5.5 Dot Plot

# dotplot by Patrick FitzGerald
def dotplots(x,x_label="Data Values"):   # function name is dotplots takes a x

 import numpy as np                
 import matplotlib.pyplot as plt    

 data = np.array(x)   # convert to array
 values, counts = np.unique(data, return_counts=True)

# dot plot with appropriate figure size and y-axis limits
 fig, ax = plt.subplots(figsize=(6, 2.25))
 for value, count in zip(values, counts):
    ax.plot([value]*count, list(range(count)), 'co', ms=10, linestyle='')
 for spine in ['top', 'right', 'left']:
    ax.spines[spine].set_visible(False)
 ax.yaxis.set_visible(False)
 ax.set_ylim(-1, max(counts))
 ax.set_xticks(range(min(values), max(values)+1))
 ax.tick_params(axis='x', length=0, pad=8, labelsize=12)

 plt.suptitle("Dot Plot")
 plt.ylabel("frequency")
 plt.xlabel("values(categories)")

 return plt.show()