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Looking for pandas "ungroup by" operation opposite to .groupby …
Nov 18, 2023 · There are a few ways to undo DataFrame.groupby, one way is to do DataFrame.groupby.filter(lambda x:True), this gets back to the original DataFrame. Share Improve this answer
Stackoverflow.compython - How to print a groupby object - Stack Overflow
Apr 10, 2017 · 3. This is a better general purpose answer. This function will print all group names and values, or optionally selects one or more groups for display. def print_pd_groupby(X, grp=None): '''Display contents of a Panda groupby object. :param X: pandas groupby object. :param grp: a list with one or more group names.
Stackoverflow.comCount unique values using pandas groupby - Stack Overflow
Count unique values using pandas groupby [duplicate] Ask Question Asked 7 years, 10 months ago.
Stackoverflow.comConcatenate strings from several rows using Pandas groupby
The answer by EdChum provides you with a lot of flexibility but if you just want to concateate strings into a column of list objects you can also: output_series = df.groupby(['name','month'])['text'].apply(list) edited Feb 15, 2022 at 2:07. David Wolf.
Stackoverflow.compython - pandas get average of a groupby - Stack Overflow
Oct 16, 2016 · Because i group by user and month, there is no way to get the average of the second groupby (month) unless i transform the groupby output to something else. This is my df: df = { 'id' : pd.Series([1,1,1,1,2,2,2,2]), 'cost' : pd.Series([10,20,30,40,50,60,70,80]), 'mth': pd.Series([3,3,4,5,3,4,4,5])} cost id mth. I can get monthly sum but i want
Stackoverflow.compandas GroupBy columns with NaN (missing) values
There not being able to include (and propagate) NaNs in groups is quite aggravating. Citing R is not convincing, as this behavior is not consistent with a lot of other things. Anyway, the dummy hack is also pretty bad. However, the size (includes NaNs) and the count (ignores NaNs) of a group will differ if there are NaNs. dfgrouped = df.groupby
Stackoverflow.comHow to loop over grouped Pandas dataframe? - Stack Overflow
Loop over groupby object. When you groupby a DataFrame/Series, you create a pandas.core.groupby.generic.DataFrameGroupBy object which defines the __iter__() method, so can be iterated over like any other objects that define this method. It can be cast into a list/tuple/iterator etc.
Stackoverflow.comHow to group Pandas data frame by column with regex match
Mar 27, 2017 · Furthermore, by definition of a groupby, the group names/labels (which you've called name) are unique, so the desired output you described is just not possible; the closest thing would be to create a row of labels (i.e. Mobile and 1-999) and use those in your groups instead, but I'm not sure if this is relevant to what you're trying to do.
Stackoverflow.comHow do I use Pandas group-by to get the sum? - Stack Overflow
This operation will calculate the total number in one group with function sum, the result is a series with the same index as original dataframe. df['Number'] = df.groupby(['Fruit', 'Name'])['Number'].transform('sum') df = df.drop_duplicates(subset=['Fruit', 'Name']).drop('Date', 1) Then, you can drop the duplicate rows on column Fruit and Name.
Stackoverflow.compython - Pandas groupby with bin counts - Stack Overflow
pandas groupby with bin counts. Ask Question Asked 8 years, 11 months ago. Modified 1 year, 8 months ago.
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