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I am attempting to add a year to a column of dates in a pandas dataframe, but when I use pd.to_timedelta I get additional hours & minutes. I know I could take the updated time and truncate the hours, but I feel like there must be a way to add a year precisely.
15 Μαΐ 2015 · The module xlrd provides a function xldate_as_tuple to convert Excel's numerical date format to a tuple (year, month, day, hour, minute, nearest_second). You can then use datetime.datetime to convert the tuple into a datetime-object.
20 Ιουν 2019 · Valid date strings can be converted to datetime objects using to_datetime function or as part of read functions. Datetime objects in pandas support calculations, logical operations and convenient date-related properties using the dt accessor.
4 Μαρ 2020 · Add and subtract dates. Use Timedelta! Example: from datetime import datetime, timedelta from dateutil.parser import parse parse('2019-04-07') — timedelta(days=3) # or, to get it as a string (parse('2019-04-07') — timedelta(days=3)).strftime('%Y-%m-%d') Output: # with date format datetime.datetime(2019, 4, 4, 0, 0) # with string format ...
Read an Excel file into a pandas DataFrame. Supports xls, xlsx, xlsm, xlsb, odf, ods and odt file extensions read from a local filesystem or URL. Supports an option to read a single sheet or a list of sheets. Any valid string path is acceptable.
3 Ιουν 2022 · In this example we use the NumPy library, to create a datetime object using the np.datetime64() method and then add years using timedelta using the np.timedelta64() method. a string of date format is passed in the np.datetime64() method and the required number of years is added using the np.timedelta64() method.
An example of converting a Pandas dataframe with datetimes to an Excel file with a default datetime and date format using Pandas and XlsxWriter.
