https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.unique.html
pandas.unique. #. pandas.unique(values) [source] #. Return unique values based on a hash table. Uniques are returned in order of appearance. This does NOT sort. Significantly faster than numpy.unique for long enough sequences. Includes NA values.

https://www.youtube.com/watch?v=hJ-hL83ep8s
Unique method, How to graft bougainvillea 4 easy steps#abygarden #beugainvilleagrafting#grafting grafting fruit treegrafting fruit trees with a drillbud graf

https://datagy.io/pandas-unique/
By default, the Pandas .unique() method can only be applied to a single column. This is because the method is a Pandas Series method, rather than a DataFrame method. In order to get the unique values of multiple DataFrame columns, we can use the .drop_duplicates() method. This will return a DataFrame of all of the unique combinations.

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.unique.html
Top-level unique method for any 1-d array-like object. Index.unique. Return Index with unique values from an Index object. Notes. Returns the unique values as a NumPy array. In case of an extension-array backed Series, a new ExtensionArray of that type with just the unique values is returned. This includes.

https://stackoverflow.com/questions/12897374/get-unique-values-from-a-list-in-python
all the top solutions work for the example of the question, but they don't answer the questions. They all use set, which is dependent on the types found in the list.e.g: d = dict();l = list();l.append (d);set(l) will lead to TypeError: unhashable type: 'dict.frozenset instead won't save you. Learn it the real pythonic way: implement a nested n^2 loop for a simple task of removing duplicates

https://www.geeksforgeeks.org/python-pandas-series-unique/
While analyzing the data, many times the user wants to see the unique values in a particular column, which can be done using Pandas unique() function. To download the CSV file used, Click Here. Syntax: Series.unique () Return Type: Numpy array of unique values in that column. In this example, unique () method is used to know all type of unique

https://www.sharpsightlabs.com/blog/pandas-unique/
Next, let's use the unique() method to get unique values. So in the previous example , we used the unique function to compute the unique values. But here, we're going to use the method (if you're confused about this, review our explanation of the function version and the method version in the section about syntax .)

https://www.geeksforgeeks.org/python-get-unique-values-list/
Get Unique Values from a List Using Set Method. Using set () property of Python, we can easily check for the unique values. Insert the values of the list in a set. Set only stores a value once even if it is inserted more than once. After inserting all the values in the set by list_set=set (list1), convert this set to a list to print it.

https://www.digitalocean.com/community/tutorials/get-unique-values-from-a-list-in-python
In order to get unique elements from a Python list, we will need to convert the list to NumPy array using the below command: Syntax: numpy.array(list-name) Copy. Next, we will use the numpy.unique () method to fetch the unique data items from the numpy array. and finally, we'll print the resulting list.

https://www.sparkcodehub.com/pandas-dataframe-unique-values
The unique() method is used directly on a Pandas Series to identify unique values: # Sample Data. # Fetch unique values print(df['Products'].unique()) This will output: The unique() method returns the unique values as a NumPy array. This can easily be converted to a list using tolist() if required. 3.

https://blog.finxter.com/5-best-ways-to-extract-unique-values-from-a-pandas-dataframe-column/
Method 1: Using unique() Method. The unique() method is a built-in pandas function that directly returns the unique values in the order they appear, which is useful for categorical data summarization. Here's an example: Output: This method is straightforward: the unique() function is called on the column 'colors' of the DataFrame.

https://www.programiz.com/python-programming/pandas/methods/unique
The unique() method returns an array containing the unique values found in the Series. Example1: Get Unique Elements of an Integer Series import pandas as pd # create a Series int_series = pd.Series([10, 20, 10, 30, 20, 40])

https://uniquecampingmarine.com/blogs/the-unique-method-series/introduction
The Unique Method is a proven, easy-to-follow approach to treating your RV wastewater holding tanks that will help you prevent problems before they happen. If you want to enjoy your RV without odors, clogs, or misreading sensors, you must do more than just dump a tank treatment down your toilet and walk away. The core of The Unique Method is a

https://www.w3resource.com/numpy/manipulation/unique.php
numpy.unique () function. The numpy.unique () function is used to find the unique elements of an array.Returns the sorted unique elements of an array. There are three optional outputs in addition to the unique elements: the indices of the input array that give the unique values. the indices of the unique array that reconstruct the input array.

https://www.geeksforgeeks.org/python-numpy-np-unique-method/
Python | Numpy np.unique () method. With the help of np.unique() method, we can get the unique values from an array given as parameter in np.unique() method. Return : Return the unique of an array. In this example we can see that by using np.unique() method, we are able to get the unique values from an array by using this method.

https://github.com/domaindrivendev/Swashbuckle.AspNetCore/issues/1713
Actions require a unique method/path combination for Swagger/OpenAPI 3.0. Use ConflictingActionsResolver as a workaround but clearly they are different routes, right? I'm not trying to differentiate the actions by query parameters or headers or anything like that.

https://www.w3schools.com/python/pandas/ref_df_nunique.asp
Definition and Usage. The nunique() method returns the number of unique values for each column.. By specifying the column axis (axis='columns'), the nunique() method searches column-wise and returns the number of unique values for each row.

https://stackoverflow.com/questions/25290481/groovy-remove-duplicate-from-list-using-unique-function
myList = myList.unique() or use toList() if you are using split() or cast the String array to a Set. However, based on the question you want to remove the duplicate items from list but I do not see any duplicate item. If you mean to remove duplicate strings from the list items then use: myList = myList.unique().collect { it.toSet().join() }

https://verificationacademy.com/forums/t/how-to-get-all-the-unique-elements-of-an-array/31910
For example, let's say the array is, int array = {2,5,6,5,1}; If you use the unique method, the output is, {2,5,6,1} Notice that the array size has reduced to 4. The elements are now unique. Index 4 of the original array has been removed because it is equal to index 1. This is not what I want.

https://stackoverflow.com/questions/47243397/sqlalchemy-joinedload-filter-column
The reason it is not working is that joinedload (and all the other relationship loading techniques) are meant to be entirely transparent. That is to say having a joinedload in your query should not affect it in any other way other than resulting in the relationships being filled. You should read "The Zen of Joined Eager Loading", which begins with: