def run_stats(geo_years, id_types, base_query):
response_dict = {}
for geo_year in geo_years:
print "\n\n****\n", geo_year
for id_type in id_types:
response_dict[(id_type, geo_year)] = get_from_query_gds_in_pmc_fulltext_dict(id_type, base_query, geo_year)
pkl_file = open("scienceplot_new/results/" + id_type + "_dict" + geo_year + "b.pkl", "wb")
pickle.dump(response_dict[(id_type, geo_year)], pkl_file)
pkl_file.close()
fh = open("scienceplot_new/results/" + id_type + geo_year + "b.csv", "w")
header = ",".join(fields)
fh.write(header + "\n")
dataset.csv_write_to_file(fh, response_dict[(id_type, geo_year)].values())
fh.close()
return(response_dict)
def test_csv_file(self):
import StringIO
string_buffer = StringIO.StringIO()
input = test_data_csv_format
response = dataset.csv_write_to_file(string_buffer, input)
response = string_buffer.getvalue()
string_buffer.close()
assert_equals(response, test_data_csv_string)
def test_csv_file(self):
import StringIO
string_buffer = StringIO.StringIO()
input = test_data_csv_format
response = dataset.csv_write_to_file(string_buffer, input)
response = string_buffer.getvalue()
string_buffer.close()
assert_equals(response, test_data_csv_string)
def run_stats(geo_years, id_types, base_query):
response_dict = {}
for geo_year in geo_years:
print "\n\n****\n", geo_year
for id_type in id_types:
response_dict[(
id_type, geo_year)] = get_from_query_gds_in_pmc_fulltext_dict(
id_type, base_query, geo_year)
pkl_file = open(
"scienceplot_new/results/" + id_type + "_dict" + geo_year +
"b.pkl", "wb")
pickle.dump(response_dict[(id_type, geo_year)], pkl_file)
pkl_file.close()
fh = open(
"scienceplot_new/results/" + id_type + geo_year + "b.csv", "w")
header = ",".join(fields)
fh.write(header + "\n")
dataset.csv_write_to_file(
fh, response_dict[(id_type, geo_year)].values())
fh.close()
return (response_dict)
