![]() ![]() I'll likely do one more minor release for scheduler (to cater to paying customers) and then begin work on List view. These two features are low-hanging fruit that I'll likely tackle first: #424 #429Ĭombined they are about 1/3rd the demand of List View, but probably 1/20th the effort. I've run this idea past others and they seem receptive. The incentive to continue to support this new view amidst the hundreds of other feature requests is just not there for me otherwise. I'll likely make this a premium add-on in the same vein as scheduler. Very important deliver on it though, given the high demand. Hi to get List View up to the same standards as the other views (touch-friendly, printer-friendly, RTL, themeable, robust API), it's a non-trivial amount of work. Look at this wherer the agenda has many (in my case potentially up to 120 entries)Īnd what i want to get is something like the sketch I could use clientEvents to render my own list. essentially trying to build a flipped table internally using buildSkelton() ![]() Fullcalendar weeklist remove time column code#I tried flipping this logic but it seems the rest of the code relies that the tableīe built like this. Have the days on the left and entries horizontally displayed.īut it seems that the way buildSkeloton() builds the html table in a static manner. If you look at the basicWeek view I want to rotate the table -90 degrees. I noticed everything is based on buildSkeleton() You can delete or add the timezone info: df.dt.Hi I have been trying to change the code my self in an attempt to create some sort of Now you can use this column without getting the errors mentioned above.dt.tz_convert(None)Īnother option to deal with TimeZone info is by using the method. In order to drop the timezone info from this column you can use: df.dt.tz_localize(None) Remove TimeZone from DateTime column in Pandas. Working with timezone info is causing the errors mentioned above. If you compare the column without the timezone info you will not face an error. If you like to compare this information with another datetime column without the timezone info you will get an errors like: Here, we will use our database and create a new table named ' events ' into it. ![]() Now let's check the data stored in column time: 0 13:23:41.775854-07:00 In order to integrate fullcalendar events by using the Php MySQL, the step by step process is described as follows: Step 1: In this step, we are going to Create Events Table. Let's show simple example on removing the timezone information in Pandas. TypeError: Invalid comparison between dtype=datetime64 and DatetimeArray. ![]()
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