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':list(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')