# coding=utf8
# the above tag defines encoding for this document and is for Python 2.x compatibility
import re
regex = r"{\"pm10\":\s+(\d+(\.\d+)?)[^}]*}]"
test_str = "[{\"pm10\": 10.1, \"pm25\": 4.7, \"time\": \"15.11.2019 13:01:49\"}, {\"pm25\": 4.5, \"pm10\": 11.2, \"time\": \"15.11.2019 13:07:21\"}, {\"pm10\": 10.1, \"pm25\": 4.5, \"time\": \"15.11.2019 13:12:54\"}, {\"pm25\": 4.3, \"pm10\": 8.7, \"time\": \"15.11.2019 13:18:26\"}, {\"pm10\": 12.3, \"pm25\": 5.0, \"time\": \"15.11.2019 13:23:58\"}, {\"pm25\": 4.8, \"pm10\": 9.9, \"time\": \"15.11.2019 13:29:31\"}, {\"pm10\": 9.7, \"pm25\": 4.4, \"time\": \"15.11.2019 13:35:03\"}, {\"pm25\": 4.5, \"pm10\": 9.8, \"time\": \"15.11.2019 13:40:35\"}, {\"pm10\": 9.1, \"pm25\": 5.0, \"time\": \"15.11.2019 13:46:08\"}, {\"pm25\": 4.7, \"pm10\": 10.8, \"time\": \"15.11.2019 13:51:40\"}, {\"pm10\": 9.6, \"pm25\": 4.5, \"time\": \"15.11.2019 13:57:13\"}, {\"pm25\": 4.8, \"pm10\": 10.2, \"time\": \"15.11.2019 14:02:45\"}, {\"pm10\": 12.0, \"pm25\": 5.0, \"time\": \"15.11.2019 14:08:17\"}, {\"pm25\": 5.0, \"pm10\": 11.0, \"time\": \"15.11.2019 14:13:50\"}, {\"pm10\": 11.9, \"pm25\": 4.6, \"time\": \"15.11.2019 14:19:22\"}, {\"pm25\": 5.3, \"pm10\": 11.1, \"time\": \"15.11.2019 14:24:54\"}, {\"pm10\": 12.5, \"pm25\": 4.8, \"time\": \"15.11.2019 14:30:27\"}, {\"pm25\": 5.7, \"pm10\": 12.9, \"time\": \"15.11.2019 14:35:59\"}, {\"pm10\": 10.7, \"pm25\": 5.1, \"time\": \"15.11.2019 14:41:32\"}, {\"pm25\": 5.4, \"pm10\": 13.8, \"time\": \"15.11.2019 14:47:04\"}, {\"pm10\": 12.6, \"pm25\": 5.7, \"time\": \"15.11.2019 14:52:36\"}, {\"pm25\": 6.2, \"pm10\": 14.2, \"time\": \"15.11.2019 15:10:09\"}, {\"pm10\": 13.7, \"pm25\": 6.0, \"time\": \"15.11.2019 15:15:41\"}, {\"pm25\": 7.0, \"pm10\": 15.6, \"time\": \"15.11.2019 15:16:58\"}, {\"pm10\": 15.2, \"pm25\": 7.2, \"time\": \"15.11.2019 15:22:28\"}, {\"pm25\": 7.0, \"pm10\": 15.8, \"time\": \"15.11.2019 16:51:10\"}, {\"pm10\": 14.2, \"pm25\": 6.7, \"time\": \"15.11.2019 16:56:42\"}, {\"pm25\": 7.7, \"pm10\": 17.2, \"time\": \"15.11.2019 16:58:32\"}, {\"pm10\": 16.2, \"pm25\": 6.6, \"time\": \"15.11.2019 17:04:04\"}, {\"pm25\": 7.3, \"pm10\": 16.4, \"time\": \"15.11.2019 17:09:37\"}, {\"pm10\": 15.6, \"pm25\": 6.9, \"time\": \"15.11.2019 17:15:09\"}, {\"pm25\": 6.6, \"pm10\": 14.7, \"time\": \"15.11.2019 17:20:42\"}, {\"pm10\": 14.9, \"pm25\": 6.5, \"time\": \"15.11.2019 17:26:14\"}, {\"pm25\": 6.8, \"pm10\": 14.8, \"time\": \"15.11.2019 17:31:46\"}, {\"pm10\": 13.7, \"pm25\": 6.4, \"time\": \"15.11.2019 17:37:19\"}, {\"pm25\": 7.1, \"pm10\": 16.0, \"time\": \"15.11.2019 17:50:58\"}, {\"pm10\": 