monthcalendar

I am interested in showing list of 12 months like in similar way to datepicker's month selection control. But i don't like to show the date picker to show the dates of that month too... only month view is ok so that i can select month from the list. my desired output: I'm not entirely sure if I understand what you're asking. If you want to show the month calendar without a picker control attached to it, you can use the MonthCalendar control . It looks like this (note the absence of the textbox and drop-down arrow): If you're wondering if there's a way to limit the content that is displayed on

I got this awesome fiddle https://fiddle.sencha.com/#fiddle/h5i from another stack overflow post (thanks igor). BUT I have one problem: the code doesn't work if I select extjs version 5.1, which is the version I use in my application. The problem is that when I click on a month or a year, the calendar just closes (you can try the behaviour by setting the version to 5.1 and running the fiddle again). I have tried to custom parts of the code, but nothing changed :s. Anyone has any ideas of why this doesn't work with extjs 5.1, or how could i workaround the problem ? Thanks in advance :) !

In Python 2.7.11 & Pandas 0.18.1: If we have the following csv file: YEAR,MONTH,ID 2011,JAN,1 2011,FEB,1 2011,MAR,1 Is there any way to read it as a Pandas data frame and convert the MONTH column into strings like this? YEAR,MONTH,ID 2011,1,1 2011,2,1 2011,3,1 Some pandas functions such as "dt.strftime('%b')" doesn't seem to work. Could someone enlighten? I guess the easiest and one of the fastest method would be to create a mapping dict and map like as follows: In [2]: df Out[2]: YEAR MONTH ID 0 2011 JAN 1 1 2011 FEB 1 2 2011 MAR 1 In [3]: d = {'JAN':1, 'FEB':2, 'MAR':3, 'APR':4, } In [4]: df

Most of the info I found was not in python>pandas>dataframe hence the question. I want to transform an integer between 1 and 12 into an abbrieviated month name. I have a df which looks like: client Month 1 sss 02 2 yyy 12 3 www 06 I want the df to look like this: client Month 1 sss Feb 2 yyy Dec 3 www Jun You can do this efficiently with combining calendar.month_abbr and df[col].apply() import calendar df['Month'] = df['Month'].apply(lambda x: calendar.month_abbr[x]) One way of doing that is with the apply method in the dataframe but, to do that, you need a map to convert the months. You could

is there a way to have all the days of a month or of a year? I am looking for this in order to disable some specific days in a datepicker, i would have a page in the back-office to select these days to disable. So i would need to show all the days in a month, and add a "activate or deactive" button below each day. Is there a way to find these days with the Date object? I found this link for example : Displaying all the days of a month but i don't really understand it, plus it is Java, i am trying to find a solution in javascript. Thank you for your help Juan Mendes To get a list of all days in

I have the need to be able to accurately find the months between two dates in python. I have a solution that works but its not very good (as in elegant) or fast. dateRange = [datetime.strptime(dateRanges[0], "%Y-%m-%d"), datetime.strptime(dateRanges[1], "%Y-%m-%d")] months = [] tmpTime = dateRange[0] oneWeek = timedelta(weeks=1) tmpTime = tmpTime.replace(day=1) dateRange[0] = tmpTime dateRange[1] = dateRange[1].replace(day=1) lastMonth = tmpTime.month months.append(tmpTime) while tmpTime < dateRange[1]: if lastMonth != 12: while tmpTime.month <= lastMonth: tmpTime += oneWeek tmpTime = tmpTime