def query_prop_data(dir_name=None,
ents_dict=None,
locations=None,
depth=0,
timespan=None,
interval=None):
"""
Queries data for the module property for given location(s), depth, timespan and interval.
"""
df, ents_dict = data_utils.query_wd_prop(
dir_name=dir_name,
ents_dict=ents_dict,
locations=locations,
depth=depth,
timespan=timespan,
interval=interval,
pid=pid,
sub_pid=sub_pid,
col_name=col_name,
col_prefix=col_prefix,
ignore_char=ignore_char,
span=span,
)
return df, ents_dict
def query_prop_data(dir_name=None,
ents_dict=None,
locations=None,
depth=0,
timespan=None,
interval=None):
"""
Queries data for the module property for given location(s), depth, timespan and interval.
"""
df, ents_dict = data_utils.query_wd_prop(
dir_name=dir_name,
ents_dict=ents_dict,
locations=locations,
depth=depth,
timespan=timespan,
interval=interval,
pid=pid,
sub_pid=sub_pid,
col_name=col_name,
col_prefix=col_prefix,
ignore_char=ignore_char,
span=span,
)
org_renames = [
("mem_world_trade_organization", "mem_wto"),
("mem_european_union", "mem_eu"),
("mem_organisation_for_economic_cooperation_and_development",
"mem_oecd"),
("mem_united_nations", "mem_un"),
("mem_world_health_organization", "mem_who"),
("mem_international_monetary_fund", "mem_imf"),
]
for o_r in org_renames:
if o_r[0] in df.columns:
df.rename(columns={o_r[0]: o_r[1]}, inplace=True)
df.fillna(value=False, inplace=True)
return df, ents_dict
def query_prop_data(dir_name=None,
ents_dict=None,
locations=None,
depth=0,
timespan=None,
interval=None):
"""
Queries data for the module property for given location(s), depth, timespan and interval.
"""
df, ents_dict = data_utils.query_wd_prop(
dir_name=dir_name,
ents_dict=ents_dict,
locations=locations,
depth=depth,
timespan=timespan,
interval=interval,
pid=pid,
sub_pid=sub_pid,
col_name=col_name,
col_prefix=col_prefix,
ignore_char=ignore_char,
span=span,
)
fixes = [
["Aruba", "Netherlands"], # Territory
["Abkhazia",
"Georgia"], # Recognized by most states as a part of Georgia
["Denmark", "Denmark"], # Fix
["Ghana", "Ghana"], # Fix
["Guinea-Bissau", "Guinea-Bissau"], # Fix
["Guernsey", "United Kingdom"], # Territory
["Jersey", "United Kingdom"], # Territory
["Nauru", "Nauru"], # Fix
[
"Republic of Artsakh",
"Azerbaijan",
], # Recognized by most states as a part of Azerbaijan
["Sri Lanka", "Sri Lanka"], # Fix
["South Ossetia",
"Georgia"], # Recognized by most states as a part of Georgia
["Transnistria",
"Moldova"], # Recognized by most states as a part of Moldova
[
"Turkish Republic of Northern Cyprus",
"Cyprus",
], # Recognized by most states as a part of Cyprus
["Western Sahara", "Morocco"],
] # 80% is controlled by Morocco
for f in fixes:
if f[0] in list(df[lctn_utils.depth_to_col_name(depth)]):
df.loc[df.loc[df[lctn_utils.depth_to_col_name(depth)] ==
f[0]].index, col_name] = f[1]
df[col_name] = df[col_name].replace("Kingdom of the Netherlands",
"Netherlands")
df[col_name] = df[col_name].replace("Kingdom of Denmark", "Denmark")
df[col_name] = df[col_name].replace("Danish Realm", "Denmark")
return df, ents_dict
