Need help passing date to pandas query - python-3.x

Question

How do I pass the output of this prompt to a pandas search by date in excel?
import pandas as pd
TestedDateBegin = pd.to_datetime(input('Input date in mm-dd-yyyy format: '))
For example, if I input 2019-09-08 into above input prompt and run TestedDateBegin I get this output:
Timestamp('2019-09-08 00:00:00')
This search with the date hard coded works fine.
data = df.loc[df['emr_first_access_date'] >= '2019-09-08', ['site_name','subs_num','emr_id', ```'emr_first_access_date']]
But how do I pass the date inputted from the prompt so the user can search by any date?
This doesnt work:
data = df.loc[df['emr_first_access_date'] >= 'TestedDateBegin', ['site_name','subs_num','emr_id',
and throws a exception:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
pandas/_libs/tslibs/np_datetime.pyx in pandas._libs.tslibs.np_datetime._string_to_dts()
ValueError: Error parsing datetime string "TestedDateBegin" at position 0
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
pandas/_libs/tslibs/parsing.pyx in pandas._libs.tslibs.parsing.parse_datetime_string()
~\AppData\Local\Continuum\anaconda3\lib\site-packages\dateutil\parser\_parser.py in parse(timestr, parserinfo, **kwargs)
1357 else:
-> 1358 return DEFAULTPARSER.parse(timestr, **kwargs)
1359
~\AppData\Local\Continuum\anaconda3\lib\site-packages\dateutil\parser\_parser.py in parse(self, timestr, default, ignoretz, tzinfos, **kwargs)
648 if res is None:
--> 649 raise ValueError("Unknown string format:", timestr)
650
ValueError: ('Unknown string format:', 'TestedDateBegin')
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in wrapper(self, other)
144 try:
--> 145 other = _to_M8(other, tz=self.tz)
146 except ValueError:
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in _to_M8(key, tz)
77 # this also converts strings
---> 78 key = Timestamp(key)
79 if key.tzinfo is not None and tz is not None:
pandas/_libs/tslibs/timestamps.pyx in pandas._libs.tslibs.timestamps.Timestamp.__new__()
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_to_tsobject()
pandas/_libs/tslibs/conversion.pyx in pandas._libs.tslibs.conversion.convert_str_to_tsobject()
ValueError: could not convert string to Timestamp
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
<ipython-input-2-702fd23c14bb> in <module>
----> 1 data = df.loc[df['emr_first_access_date'] >= 'TestedDateBegin', ['site_name','subs_num','emr_id', 'emr_first_access_date']]
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in wrapper(self, other, axis)
1714
1715 res_values = dispatch_to_index_op(op, self, other,
-> 1716 pd.DatetimeIndex)
1717
1718 return self._constructor(res_values, index=self.index,
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in dispatch_to_index_op(op, left, right, index_class)
1189 left_idx = left_idx._shallow_copy(freq=None)
1190 try:
-> 1191 result = op(left_idx, right)
1192 except NullFrequencyError:
1193 # DatetimeIndex and TimedeltaIndex with freq == None raise ValueError
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\indexes\datetimelike.py in wrapper(self, other)
115 other = other._values
116
--> 117 result = op(self._data, maybe_unwrap_index(other))
118 return result
119
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\arrays\datetimes.py in wrapper(self, other)
146 except ValueError:
147 # string that cannot be parsed to Timestamp
--> 148 return ops.invalid_comparison(self, other, op)
149
150 result = op(self.asi8, other.view('i8'))
~\AppData\Local\Continuum\anaconda3\lib\site-packages\pandas\core\ops.py in invalid_comparison(left, right, op)
1056 else:
1057 raise TypeError("Invalid comparison between dtype={dtype} and {typ}"
-> 1058 .format(dtype=left.dtype, typ=type(right).__name__))
1059 return res_values
1060
TypeError: Invalid comparison between dtype=datetime64[ns] and str

Answer 1

The error
TypeError: Invalid comparison between dtype=datetime64[ns] and str
tells that you try to compare datetime with string. To do it convert your string to datetime manually. In your case try:
from datetime import datetime
date = '2019-09-08'
date = datetime.strptime(date, '%Y-%m-%d')
To learn more information about date formatting see documentation