How can I use advanced indexing in Pandas DataFrames?
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How can I use advanced indexing in Pandas DataFrames?
Advanced indexing in Pandas allows you to select data using arrays, lists, or boolean conditions. What specific use case do you have in mind?
I want to select specific rows based on multiple conditions.
You can use boolean indexing for that. For example, df[(df['column1'] > value1) & (df['column2'] < value2)] will give you the rows that meet both conditions.
Can I also use .loc with a list of indices?
Yes, you can! For instance, df.loc[[index1, index2, index3]] will return the rows at those specific indices.
What about selecting specific columns as well?
You can combine .loc with column selection like this: df.loc[[index1, index2], ['column1', 'column2']] to get specific rows and columns.
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