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1. pandas.pydata.org › docs › referencepandas.DataFrame.copy — pandas 2.2.3 documentation

   pandas.pydata.org › docs › reference

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   pandas.DataFrame.copy. #. DataFrame.copy(deep=True) [source] #. Make a copy of this object’s indices and data. When deep=True (default), a new object will be created with a copy of the calling object’s data and indices.

   • pandas.DataFrame.sort_values

     pandas.DataFrame.sort_values# DataFrame. sort_values (by, *,...

   • Pandas.DataFrame.To Excel

     pandas.DataFrame.to_excel# DataFrame. to_excel...

   • Pandas.DataFrame.Drop

     See also. DataFrame.loc. Label-location based indexer for...

   • Pandas.DataFrame.To CSV

     quoting optional constant from csv module. Defaults to...

   • Pandas.DataFrame.Dropna

     pandas.DataFrame.dropna# DataFrame. dropna (*, axis=0,...

   • Pandas.DataFrame.Groupby

     pandas.DataFrame.groupby# DataFrame. groupby (by=None,...

   • Pandas.DataFrame.Merge

     Note. The copy keyword will change behavior in pandas...

   • Pandas.DataFrame.LOC

     pandas.DataFrame.loc# property DataFrame. loc [source] #....

2. www.w3schools.com › python › pandasPandas DataFrame copy() Method - W3Schools

   www.w3schools.com › python › pandas

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   The copy() method returns a copy of the DataFrame. By default, the copy is a "deep copy" meaning that any changes made in the original DataFrame will NOT be reflected in the copy.

3. www.geeksforgeeks.org › python-pandas-dataframe-copy-functionPython Pandas - DataFrame.copy() function - GeeksforGeeks

   www.geeksforgeeks.org › python-pandas-dataframe-copy-function

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   26 lis 2020 · Pandas .copy() method is used to create a copy of a Pandas object. Variables are also used to generate copy of an object but variables are just pointer to an object and any change in new data will also change the previous data.

4. stackoverflow.com › questions › 27673231why should I make a copy of a data frame in pandas

   stackoverflow.com › questions › 27673231

   28 gru 2014 · Pandas Deep copy leaves the initial DataFrame unchanged. This feature is particularly useful when you want to normalize a DataFrame and want to keep the initial df unchanged. For instance: df = pd.DataFrame(np.arange(20).reshape(2,10)) then you normalize the data: # Using Sklearn MinMaxSacaler method scaler = preprocessing.MinMaxScaler()

5. pandas.pydata.org › pandas-docs › versionpandas.DataFrame.copy — pandas 0.18.1 documentation

   pandas.pydata.org › pandas-docs › version

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   pandas.DataFrame.copy ¶. pandas.DataFrame.copy. ¶. DataFrame.copy(deep=True) ¶. Make a copy of this objects data. Parameters: deep : boolean or string, default True. Make a deep copy, including a copy of the data and the indices. With deep=False neither the indices or the data are copied.

6. stackoverflow.com › questions › 70342215How copy method works in pandas dataframe? - Stack Overflow

   stackoverflow.com › questions › 70342215

   13 gru 2021 · DataFrame.copy (deep=True) Make a copy of this object’s indices and data. When deep=True (default), a new object will be created with a copy of the calling object’s data and indices. Modifications to the data or indices of the copy will not be reflected in the original object (see notes below).

7. www.codecademy.com › resources › docsPython:Pandas | DataFrame | .copy() | Codecademy

   www.codecademy.com › resources › docs

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   2 kwi 2023 · In Pandas, .copy() is a method that creates a copy of a DataFrame or a Series. This method returns a fully independent copy of DataFrame or a shallow copy (see Shallow vs. Deep Copy section).