I would like to convert this into a pandas dataframe by having the dates and their corresponding values as two separate columns.
& @Satanicpuppy: 1 - Confirmed both methods work and produce identical results using the Unix Time entry at Wikipedia.
Properly implemented, the formulas should translate 1299098490 to 03/02/2011 @ Zulu after formatting the cell to date/time.
I am unable to find resources on the pandas docs to help me with this.
I know one solution might be to convert each key-value pair in this dict, into a dict so the entire structure becomes a dict of dicts, and then we can add each row individually to the dataframe.
But I want to know if there is an easier way and a more direct way to do this.
So far I have tried converting the dict into a series object but this doesn't seem to maintain the relationship between the columns: In : pd.
In the present, Shido Itsuka, a seemingly ordinary high school student comes across a mysterious girl at the ground zero of a spatial quake.
He learns from his adoptive sister Kotori that the girl is one of the "Spirits" from different dimensions who are the real cause of the spatial quakes that occur when they manifest themselves in the real world.
Date that allows the JDBC API to identify this as an SQL TIMESTAMP value.