Add livestock classification for colombia rural.

product/Datlas/Rural/README.md

@@ -0,0 +1,3 @@
+This is basically HS92, with names generously translated by Ryan.
+
+[here](https://docs.google.com/spreadsheets/d/1yLhTZ6cV6aWLJkJmAQGRIEGKFSEeF_dwMtCA3YagOzI/edit#gid=0)

product/Datlas/Rural/Tupfile

@@ -0,0 +1,3 @@
+CLEAN = PYTHONPATH=../../../ python2.7 -B clean_livestock.py
+
+: in/* |> $(CLEAN) |> out/livestock.csv out/livestock.dta

product/Datlas/Rural/clean_livestock.py

@@ -0,0 +1,34 @@
+import pandas as pd
+
+from classification import (Hierarchy, repeated_table_to_parent_id_table,
+                            parent_code_table_to_parent_id_table,
+                            Classification)
+
+if __name__ == "__main__":
+    names = pd.read_table("./in/Livestock - Names.tsv", encoding="utf-8",
+                          dtype={"code": str})
+
+    hierarchy = pd.read_table("./in/Livestock - Hierarchy.tsv", encoding="utf-8")
+    hierarchy.columns = ["level1_code", "level0_code"]
+
+    fields = {
+        "level0": [],
+        "level1": []
+    }
+
+    h = Hierarchy(["level0", "level1"])
+    parent_code_table = repeated_table_to_parent_id_table(hierarchy, h, fields)
+    parent_code_table.code = parent_code_table.code.astype(str)
+
+    parent_code_table = parent_code_table.merge(names, on=["code", "level"])
+
+    parent_id_table = parent_code_table_to_parent_id_table(parent_code_table, h)
+    parent_id_table["name"] = parent_id_table.name_en
+
+    parent_id_table = parent_id_table[["code", "name", "level", "name_en",
+                                       "name_es", "parent_id"]]
+
+    c = Classification(parent_id_table, h)
+
+    c.to_csv("out/livestock.csv")
+    c.to_stata("out/livestock.dta")

product/Datlas/Rural/in/Livestock - Hierarchy.tsv

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+level1	level0
+buffalos	total
+equines	total
+fisheries	total
+fishing	total
+goats	total
+pigs	total
+poultry	total
+sheep	total

product/Datlas/Rural/in/Livestock - Names.tsv

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+code	level	name_en	name_es
+total	level0	Total	Total
+buffalos	level1	Buffaloes	Búfalos
+equines	level1	Equines	Equinos
+fisheries	level1	Fisheries	Fisheries
+fishing	level1	Fishing	Fishing
+goats	level1	Goats	Goats
+pigs	level1	Pigs	Pigs
+poultry	level1	Poultry	Poultry
+sheep	level1	Sheep	Sheep

product/Datlas/Rural/out/livestock.csv

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+"","code","name","level","name_en","name_es","parent_id"
+0,"total","Total","level0","Total","Total",""
+1,"buffalos","Buffaloes","level1","Buffaloes","Búfalos",0.0
+2,"equines","Equines","level1","Equines","Equinos",0.0
+3,"fisheries","Fisheries","level1","Fisheries","Fisheries",0.0
+4,"fishing","Fishing","level1","Fishing","Fishing",0.0
+5,"goats","Goats","level1","Goats","Goats",0.0
+6,"pigs","Pigs","level1","Pigs","Pigs",0.0
+7,"poultry","Poultry","level1","Poultry","Poultry",0.0
+8,"sheep","Sheep","level1","Sheep","Sheep",0.0

setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name="linnaeus",
-    version="v0.0.68",
+    version="v0.0.69",
     author="Mali Akmanalp <Harvard CID>",
     description=("Harvard CID's classification tools."),
     url="http://github.com/cid-harvard/classifications/",
@@ -20,6 +20,7 @@
             'industry/ISIC/Colombia_Prosperia/out/industries_colombia_isic_prosperia.csv',
             'industry/NAICS/Mexico/out/industries_mexico_scian_2007.csv',
             'industry/NAICS/Mexico_datlas/out/industries_mexico_scian_2007_datlas.csv',
+            'product/Datlas/Rural/out/livestock.csv',
             'product/HS/Atlas/out/hs92_atlas.csv',
             'product/HS/Mexico_Prospedia/out/products_mexico_prospedia.csv',
             'product/HS/Colombia_Prospedia/out/products_colombia_prospedia.csv',