I am doing this in plotnine, but hoping ggplotters can assist as well.
Consider the following plot:
df = pd.DataFrame({ 'date' : pd.date_range(start='30/09/2019', periods=11, freq='Q').repeat(6), 'variable' : ['A','B','C','D','E','F']*11, 'value' : np.random.choice(range(50),66) }) p = (ggplot(df, aes(x='variable', y='value', fill='factor(date)')) + theme_light() + geom_bar(stat='identity', position='dodge', color='white', size=0.2) + labs(x=None, y=None) + scale_fill_manual(('#80C3D7','#66B7CE','#4DABC6','#339FBE','#1A93B6','#0087AE','#007A9D','#006C8B','#005F7A','#005168','#004457'), labels= lambda l: [v.strftime('%b-%Y') for v in l]) + guides(fill=guide_legend(nrow=2, order=1)) + theme( legend_title=element_blank(), legend_direction='horizontal', legend_position='bottom', legend_box_spacing=0.25, ) ) p
I would like the dates to be arranged from left to right, not top to bottom. For example, I want the first row to be Sep-2019, Dec-2019, Mar-2020, Jun-2020, Sep-2020 etc.
I have tried different version of order=1
without success.
Thanks
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Answer
As in ggplot2
this could be achieved via the byrow
argument of guide_legend
. Simply set it to True
:
import pandas as pd import numpy as np from plotnine import * df = pd.DataFrame({ 'date' : pd.date_range(start='30/09/2019', periods=11, freq='Q').repeat(6), 'variable' : ['A','B','C','D','E','F']*11, 'value' : np.random.choice(range(50),66) }) p = (ggplot(df, aes(x='variable', y='value', fill='factor(date)')) + theme_light() + geom_bar(stat='identity', position='dodge', color='white', size=0.2) + labs(x=None, y=None) + scale_fill_manual(('#80C3D7','#66B7CE','#4DABC6','#339FBE','#1A93B6','#0087AE','#007A9D','#006C8B','#005F7A','#005168','#004457'), labels= lambda l: [v.strftime('%b-%Y') for v in l]) + guides(fill=guide_legend(nrow=2, order=1, byrow = True)) + theme( legend_title=element_blank(), legend_direction='horizontal', legend_position='bottom' legend_box_spacing=0.25, ) ) p