Скачать или смотреть pandas adding column to dataframe 5 methods

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sure! here are five methods to add a column to a pandas dataframe, complete with code examples for each.

method 1: using direct assignment

you can add a new column to a dataframe by simply assigning a new value to a new column name.



method 2: using `assign()`

the `assign()` method allows you to add new columns in a more functional style. it returns a new dataframe with the added column(s).



method 3: using `insert()`

the `insert()` method allows you to add a column at a specific position in the dataframe.



method 4: using `loc[]`

you can also add a new column using the `.loc[]` indexer. this is useful when you want to create a new column based on conditions or operations on existing columns.



method 5: using `apply()`

using the `apply()` function allows you to create a new column based on a function applied to the rows of the dataframe.



summary

1. **direct assignment**: simple and straightforward method for adding a column.
2. **`assign()`**: offers a functional approach, returning a new dataframe.
3. **`insert()`**: allows for adding a column at a specific index.
4. **`loc[]`**: useful for adding columns based on conditions.
5. **`apply()`**: allows for complex operations by applying a function to each row.

these methods provide a variety of ways to manipulate dataframes in pandas, catering to different needs and preferences.

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