Answer by AChampion for pandas - create key value pair from grouped by data...
You can iterate over the MultiIndex series:>>> s = df.set_index(['ColX', 'ColY'])['Sum']>>> {k: v.reset_index(level=0, drop=True).to_dict() for k, v in s.groupby(level=0)}{'A': {'a':...
View ArticleAnswer by Allen Qin for pandas - create key value pair from grouped by data...
#A to_dict() solutiond = df.groupby(['Col X','Col Y']).sum().reset_index().pivot(columns='Col X',values='Sum').to_dict()Out[70]: {'A': {0: 3.0, 1: 2.0, 2: 1.0, 3: nan, 4: nan, 5: nan},'B': {0: nan, 1:...
View ArticleAnswer by piRSquared for pandas - create key value pair from grouped by data...
Use a dictionary comprehension while iterating via a groupby object{name: dict(zip(g['Col Y'], g['Sum'])) for name, g in df.groupby('Col X')}{'A': {'a': 3, 'b': 2, 'c': 1}, 'B': {'p': 5, 'q': 6, 'r':...
View Articlepandas - create key value pair from grouped by data frame
I have a data frame with three columns, I would like to create a dictionary after applying groupby function on first and second column.I can do this by for loops, but is there any pandas way of doing...
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