Create dotplot.py

dotplot.py

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+from matplotlib import pyplot as plt
+import pandas as pd
+
+# Import data and rename relevant column.
+file_path = input()
+df = pd.read_excel(file_path, header=6, usecols=['Import/export'])
+df.rename(columns={'Import/export': 'balance'}, inplace=True)
+
+# Create columns.
+df['hour']=df.index
+df['y']=df['hour'].apply(lambda x: int(x/120))
+df['x']=df['hour'].apply(lambda x: int(x%120))
+
+# Set export to orange and import to grey.
+df['color'] = df['balance'].apply(lambda x: 'orange' if x < 0 else 'grey')
+
+# Plot the data.
+ax = df.plot(kind='scatter', x='x', y='y', c='color')
+
+# Hide irrelevant names on axes.
+ax.axes.get_xaxis().set_visible(False)
+ax.axes.get_yaxis().set_visible(False)
+
+# Show plot.
+plt.show()