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Tag: python

Change dates to quarters in JSON file Python

I’m trying to convert the dates inside a JSON file to their respective quarter and year. My JSON file is formatted below: The current code I’m using is an attempt of using the pandas.Series.dt.quarter as seen below: The issue I face is that my code isn’t comprehending the object name “lastDate”. My ideal output should have the dates ultimately replaced

IF ELSE in robot framework [Keyword as a condition]

I just can’t figure out how to map a keyword as a condition. The above function returns a bool value either True or False. “Is the Closed Message Page Present” is a keyword which I want to make condition. If the condition is true then it should execute the below two keywords else skip it. I tried following: I am

Remove mode entirely

I am trying to write a method that removes the mode entirely from a list. I’ve looked up other articles to use a for loop but it doesn’t entirely get rid of the mode from the list like it needs to. this is what my list would look like before I get rid of the mode entirely from a list.

How to use pd.apply() to instantiate new columns?

Instead of doing this: I want to do this in one line or function. Below is what I tried: But I just get Exception has occurred: ValueError. What can I do here? Answer Looks like you can replace your whole code with a reindex: NB. By default the fill value is NaN, if you really want None use fill_value=None. If

Nested arrays in Avro

I would like to store two-dimensional arrays of numbers in Avro. I have tried the following: But when I tried to read it with the parser: I get the following error: Answer It looks like you have one too many type keys. You schema should be this instead:

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