Group rows into a list in Pandas using lambda
We can use groupby() method on column 1 and agg() method to apply aggregation, consisting of the lambda function, on every group of pandas DataFrame.
Python3
# importing pandas as pdimport pandas as pd# Create the dataframedf = pd.DataFrame({'column1': ['A', 'B', 'C', 'A', 'C', 'C', 'B', 'D', 'D', 'A'], 'column2': [5, 10, 15, 20, 25, 30, 35, 40, 45, 50]})# Use groupby method and agg method # with lambda function on the dataframedf = df.groupby('column1').agg({'column2': lambda x: list(x)})# Print the dataframe againdf |
Output:
How to group dataframe rows into list in Pandas Groupby?
Suppose you have a Pandas DataFrame consisting of 2 columns and we want to group these columns. In this article, we will discuss the same.
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