WebBut Series.unique() works only for a single column. To simulate the select unique col_1, col_2 of SQL you can use DataFrame.drop_duplicates(): df.drop_duplicates() # col_1 … WebSep 12, 2024 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.

Finding and removing duplicate rows in Pandas DataFrame

WebApr 1, 2024 · 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. WebAug 19, 2024 · Method 1: Using for loop. The Dataframe has been created and one can hard coded using for loop and count the number of unique values in a specific column. … rounders if you can\u0027t spot the sucker

Pandas Count Distinct Values DataFrame - Spark by {Examples}

WebKeeping the row with the highest value. Remove duplicates by columns A and keeping the row with the highest value in column B. df.sort_values ('B', ascending=False).drop_duplicates ('A').sort_index () A B 1 1 20 3 2 40 4 3 10 7 4 40 8 5 20. The same result you can achieved with DataFrame.groupby () Webpandas.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. Parameters values 1d array-like Returns numpy.ndarray or ExtensionArray. The return can be: WebJan 18, 2024 · Find and Count Unique Values in a Column. The following code shows how to find and count the occurrence of unique values in a single column of the DataFrame: … rounders how many players