How to set some xlim and ylim in Seaborn lmplot facetgrid

Question

I m using Seaborn s lmplot to plot a linear regression  dividing my dataset into two groups with a categorical variable   For both x and y  I d like to manually set the lower bound on both plots  but leave the upper bound at the Seaborn default  Here s a simple example   import pandas as pd import seaborn as sns import random  n   200 random seed 2014  base x    random random   for i in range n   base y    2 i for i in base x  errors    random uniform 0 1  for i in range n   y    i j for i j in zip base y errors    df   pd DataFrame   X   base x                      Y   y                      Z     A   B    n 2     mask for b   df Z     B  df loc mask for b   X   Y      df loc mask for b    2  sns lmplot  X   Y  df col  Z  sharex False sharey False    This outputs the following    But in this example  I d like the xlim and the ylim to be  0      I tried using sns plt ylim and sns plt xlim but those only affect the right-hand plot   Example   sns plt ylim 0   sns plt xlim 0       How can I access the xlim and ylim for each plot in the FacetGrid

User · Accepted Answer

The lmplot function returns a FacetGrid instance  This object has a method called set  to which you can pass key value pairs and they will be set on each Axes object in the grid   Secondly  you can set only one side of an Axes limit in matplotlib by passing None for the value you want to remain as the default   Putting these together  we have   g   sns lmplot  X    Y   df  col  Z   sharex False  sharey False  g set ylim  0  None

User · Answer

You need to get hold of the axes themselves  Probably the cleanest way is to change your last row   lm   sns lmplot  X   Y  df col  Z  sharex False sharey False    Then you can get hold of the axes objects  an array of axes    axes   lm axes   After that you can tweak the axes properties  axes 0 0  set ylim 0   axes 0 1  set ylim 0     creates

[python] How to set some xlim and ylim in Seaborn lmplot facetgrid

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