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Published co2plot.py to co2plot.html will create the report

co2plot.py

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+#' #Testing out pweave on android with Termux
+
+import matplotlib
+matplotlib.use('agg')
+from tabulate import tabulate
+from co2data import df
+
+#' ## raw data
+#' *from data.world*
+# This example will plot the co2 emissions trend for the top 5 countries in 2011
+
+
+print(tabulate(df.iloc[0:10, 0:5], headers=df.columns, tablefmt='simple'))
+
+#' ## Transform Data for plotting
+#' 
+plot_df = (df
+    .set_index('CO2 emission total')
+    .sort_values('2011', ascending=False)
+    .head(5)
+    .T
+    .dropna(how='all')
+    )
+
+print(tabulate(plot_df.iloc[0:10, 0:5], headers=plot_df.columns, tablefmt='simple'))
+
+#' Plot the data
+title = 'Top 5 countries CO2 emissions trend\n(based on 2011 emissions data)'
+ax = plot_df.plot(title=title)
+ax.figure.savefig('tmp.png')
+
+