How can I change figure size? about ggpy HOT 7 CLOSED

Right now you could do this (all code without testing it ...):

from ggplot import * # sets the rcParam for figsize to a default
import matplotlib as mpl
mpl.rcParams["figure.figsize"] = "11, 8" # or  whatever you want
print( ggplot(...)  +...) 

Be aware that every usage of theme_gray() or theme_bw() will overwrite the mpl.rcparams again, so if you want to use these themes explicitly, you need to do it like this:

from ggplot  import *
theme_bw() # sets the default  to the bw settings
import matplotlib as mpl
mpl.rcParams["figure.figsize"] = "11, 8"
print( ggplot(...)  +...) # don't use any theme here!

Note that this hack is changed in the "Theme as contextmanager" PR #75, so if that's merged you could do this:

from ggplot  import *
mpl.rcParams["figure.figsize"] = "11, 8"
print( ggplot(...)  + theme_matplotlib(rc={"figure.figsize": "11, 8"}, matplotlib_defaults=False)

There is also a ggsave(), but right now this doesn't take a size parameter (I opened #96 for this)

from ggpy.

I tryed the first code example and it works. Thanks

from ggpy.

ggsave should now handle this

from ggpy.

in 0.5.8, theme is lost when you change size... is there a way to keep both theme and size?

Here's example code:

import pandas as pd
import numpy as np
import matplotlib as mpl
%matplotlib inline

from ggplot import *
theme_bw()

mpl.rcParams['figure.figsize'] = "15.0, 10.0"
gsize = theme_matplotlib(rc={"figure.figsize": "15, 10"}, matplotlib_defaults=False)

df = pd.DataFrame(np.random.randn(100,2),columns=['x','y'])
ggplot(df,aes('x','y')) + geom_line() + gsize

from ggpy.

When I print to a file , the size does not change. It remains same as original. Any way to control it?

from ggpy.

I was able to control the size of the figure by setting theme(plot_margin=...):

ggplot(df,aes('x','y')) + geom_line() + theme(plot_margin = dict(right = 15, top=10))

How about implementing an alternative plot_margin as tuple of two (width, height) ?

from ggpy.

Another solution, if you don't want to alter matplotlib's configuration:

from ggplot import *
from matplotlib import pyplot as plt

p = (ggplot(diamonds,
          aes(x='x', y='y', color='cut', fill='cut')) +
     geom_point() +
     facet_wrap(x='cut'))

# This command "renders" the figure and creates the attribute `fig` on the p object
p.make()

# Then you can alter its properties
p.fig.set_size_inches(15, 5, forward=True)
p.fig.set_dpi(100)
p.fig

# And display the final figure
plt.show()

from ggpy.