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- pandas. DataFrame. drop_duplicates — pandas 2. 3. 0 documentation
pandas DataFrame drop_duplicates# DataFrame drop_duplicates (subset = None, *, keep = 'first', inplace = False, ignore_index = False) [source] # Return DataFrame with duplicate rows removed Considering certain columns is optional Indexes, including time indexes are ignored Parameters: subset column label or sequence of labels, optional
- Pandas: Knowing when an operation affects the original dataframe
I've personally found that the specific pattern of subsetting a dataframe according so some rule (e g slicing or boolean operation) and then modifying that subset, independent of the original dataframe, is a much more common operation than the docs suggest
- Pandas dataframe. drop_duplicates() - GeeksforGeeks
This example shows how duplicate rows are removed while retaining the first occurrence using dataframe drop_duplicates() Syntax: DataFrame drop_duplicates(subset=None, keep='first', inplace=False)
- pandas. DataFrame. drop_duplicates() - Examples - Spark By . . .
By default, the drop_duplicates() operation is not in-place, meaning it returns a new DataFrame with the duplicates removed, while leaving the original DataFrame unchanged If you want to modify the DataFrame in-place (i e , remove the duplicates directly from the original DataFrame without creating a new one), you can set the inplace parameter
- . duplicated () and . drop_duplicates () methods in Pandas . . .
It is important to note that the drop_duplicates method modifies the original DataFrame in place If a new DataFrame is desired without modifying the original, the method should be used
- How pandas drop_duplicates works in Python? Best example
By default, drop_duplicates() returns a new DataFrame instead of modifying the existing one To change the original DataFrame in place, use inplace=True : df drop_duplicates(inplace=True)
- Pandas drop_duplicates(): Remove Duplicate Rows - Python Guides
When we call drop_duplicates () without any parameters, it considers all columns and keeps only the first occurrence of each duplicate row Read Convert Python Dictionary to Pandas DataFrame 1 Remove Duplicates Based on Specific Columns Often, you’ll want to identify duplicates based on only certain columns
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