WebDec 31, 2005 · I define a DatetimeIndex as below. >>> date_rng = pandas.date_range ('20060101','20121231',freq='D') >>> type (date_rng) WebDatetimeIndex.strftime(date_format) ¶ Return an array of formatted strings specified by date_format, which supports the same string format as the python standard library. …
How to convert a Pandas DatetimeIndex to string …
http://duoduokou.com/python/62082728275732239696.html WebMay 10, 2024 · DatetimeIndex 型のインデックスには年月日( year, month, day )、時分秒( hour, minute, second )、曜日(文字列: weekday_name, 数値: dayofweek )などの属性や、 strftime () などのメ … pome berry
Pandas: changing dataframe date index format - Stack Overflow
As you see above, the type of df.index is DatetimeIndex, which you can use DatetimeIndex.strftime() to convert to a specific string format. The below example converts it into String with date format '%m/%d/%Y, %r'. Yields below output. Similarly, you can also use df.index.format()to convert … See more If you are in hurry, below are some quick examples of converting DatetimeIndex to String. Now, Let’s create a pandas DataFrame with a … See more You can assign this formatted DatetimeIndex String to Index but the index type would be Index with string values. Note that this is not a good practice as you … See more In this article, I have explained how to convert DatetimeIndex to String format of pandas DataFrame index by using pd.to_datetime() and DatetimeIndex.strftime()functions … See more Webdf ['Datetime'] = pd.to_datetime (df ['date'] + ' ' + df ['time']) df = df.set_index ('Datetime') And to get rid of unwanted columns (as OP did but did not specify per se in the question): df = df.drop ( ['date','time'], axis=1) Share Improve this answer Follow edited Dec 27, 2024 at 12:06 Maximilian Janisch 234 2 11 answered Nov 20, 2014 at 23:10 WebMay 8, 2015 · There is a pandas function that can be applied to DateTime index in pandas data frame. date = dataframe.index #date is the datetime index date = dates.strftime ('%Y-%m-%d') #this will return you a numpy array, element is string. dstr = date.tolist () #this will make you numpy array into a list the element inside the list: u'1910-11-02' po medication + otitis externa