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I have a dataframe that I want to alter (according to the code right below) but it put's all the 'Experiment' name values in alphabetical order. Is there a way to leave the order as it is after calling pandas.Dataframe.groupby?
df = df.groupby(['Experiment', 'Step'], as_index=False)['value'].aggregate(np.sum)
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Groupby preserves the order of rows within each group. When calling apply, add group keys to index to identify pieces. Reduce the dimensionality of the return type if possible, otherwise return a consistent type.
Pandas Groupby is used in situations where we want to split data and set into groups so that we can do various operations on those groups like – Aggregation of data, Transformation through some group computations or Filtration according to specific conditions applied on the groups.
Sort Values in Descending Order with Groupby You can sort values in descending order by using ascending=False param to sort_values() method. The head() function is used to get the first n rows. It is useful for quickly testing if your object has the right type of data in it.
To group Pandas dataframe, we use groupby(). To sort grouped dataframe in descending order, use sort_values(). The size() method is used to get the dataframe size.
groupby takes a keyword argument sort, which by default is True. You should do:
df = df.groupby(['Experiment', 'Step'], sort=False, as_index=False)['value'].aggregate(np.sum)
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