Paris Agreement: Entry Into Force¶
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%matplotlib inline
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import matplotlib.pyplot as plt
plt.style.use("ggplot")
from pandas_datapackage_reader import read_datapackage
from countrygroups import EUROPEAN_UNION
Reading in the Data Package with ratification status of the Paris Agreement.
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parties = read_datapackage("https://github.com/openclimatedata/paris-agreement-entry-into-force")
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parties.head()
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parties.count()
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The European Union is contained both as a block and as single parties so let's look at EU parties only.
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print(EUROPEAN_UNION)
assert(len(EUROPEAN_UNION) == 28)
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parties.loc["EUU"]
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parties.loc[EUROPEAN_UNION]
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For the emissions shares the last available data submitted to the UNFCCC was used.
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parties.Year.hist(bins=25 )
plt.title("Distribution of submission years");
And a look at how emissions are distributed, many countries with small shares.
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parties.Percentage.hist(bins=20)
plt.title("Distribution of emissions shares for Entry Into Force");
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not_ratified = parties[parties["Ratification-Acceptance-Approval"].isnull() != False]
ratified = parties[parties["Ratification-Acceptance-Approval"].isnull() == False]
Sum of emissions of parties that have ratified, subtracting EU as a group to avoid double-counting.
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print(ratified.Percentage.sum() - parties.loc["EUU"].Percentage)
A list of the ten highest emitters who have not yet ratified.
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not_ratified.sort_values("Emissions", ascending=False).head(10)
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