import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd

# Load data
marjobs = pd.read_csv("data/physician-marry.tsv", delimiter="\t")

# Sort by most common
marsorted = marjobs.sort_values(by=['p'], ascending=False)

# Set figure size and margin
sns.set(rc={'figure.figsize':(8,8), 'pdf.fonttype': 42 })
subs, axes = plt.subplots(1, 1)
plt.subplots_adjust(left=.5)

p1 = sns.barplot(data=marsorted[0:30], 
    x="p", y="occname", orient="h")
fig = p1.get_figure()

# Save as PDF
fig.savefig("bar-mar.pdf")