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25 lines
682 B
Python
25 lines
682 B
Python
import pandas as pd
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import numpy as np
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populations = pd.read_csv("data/state-population.csv")
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areas = pd.read_csv("data/state-areas.csv")
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abbrevs = pd.read_csv("data/state-abbrevs.csv")
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merged = pd.merge(
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populations, abbrevs, how="outer", left_on="state/region", right_on="abbreviation"
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)
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merged = merged.drop("abbreviation", 1)
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final = pd.merge(merged, areas, on="state", how="left")
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final.dropna(inplace=True)
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data2010 = final.query("year == 2010 & ages == 'total'")
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# print(data2010.head())
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data2010.set_index("state", inplace=True)
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density = data2010["population"] / data2010["area (sq. mi)"]
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density.sort_values(ascending=False, inplace=True)
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print(density.tail())
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