Trends on emission data – python code

# %load ../standard_import.txt
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import axes3d
import seaborn as sns

from sklearn.preprocessing import scale
import sklearn.linear_model as skl_lm
from sklearn.metrics import mean_squared_error, r2_score
import statsmodels.api as sm
import statsmodels.formula.api as smf

%matplotlib inline'seaborn-white')
df = pd.read_csv('/.../GreenhouseEmissions.csv') # add your location for your file in ...

sns.regplot(df.Year, df.Commercial, order=1, ci=None, scatter_kws={'color':'r', 's':9})
plt.xlim(1990, 2016)


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