May 08, 2019 · Now let us use NumPy to perform groupby operation. First let us extract the columns of interest from the dataframe in to NumPy arrays. # numPy array for lifeExp life_exp = gapminder[['lifeExp']].values # NumPy array for continent conts= gapminder[['continent']].values Let us also get the groups, in this case five continents as an array. How to build a date/time value from the year, month, day, hour, minute, and second as integers. convert to string. How to convert a date value to a string using the default format for the locale. parse datetime. How to parse a date/time value from a string in the manner of strptime from the C standard library. format datetime
group (word) ¶. Get groups of traces matching a key. This feature is experimental, and there are no guarantees code using this will work in the future.. Walks the headers and groups traces into buckets, where all traces in a bucket have the same value for the given set of words.