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support geo codes like 'US-<state>-<geo-code>' #386

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support geo codes like 'US-<state>-<geo-code>' #386

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support geo codes like 'US-<state>-<geo-code>'
orpgol Apr 25, 2020
72d411d
Merge branch 'master' into master
orpgol Aug 6, 2020
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18 changes: 13 additions & 5 deletions pytrends/request.py
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Original file line number Diff line number Diff line change
Expand Up @@ -280,14 +280,22 @@ def interest_by_region(self, resolution='COUNTRY', inc_low_vol=False,
df = pd.DataFrame(req_json['default']['geoMapData'])
if (df.empty):
return df

# rename the column with the search keyword
df = df[['geoName', 'geoCode', 'value']].set_index(
['geoName']).sort_index()
# split list columns into separate ones, remove brackets and split on comma
# only if the json has 'geoCode'
has_geo = False
if 'geoCode' in df.columns:
df = df[['geoName', 'geoCode', 'value']].set_index(['geoName']).sort_index()
has_geo = True
# if not, do not use it
else:
df = df[['geoName', 'value']].set_index(['geoName']).sort_index()
# split list columns into seperate ones, remove brackets and split on comma

result_df = df['value'].apply(lambda x: pd.Series(
str(x).replace('[', '').replace(']', '').split(',')))
if inc_geo_code:
# if 'geoCode' exists, add it here
if inc_geo_code and has_geo:
result_df['geoCode'] = df['geoCode']

# rename each column with its search term
Expand Down