Webpandas.to_timedelta(arg, unit=None, errors='raise') [source] #. Convert argument to timedelta. Timedeltas are absolute differences in times, expressed in difference units … WebDec 29, 2015 · I think the problem is in data - a problematic string exists. So you can try check length of the string in column Start Date:. import pandas as pd import io temp=u"""Start Date 1/7/13 1/7/1 1/7/13 12 17 16/7/13 16/7/13""" data = pd.read_csv(io.StringIO(temp), sep=";", parse_dates=False) #data['Start Date']= …
Solved: Error "Cannot convert argument..." while Scheduli
WebDec 3, 2014 · It always says cannot convert to timestamp. The date I need is 30.12.1899 00:00:00. I'm working in C# my code looks like this: command = new OdbcCommand (String.Format ("INSERT INTO LX_PLAUSIS (dateAbrech) VALUES (' {0}')", new DateTime (1899, 12, 30, 00, 00, 00), connection); command.ExecuteNonQuery (); I know DateTime … WebJan 24, 2024 · What this is telling you is that you cannot directly convert a PyObject* to an object. You need to tell it how to handle the ownership of the PyObject*. This is done with the boost::python::handle type. Thus, changing … community cares act.org
Cannot convert value #datetime to Date - Power BI
WebJul 4, 2024 · 1 Answer. I think you need length of bdate_range for each row, so need custom function with apply: #convert only once to datetime result ['dte'] = pd.to_datetime (result ['dte']) f = lambda x: len (pd.bdate_range (x ['dte'], x ['dte'] + pd.offsets.BMonthEnd (0))) result ['bdaterange'] = result.apply (f, axis=1) print (result) bid ask spread dte ... WebNow I convert datetime to timestamp value-by-value with .apply () but it takes a very long time (some hours) if I have some (hundreds of) million rows: df ['ts'] = df [ ['datetime']].apply (lambda x: x [0].timestamp (), axis=1).astype (int) Output: datetime ts 0 2016-01-01 00:00:01 1451602801 1 2016-01-01 01:00:01 1451606401 2 2016-01-01 02:00: ... WebMay 5, 2010 · Thanks for contributing an answer to Stack Overflow! Please be sure to answer the question.Provide details and share your research! But avoid …. Asking for help, clarification, or responding to other answers. duke oversized sweatshirt