The graphic #182 shows and explains how to make a vertical lollipop plot.
In this chart we add a useful feature for storytelling: highlight a group that specifically interests you with a bigger size and another color!
# libraries
import pandas as pd
import matplotlib.pyplot as plt
# Create a dataframe
df = pd.DataFrame({'group':map(chr, range(65, 85)), 'values':np.random.uniform(size=20) })
# Reorder it following the values:
ordered_df = df.sort_values(by='values')
my_range=range(1,len(df.index)+1)
# Create a color if the group is "B"
my_color=np.where(ordered_df ['group']=='B', 'orange', 'skyblue')
my_size=np.where(ordered_df ['group']=='B', 70, 30)
# The vertival plot is made using the hline function
# I load the seaborn library only to benefit the nice looking feature
import seaborn as sns
plt.hlines(y=my_range, xmin=0, xmax=ordered_df['values'], color=my_color, alpha=0.4)
plt.scatter(ordered_df['values'], my_range, color=my_color, s=my_size, alpha=1)
# Add title and exis names
plt.yticks(my_range, ordered_df['group'])
plt.title("What about the B group?", loc='left')
plt.xlabel('Value of the variable')
plt.ylabel('Group')
