You could also use countplot
from seaborn
. This package builds on pandas
to create a high level plotting interface. It gives you good styling and correct axis labels for free.
import pandas as pd
import seaborn as sns
sns.set()
df = pd.DataFrame({'colour': ['red', 'blue', 'green', 'red', 'red', 'yellow', 'blue'],
'direction': ['up', 'up', 'down', 'left', 'right', 'down', 'down']})
sns.countplot(df['colour'], color='gray')
It also supports coloring the bars in the right color with a little trick
sns.countplot(df['colour'],
palette={color: color for color in df['colour'].unique()})