15.0, \"pm25\": 6.8, \"time\": \"15.11.2019 17:52:08\"}, {\"pm25\": 7.2, \"pm10\": 16.0, \"time\": \"15.11.2019 17:57:40\"}, {\"pm10\": 15.7, \"pm25\": 7.1, \"time\": \"15.11.2019 18:03:13\"}, {\"pm25\": 6.9, \"pm10\": 14.9, \"time\": \"15.11.2019 18:08:45\"}, {\"pm10\": 18.6, \"pm25\": 7.4, \"time\": \"15.11.2019 18:14:17\"}, {\"pm25\": 8.0, \"pm10\": 18.6, \"time\": \"15.11.2019 18:19:50\"}, {\"pm10\": 19.3, \"pm25\": 7.9, \"time\": \"15.11.2019 18:25:22\"}, {\"pm25\": 8.2, \"pm10\": 19.8, \"time\": \"15.11.2019 18:30:54\"}, {\"pm10\": 17.5, \"pm25\": 8.0, \"time\": \"15.11.2019 18:36:27\"}, {\"pm25\": 7.6, \"pm10\": 16.4, \"time\": \"15.11.2019 18:41:59\"}, {\"pm10\": 16.7, \"pm25\": 7.9, \"time\": \"15.11.2019 18:47:31\"}, {\"pm25\": 7.4, \"pm10\": 16.8, \"time\": \"15.11.2019 18:53:04\"}, {\"pm10\": 17.6, \"pm25\": 7.4, \"time\": \"15.11.2019 18:58:36\"}, {\"pm25\": 7.2, \"pm10\": 20.3, \"time\": \"15.11.2019 19:04:09\"}, {\"pm10\": 17.3, \"pm25\": 7.3, \"time\": \"15.11.2019 19:09:41\"}, {\"pm25\": 8.5, \"pm10\": 18.3, \"time\": \"15.11.2019 19:15:13\"}, {\"pm10\": 20.2, \"pm25\": 8.8, \"time\": \"15.11.2019 19:20:46\"}, {\"pm25\": 9.0, \"pm10\": 21.4, \"time\": \"15.11.2019 19:26:18\"}, {\"pm10\": 20.7, \"pm25\": 9.3, \"time\": \"15.11.2019 19:31:50\"}, {\"pm25\": 8.5, \"pm10\": 17.0, \"time\": \"15.11.2019 19:37:23\"}, {\"pm10\": 18.1, \"pm25\": 8.2, \"time\": \"15.11.2019 19:42:55\"}, {\"pm25\": 7.9, \"pm10\": 17.9, \"time\": \"15.11.2019 19:48:28\"}, {\"pm10\": 16.4, \"pm25\": 7.7, \"time\": \"15.11.2019 19:54:00\"}, {\"pm25\": 8.0, \"pm10\": 16.6, \"time\": \"15.11.2019 19:59:32\"}, {\"pm10\": 15.7, \"pm25\": 7.9, \"time\": \"15.11.2019 20:05:05\"}, {\"pm25\": 7.0, \"pm10\": 15.0, \"time\": \"15.11.2019 20:10:37\"}, {\"pm10\": 14.6, \"pm25\": 6.7, \"time\": \"15.11.2019 20:16:09\"}, {\"pm25\": 7.1, \"pm10\": 12.7, \"time\": \"15.11.2019 20:21:42\"}, {\"pm10\": 16.6, \"pm25\": 7.3, \"time\": \"15.11.2019 20:27:14\"}, {\"pm25\": 6.4, \"pm10\": 14.0, \"time\": \"15.11.2019 20:32:47\"}, {\"pm10\": 15.2, \"pm25\": 6.7, \"time\": \"15.11.2019 20:38:19\"}, {\"pm25\": 6.8, \"pm10\": 12.8, \"time\": \"15.11.2019 20:43:51\"}, {\"pm10\": 12.7, \"pm25\": 6.6, \"time\": \"15.11.2019 20:49:24\"}, {\"pm25\": 6.9, \"pm10\": 12.2, \"time\": \"15.11.2019 20:54:56\"}, {\"pm10\": 11.2, \"pm25\": 6.4, \"time\": \"15.11.2019 21:00:28\"}, {\"pm25\": 5.6, \"pm10\": 11.5, \"time\": \"15.11.2019 21:06:01\"}, {\"pm10\": 11.2, \"pm25\": 5.6, \"time\": \"15.11.2019 21:11:33\"}, {\"pm25\": 2.4, \"pm10\": 5.2, \"time\": \"16.11.2019 08:50:54\"}, {\"pm10\": 5.2, \"pm25\": 