Is it possible to set the minimum and maximum displayed limits for seaborn distplots?
I am trying to loop over columns of a pandas dataframe but all my outputs get the same axes.
for v in var_list:
df[v].dropna(inplace=True)
var=df[v].max()
vstar = v + "_output.png"
splot = sns.distplot(df[v])
# sns.plt.xlim(0, var)
splot.figure.savefig(vstar)
splot.autoscale()
I have made a few attempts with sns.plt.xlim() and autoscale() but neither seems to do the trick. What am I missing?
You should be able to get what you want by just using plt.xlim(0, var)
directly:
In [24]: np.random.seed(0)
In [25]: data = np.random.randn(1000)
In [26]: sns.distplot(data)
Out[26]: <matplotlib.axes._subplots.AxesSubplot at 0xfa291967f0>
In [27]: plt.savefig('plot1.png')
In [39]: plt.clf()
In [40]: sns.distplot(data)
Out[40]: <matplotlib.axes._subplots.AxesSubplot at 0xfa291bcd30>
In [41]: plt.xlim(-10, 10)
Out[41]: (-10, 10)
In [42]: plt.savefig('plot2.png')
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