Add VT2-examples: all 6 chapters of 'Visualize This' (110 files) — data scraping, ETL, trends, categorical, multivariate, spatial, distribution analysis

VT2-examples/vt2-ch5-codedata-dir/make-bar-chart.py

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+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")
+
+