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UP my solution #182

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46 changes: 37 additions & 9 deletions pandas_questions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,10 +14,10 @@


def load_data():
"""Load data from the CSV files referundum/regions/departments."""
referendum = pd.DataFrame({})
regions = pd.DataFrame({})
departments = pd.DataFrame({})
"""Load data from the CSV files referendum/regions/departments."""
referendum = pd.read_csv("./data/referendum.csv", sep=';')
regions = pd.read_csv("./data/regions.csv")
departments = pd.read_csv("./data/departments.csv")

return referendum, regions, departments

Expand All @@ -28,8 +28,14 @@ def merge_regions_and_departments(regions, departments):
The columns in the final DataFrame should be:
['code_reg', 'name_reg', 'code_dep', 'name_dep']
"""

return pd.DataFrame({})
merged = pd.merge(regions, departments,
left_on='code', right_on='region_code')
merged.columns = ['id_x', 'code_reg',
'name_reg', 'slug_x',
'id_y', 'region_code',
'code_dep', 'name_dep',
'slug_y']
return merged[['code_reg', 'name_reg', 'code_dep', 'name_dep']]


def merge_referendum_and_areas(referendum, regions_and_departments):
Expand All @@ -39,7 +45,14 @@ def merge_referendum_and_areas(referendum, regions_and_departments):
french living abroad.
"""

return pd.DataFrame({})
r_and_d = regions_and_departments
dc = "Department code"
referendum[dc] = referendum[dc].astype(str).str.zfill(2)
r_and_d["code_dep"] = r_and_d["code_dep"].astype(str).str.zfill(2)
referendum_and_areas = referendum.merge(r_and_d,
left_on="Department code",
right_on="code_dep")
return referendum_and_areas


def compute_referendum_result_by_regions(referendum_and_areas):
Expand All @@ -49,7 +62,12 @@ def compute_referendum_result_by_regions(referendum_and_areas):
['name_reg', 'Registered', 'Abstentions', 'Null', 'Choice A', 'Choice B']
"""

return pd.DataFrame({})
grouped = referendum_and_areas.groupby(["code_reg", "name_reg"]).sum()
grouped = grouped.reset_index()
grouped = grouped.set_index("code_reg")[[
"name_reg", "Registered", "Abstentions",
"Null", "Choice A", "Choice B"]]
return grouped


def plot_referendum_map(referendum_result_by_regions):
Expand All @@ -62,7 +80,17 @@ def plot_referendum_map(referendum_result_by_regions):
* Return a gpd.GeoDataFrame with a column 'ratio' containing the results.
"""

return gpd.GeoDataFrame({})
geodatas = gpd.read_file("./data/regions.geojson")
merged = pd.merge(geodatas,
referendum_result_by_regions,
left_on="code",
right_on="code_reg")
all_expressed = merged["Choice A"] + merged["Choice B"]
merged['ratio'] = merged['Choice A'] / all_expressed
merged = gpd.GeoDataFrame(merged)
merged.plot(column="ratio")
plt.show()
return merged


if __name__ == "__main__":
Expand Down