Using a ggplot figure as standard Matplotlib device

[lucazav]

I'm trying to inject the plot returned by the draw() method into the default Matplotlib device displayed using plt.show(). I need to do this because Power BI only uses the default device to display plots in Python. The code I'm using is as follows:

import matplotlib.pyplot as plt
import pandas as pd

from plotnine import (
    options, theme_tufte, ggplot, aes, geom_bar,
    geom_text, after_stat, labs
)

dataset_url = 'http://bit.ly/titanic-dataset-csv'
df = pd.read_csv(dataset_url)

p = (
        ggplot(df) 
        + aes(x='Pclass', fill="factor(Pclass)") 
        + geom_bar()
        + geom_text(
            aes(label = after_stat('count')),
            stat = 'count',
            nudge_x = -0.14,
            nudge_y = 0.125,
            va = 'bottom',
            size = 8
        )
        + geom_text(
            aes(label = after_stat('prop*100'), group=1),
            stat = 'count',
            nudge_x = 0.14,
            nudge_y = 0.125,
            va = 'bottom',
            format_string = '({:.1f}%)',
            size = 8
        )
        + labs(title='Passenger Count by Class',
               x='Class', y='Count', fill='Class')
        + theme_tufte()
)

mng = plt.get_current_fig_manager()
mng.figure = p.draw()

plt.show()

Unfortunately I get an empty plot:

Am I doing something wrong?

[lucazav]

I found that a simple print(p) works fine. So the complete working code is as follows:

import matplotlib.pyplot as plt
import pandas as pd

from plotnine import (
    options, theme_tufte, ggplot, aes, geom_bar,
    geom_text, after_stat, labs
)

dataset_url = 'http://bit.ly/titanic-dataset-csv'
df = pd.read_csv(dataset_url)

p = (
        ggplot(df) 
        + aes(x='Pclass', fill="factor(Pclass)") 
        + geom_bar()
        + geom_text(
            aes(label = after_stat('count')),
            stat = 'count',
            nudge_x = -0.14,
            nudge_y = 0.125,
            va = 'bottom',
            size = 8
        )
        + geom_text(
            aes(label = after_stat('prop*100'), group=1),
            stat = 'count',
            nudge_x = 0.14,
            nudge_y = 0.125,
            va = 'bottom',
            format_string = '({:.1f}%)',
            size = 8
        )
        + labs(title='Passenger Count by Class',
               x='Class', y='Count', fill='Class')
        + theme_tufte()
)

print(p)