sharey option may be able to do all of this for you  instead of digging up axis limits  margins  etc   There s a demo in the docs that shows how to use sharex  but the same can be done with y-axes

User · Answer

I put above-mentioned methods together using ax instead of plt import numpy as np import matplotlib pyplot as plt  x   range 100  y   x  fig  ax   plt subplots 1  1  figsize  7 2  7 2   ax plot x  y      method 1 print ax get xlim    print ax get xlim      method 2 print ax axis

User · Answer

ymin  ymax   axes get ylim    If you are using the plt api directly  you can avoid calls to axes altogether  def myplotfunction title  values  errors  plot file name          plot errorbars     indices   range 0  len values       fig   plt figure       plt errorbar tuple indices   tuple values   tuple errors   marker           plt ylim  -0 5  len values  - 0 5       plt xlabel  My x-axis title       plt ylabel  My y-axis title          title     plt title title         save as file     plt savefig plot file name        close figure     plt close fig

[python] matplotlib get ylim values

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