Added a seaborn line chart example

ch3/scatter_plot.py

@@ -1,16 +1,18 @@
 from matplotlib import pyplot as plt
 
-friends = [70, 65, 72, 63, 71, 64, 60, 64, 67, ]
+friends = [70, 65, 72, 63, 71, 64, 60, 64, 67]
 minutes = [175, 170, 205, 120, 220, 130, 105, 145, 190]
-labels = [l for l in 'abcdefghi']
+labels = [l for l in "abcdefghi"]
 
 plt.scatter(friends, minutes)
 
 for label, friend_count, minute_count in zip(labels, friends, minutes):
-    plt.annotate(label,
-                 xy=(friend_count, minute_count),
-                 xytext=(5, -5),
-                 textcoords='offset points')
+    plt.annotate(
+        label,
+        xy=(friend_count, minute_count),
+        xytext=(5, -5),
+        textcoords="offset points",
+    )
 
 plt.title("Daily Minutes vs. Number of Friends")
 plt.xlabel("X of friends")

ch3/scatter_plot_and_scales.py

@@ -19,4 +19,3 @@ plt.ylabel("Test 2 grade")
 plt.axis([40, 120, 40, 120])
 # plt.axis('equal')
 plt.show()
-

ch3/seaborn_line_plot.py

@@ -0,0 +1,15 @@
+import seaborn as sns
+import pandas as pd
+from matplotlib import pyplot as plt
+
+years = [year for year in range(1950, 2020, 10)]
+gdp = [300.2, 543.3, 1075.9, 2862.5, 5979.6, 10289.7, 14958.3]
+
+data = pd.DataFrame(data=gdp, index=years, columns=["gdp"])
+
+sns.set(style="darkgrid")
+
+sns.lineplot(data=data, markers="o")
+plt.xlabel("Years")
+plt.ylabel("Billions of $")
+plt.show()

requirements.txt

@@ -1,2 +1,3 @@
 matplotlib==3.0.2
 black
+seaborn==0.9.0