How to change figuresize using seaborn factorplot

2019-01-08 11:31发布

%pylab inline

import pandas as pd
import numpy as np
import matplotlib as mpl
import seaborn as sns

typessns = pd.DataFrame.from_csv('C:/data/testesns.csv', index_col=False, sep=';')

mpl.rc("figure", figsize=(45, 10))
sns.factorplot("MONTH", "VALUE", hue="REGION", data=typessns, kind="box", palette="OrRd");

enter image description here

I always get a small size figure, no matter what size I 've specified in figsize... How to fix it?

5条回答
Fickle 薄情
2楼-- · 2019-01-08 11:52

mpl.rc is stored in a global dictionary (see http://matplotlib.org/users/customizing.html). So, if you only want to change the size of one figure (locally), it will do the trick:

plt.figure(figsize=(45,10))
sns.factorplot(...)

It worked for me using matplotlib-1.4.3 and seaborn-0.5.1

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我欲成王,谁敢阻挡
3楼-- · 2019-01-08 11:53
  1. Do not use %pylab inline, it is deprecated, use %matplotlib inline
  2. The question is not specific to IPython.
  3. use seaborn .set_style function, pass it your rc as second parameter or kwarg.: http://web.stanford.edu/~mwaskom/software/seaborn/generated/seaborn.set_style.html
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在下西门庆
4楼-- · 2019-01-08 12:08

If you just want to scale the figure use the below code:

import matplotlib.pyplot as plt
plt.figure(figsize=(8, 6))
sns.factorplot("MONTH", "VALUE", hue="REGION", data=typessns, kind="box", palette="OrRd"); // OR any plot code
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成全新的幸福
5楼-- · 2019-01-08 12:17

The size of the figure is controlled by the size and aspect arguments to factorplot. They correspond to the size of each facet ("size" really means "height" and then size * aspect gives the width), so if you are aiming for a particularl size for the whole figure you'll need to work backwards from there.

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别忘想泡老子
6楼-- · 2019-01-08 12:18

To be a little more concrete:

%matplotlib inline

import seaborn as sns

exercise = sns.load_dataset("exercise")

# Defaults are size=5, aspect=1
sns.factorplot("kind", "pulse", "diet", exercise, kind="point", size=2, aspect=1)
sns.factorplot("kind", "pulse", "diet", exercise, kind="point", size=4, aspect=1)
sns.factorplot("kind", "pulse", "diet", exercise, kind="point", size=4, aspect=2)

You want to pass in the arguments 'size' or 'aspect' to the sns.factorplot() when constructing your plot.

Size will change the height, while maintaining the aspect ratio (so it will also also get wider if only size is changed.)

Aspect will change the width while keeping the height constant.

The above code should be able to be run locally in an ipython notebook.

Plot sizes are reduced in these examples to show the effects, and because the plots from the above code were fairly large when saved as png's. This also shows that size/aspect includes the legend in the margin.

size=2, aspect=1

size=2, aspect=1

size=4, aspect=1

size=4, aspect=1

size=4, aspect=2

size=4, aspect=2

Also, all other useful parameters/arguments and defaults for this plotting function can be viewed with once the 'sns' module is loaded:

help(sns.factorplot)
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