ggplot styles in Python
If you need to see available styles :
import matplotlib.pyplot as plt
print(plt.style.available)
This will print available styles.
And use this link to select the style you prefer
https://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html
Update: If you have matplotlib >= 1.4, there is a new style
module which has a ggplot
style by default. To activate this, use:
from matplotlib import pyplot as plt
plt.style.use('ggplot')
To see all the available styles, you can check plt.style.available
.
Similarly, for seaborn styling you can do:
plt.style.use('seaborn-white')
or, you can use seaborn
's own machinery to set up the styling:
import seaborn as sns
sns.set()
The set()
function has more options to select a specific style (see docs
). Note that seaborn
previously did the above automatically on import, but with the latest versions (>= 0.8) this is no longer the case.
If you actually want a ggplot-like syntax in Python as well (and not only the styling), take a look at the plotnine
package, which is a grammar of graphics implementation in Python with a syntax very similar to R's ggplot2.
Note: the old answer mentioned to do pd.options.display.mpl_style = 'default'
. This was however deprecated in pandas in favor of matplotlib's styling using plt.style(..)
, and in the meantime this functionality is even removed from pandas.
For the themes in python-ggplot, you can use them with other plots:
from ggplot import theme_gray
theme = theme_gray()
with mpl.rc_context():
mpl.rcParams.update(theme.get_rcParams())
# plotting commands here
for ax in plt.gcf().axes:
theme.post_plot_callback(ax)