Error encountered in Hazards/SARChangeDetectionMethods_From_Prepared_Data_Stack.ipynb

[testern]

I was working through the Hazards/SARChangeDetectionMethods_From_Prepared_Data_Stack.ipynb notebook, which is based on data from the Exercise4A-SARChangeDetectionMethods.ipynb notebook.

At step 4. Create a Pandas Time Index and Display the VRT Band Dates, I encountered the following while running cell 14:

Create an index of timedelta64 data with Pandas:
tindex = pd.DatetimeIndex(dates)
tindex = pd.DatetimeIndex(dates)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data, dayfirst, yearfirst, utc, errors, require_iso8601, allow_object)
   2084         try:
-> 2085             values, tz_parsed = conversion.datetime_to_datetime64(data)
   2086             # If tzaware, these values represent unix timestamps, so we

pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.datetime_to_datetime64()

TypeError: Unrecognized value type: <class 'str'>

During handling of the above exception, another exception occurred:

ParserError                               Traceback (most recent call last)
<ipython-input-14-3b54fb0f6ce4> in <module>
----> 1 tindex = pd.DatetimeIndex(dates)

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/indexes/datetimes.py in __new__(cls, data, freq, tz, normalize, closed, ambiguous, dayfirst, yearfirst, dtype, copy, name)
    305         name = maybe_extract_name(name, data, cls)
    306 
--> 307         dtarr = DatetimeArray._from_sequence_not_strict(
    308             data,
    309             dtype=dtype,

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in _from_sequence_not_strict(cls, data, dtype, copy, tz, freq, dayfirst, yearfirst, ambiguous)
    324         freq, freq_infer = dtl.maybe_infer_freq(freq)
    325 
--> 326         subarr, tz, inferred_freq = sequence_to_dt64ns(
    327             data,
    328             dtype=dtype,

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in sequence_to_dt64ns(data, dtype, copy, tz, dayfirst, yearfirst, ambiguous)
   1971             # data comes back here as either i8 to denote UTC timestamps
   1972             #  or M8[ns] to denote wall times
-> 1973             data, inferred_tz = objects_to_datetime64ns(
   1974                 data, dayfirst=dayfirst, yearfirst=yearfirst
   1975             )

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data, dayfirst, yearfirst, utc, errors, require_iso8601, allow_object)
   2088             return values.view("i8"), tz_parsed
   2089         except (ValueError, TypeError):
-> 2090             raise e
   2091 
   2092     if tz_parsed is not None:

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/pandas/core/arrays/datetimes.py in objects_to_datetime64ns(data, dayfirst, yearfirst, utc, errors, require_iso8601, allow_object)
   2073 
   2074     try:
-> 2075         result, tz_parsed = tslib.array_to_datetime(
   2076             data,
   2077             errors=errors,

pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime()

pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime()

pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime_object()

pandas/_libs/tslib.pyx in pandas._libs.tslib.array_to_datetime_object()

pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.parse_datetime_string()

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/dateutil/parser/_parser.py in parse(timestr, parserinfo, **kwargs)
   1372         return parser(parserinfo).parse(timestr, **kwargs)
   1373     else:
-> 1374         return DEFAULTPARSER.parse(timestr, **kwargs)
   1375 
   1376 

~/.local/envs/rtc_analysis/lib/python3.9/site-packages/dateutil/parser/_parser.py in parse(self, timestr, default, ignoretz, tzinfos, **kwargs)
    647 
    648         if res is None:
--> 649             raise ParserError("Unknown string format: %s", timestr)
    650 
    651         if len(res) == 0:

ParserError: Unknown string format: _2018010

[Alex-Lewandowski]

Thanks for finding that @testern! It was a bad date parsing regex. Fixed and pushed to the conda_envs branch