pandas dataframe: how to aggregate a subset of rows based on value of a column

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pandas subset and drop rows based on column value

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How to assign a value to a column for a subset of dataframe based on a condition in Pandas?

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How to replicate rows based on value of a column in same pandas dataframe

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Repeat rows in a pandas DataFrame based on column value

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Filter pandas dataframe based on a column: keep all rows if a value is that column

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Assign value to subset of rows in Pandas dataframe

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Dropping rows from pandas dataframe based on value in column(s)

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Deleting DataFrame rows in Pandas based on column value - multiple values to remove

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Pandas dataframe remove rows based on index and column value

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pandas: how to aggregate a subset of groupby rows into a single row?

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How to create column based on conditions on other rows - Pandas Dataframe?

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Pandas DataFrame, how to calculate a new column element based on multiple rows

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SQL: How to select a column-value based on an aggregate min/max value in a window frame (including preceding rows)

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How to drop rows of Pandas DataFrame whose value in a certain column is NaN

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Merge rows of a dataframe in pandas based on a column

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calculate average and maximum value for subset of rows in pandas dataframe

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How to compress a pandas dataframe, based on their boolean column value?

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How to replace a value in a pandas dataframe with column name based on a condition?

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How to explode pandas dataframe based on number value in a specific column

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Drop rows in pandas dataframe based on columns value

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Select all the rows based on a column value pandas

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pandas add rows based on column value

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Select all the rows based on a column value pandas

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Matching rows based on column value python pandas

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In R, how do you subset rows of a dataframe based on values in a vector

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Pandas: subset multiple columns by name based on value in another column

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How to generate a list of ranges to subset rows from pandas dataframe?

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How to drop duplicates from a subset of rows in a pandas dataframe?

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How to update a subset of Pandas DataFrame rows with new (different) values?