2.3, \"time\": \"16.11.2019 08:56:27\"}, {\"pm25\": 2.7, \"pm10\": 8.2, \"time\": \"16.11.2019 09:01:59\"}, {\"pm10\": 4.7, \"pm25\": 2.1, \"time\": \"16.11.2019 09:07:32\"}, {\"pm25\": 2.0, \"pm10\": 5.1, \"time\": \"16.11.2019 09:13:04\"}, {\"pm10\": 4.6, \"pm25\": 2.1, \"time\": \"16.11.2019 09:18:36\"}, {\"pm25\": 5.0, \"pm10\": 11.7, \"time\": \"16.11.2019 13:16:41\"}, {\"pm10\": 10.1, \"pm25\": 4.6, \"time\": \"16.11.2019 13:22:11\"}, {\"pm25\": 7.3, \"pm10\": 17.2, \"time\": \"16.11.2019 15:36:53\"}, {\"pm10\": 13.6, \"pm25\": 6.2, \"time\": \"16.11.2019 15:42:25\"}, {\"pm25\": 7.7, \"pm10\": 15.4, \"time\": \"16.11.2019 17:02:49\"}, {\"pm10\": 14.5, \"pm25\": 7.1, \"time\": \"16.11.2019 17:08:22\"}, {\"pm25\": 8.5, \"pm10\": 15.7, \"time\": \"16.11.2019 17:38:24\"}, {\"pm10\": 15.2, \"pm25\": 7.8, \"time\": \"16.11.2019 17:43:57\"}, {\"pm25\": 8.2, \"pm10\": 19.6, \"time\": \"16.11.2019 17:49:29\"}, {\"pm10\": 16.5, \"pm25\": 7.7, \"time\": \"16.11.2019 17:55:01\"}, {\"pm25\": 8.1, \"pm10\": 13.4, \"time\": \"16.11.2019 20:46:43\"}, {\"pm10\": 14.4, \"pm25\": 8.4, \"time\": \"16.11.2019 20:52:15\"}, {\"pm25\": 7.2, \"pm10\": 14.3, \"time\": \"16.11.2019 20:57:48\"}, {\"pm10\": 12.7, \"pm25\": 7.4, \"time\": \"16.11.2019 21:03:20\"}, {\"pm25\": 7.0, \"pm10\": 11.1, \"time\": \"16.11.2019 21:08:52\"}, {\"pm10\": 11.4, \"pm25\": 6.4, \"time\": \"16.11.2019 21:14:25\"}, {\"pm25\": 6.1, \"pm10\": 9.2, \"time\": \"16.11.2019 21:38:13\"}, {\"pm10\": 10.7, \"pm25\": 6.0, \"time\": \"16.11.2019 21:43:45\"}, {\"pm25\": 6.4, \"pm10\": 10.0, \"time\": \"16.11.2019 21:49:18\"}, {\"pm10\": 9.7, \"pm25\": 6.1, \"time\": \"16.11.2019 21:54:50\"}, {\"pm25\": 5.9, \"pm10\": 8.2, \"time\": \"16.11.2019 22:00:22\"}, {\"pm10\": 9.5, \"pm25\": 6.3, \"time\": \"16.11.2019 22:05:55\"}]"
matches = re.search(regex, test_str)
if matches:
print ("Match was found at {start}-{end}: {match}".format(start = matches.start(), end = matches.end(), match = matches.group()))
for groupNum in range(0, len(matches.groups())):
groupNum = groupNum + 1
print ("Group {groupNum} found at {start}-{end}: {group}".format(groupNum = groupNum, start = matches.start(groupNum), end = matches.end(groupNum), group = matches.group(groupNum)))
# Note: for Python 2.7 compatibility, use ur"" to prefix the regex and u"" to prefix the test string and substitution.
Please keep in mind that these code samples are automatically generated and are not guaranteed to work. If you find any syntax errors, feel free to submit a bug report. For a full regex reference for Python, please visit: https://docs.python.org/3/library/re.html