2e731f31de
Processing chunk 2 named None from line 10 Processing chunk 3 named None from line 17 Processing chunk 4 named None from line 28 Published co2plot.py to co2plot.html will create the report
32 lines
760 B
Python
32 lines
760 B
Python
#' #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')
|
|
|
|
|