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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def viewTs(ts):
 """ View the contents of one time series entry in a nicely formatted way | Example | 1. D = lipd.readLipd() | 2. ts = lipd.extractTs(D) | 3. viewTs(ts[0]) :param dict ts: One time series entry :return none: """

    _ts = ts
    if isinstance(ts, list):
        _ts = ts[0]
        print("It looks like you input a full time series. It's best to view one entry at a time.\n"
              "I'll show you the first entry...")
    _tmp_sort = OrderedDict()
    _tmp_sort["ROOT"] = {}
    _tmp_sort["PUBLICATION"] = {}
    _tmp_sort["GEO"] = {}
    _tmp_sort["OTHERS"] = {}
    _tmp_sort["DATA"] = {}

    # Organize the data by section
    for k,v in _ts.items():
        if not any(i == k for i in ["paleoData", "chronData", "mode", "@context"]):
            if k in ["archiveType", "dataSetName", "googleSpreadSheetKey", "metadataMD5", "tagMD5", "googleMetadataWorksheet", "lipdVersion"]:
                _tmp_sort["ROOT"][k] = v
            elif "pub" in k:
                _tmp_sort["PUBLICATION"][k] = v
            elif "geo" in k:
                _tmp_sort["GEO"][k] = v
            elif "paleoData_" in k or "chronData_" in k:
                if isinstance(v, list) and len(v) > 2:
                    _tmp_sort["DATA"][k] = "[{}, {}, {}, ...]".format(v[0], v[1], v[2])
                else:
                    _tmp_sort["DATA"][k] = v
            else:
                if isinstance(v, list) and len(v) > 2:
                    _tmp_sort["OTHERS"][k] = "[{}, {}, {}, ...]".format(v[0], v[1], v[2])
                else:
                    _tmp_sort["OTHERS"][k] = v

    # Start printing the data to console
    for k1, v1 in _tmp_sort.items():
        print("\n{}\n===============".format(k1))
        for k2, v2 in v1.items():
            print("{} : {}".format(k2, v2))

    return