temp_increment.png

temp_increment.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Evaluation of ranges for Avverage annual global temperature
in Fahrenheit.

It was motivated by

    https://eagereyes.org/blog/2019/what-is-a-misleading-chart

@author: Nicolas Guarin-Zapata
@date: July 25, 2019
"""
import numpy as np
import matplotlib.pyplot as plt

plt.style.use("seaborn")


#% Data
year = np.arange(1880, 2010, 10)
data = np.array([
       [13.73, 56.71],
       [13.75, 56.74],
       [13.74, 56.73],
       [13.72, 56.7 ],
       [13.83, 56.89],
       [13.96, 57.12],
       [14.04, 57.26],
       [13.98, 57.16],
       [13.99, 57.18],
       [14.  , 57.2 ],
       [14.18, 57.52],
       [14.31, 57.76],
       [14.51, 58.12]])


#%%
plt.close("all")
plt.figure()
plt.suptitle("Average Annual Global Temperature in Fahrenheit\n1880-2000")

# Option 1: Shown in the article
plt.subplot(4, 1, 1)
plt.plot(year, data[:, 1])
plt.ylim(0, 100)
xticks, _ = plt.xticks()
plt.xticks(year, [])

# Option 2: Water as reference
plt.subplot(4, 1, 2)
plt.plot(year, data[:, 1])
plt.ylim(32, 212)
plt.xticks(year, [])

# Option 3: Matplotlib Default
plt.subplot(4, 1, 3)
plt.plot(year, data[:, 1])
plt.xticks(year, [])

# Option 4: Manually tweaked
temp_range = 4 # According to fever changes (?)
average = data[:, 1].mean()
plt.subplot(4, 1, 4)
plt.plot(year, data[:, 1])
plt.ylim(average - temp_range, average + temp_range)
plt.xticks(year, year)