def get_next_row_dict(filename):
with open(filename, "r") as f:
reader = csv.reader(f)
count = 0
colnames = list()
for file_row in reader:
if count == 0:
colnames = file_row
else:
values = list(
Handler.string_to_type(elem.strip()) for elem in file_row)
if len(values) == len(colnames):
row_dict = dict(zip(colnames, values))
yield row_dict
count += 1
csvfile = "D:/Shared/Dropbox/projects/NAU/landsat_diva/data2/gee_mack_data_extract_30_v2019_07_09T20_11_02_3_2000.csv"
outfile = "D:/Shared/Dropbox/projects/NAU/landsat_diva/data2/gee_mack_data_extract_30_v2019_07_09T20_11_02_3_2000.shp"
samp_data = Handler(csvfile).read_from_csv(return_dicts=True)
headers = list(samp_data[0])
spref_str = '+proj=longlat +datum=WGS84'
wkt_list = list()
attr_list = list()
attribute_types = dict()
for header in headers:
attribute_types[header] = Handler.string_to_type(samp_data[0][header],
return_type=True)
# attribute_types['DecidFracR'] = 'str'
# attribute_types['TreeCovR'] = 'str'
for k, v in attribute_types.items():
print('{} - {}'.format(str(k), str(v)))
for elem in samp_data:
wkt_list.append(
Vector.wkt_from_coords((elem['longitude'], elem['latitude']),
geom_type='point'))
attr_list.append(elem)
vector = Vector.vector_from_string(wkt_list,
