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137 def save_list_to_csv(list, filename): 138 f = open(filename, 'w') 139 writer = csv.writer(f, lineterminator='\n') 140 writer.writerows(list) 141 f.close()
305 def to_csv(self, f): 306 is_path = False 307 if isinstance(f, str): 308 is_path = True 309 f = open(f, mode='w') 310 writer = csv.DictWriter(f, self.columns) 311 writer.writerows(self._data) 312 if is_path: 313 f.close()
75 def writecsv(filename, rows, separator="\t", encoding="utf-8-sig"): 76 """Write the rows to the file. 77 78 :param filename: (str) 79 :param rows: (list) 80 :param separator: (str): 81 :param encoding: (str): 82 83 """ 84 with codecs.open(filename, "w+", encoding) as f: 85 for row in rows: 86 tmp = [] 87 for s in row: 88 if isinstance(s, (float, int)): 89 s = str(s) 90 else: 91 s = '"%s"' % s 92 tmp.append(s) 93 f.write('%s\n' % separator.join(tmp))
67 def write_csv(writer, data): 68 writer.writerow(data)
90 def write_rows_to_csv(row_list, filename): 91 """ 92 Write a list of namedtuple objects to a (unicode) CSV file. 93 94 Args: 95 row_list A list of namedtuple objects 96 Returns: 97 Raises: 98 """ 99 with open(filename,'w') as out_file: 100 csv_file = UnicodeWriter(out_file, quoting=csv.QUOTE_ALL) 101 write_header = True 102 for row in row_list: 103 if write_header: 104 write_header = False 105 csv_file.writerow(list(row._fields)) 106 csv_file.writerow([x for x in row._asdict().itervalues()])
20 def ToCsv(self,name='FileName.csv', DataToWrite=[ 21 ["First", "Second", "Third"], ]): 22 #Write DataResult to CSV file 23 with open(name, 'w', newline='') as fp: 24 a = csv.writer(fp, delimiter=',') 25 a.writerows(DataToWrite)
51 def write(self, propnames, separator=','): 52 res = '' 53 nbprop = len(propnames) 54 for i, prop in enumerate(propnames): 55 if hasattr(self, prop): 56 v = self.__dict__[prop] 57 if type(v) == str: 58 res += '"'+v+'"' 59 else: 60 res += str(v) 61 if i < nbprop-1: 62 res += separator 63 return res
66 def write_row_per_record(csv_writer, collection): 67 for record in collection: 68 csv_writer.writerow(get_values_dict(record, object_dict.values()))