Unique values of Series object in Pandas The unique() function is used to get unique values of Series object. Uniques are returned in order of appearance. Hash table-based unique, therefore does NOT sort. Syntax: Series.unique(self) Returns:ndarray or ExtensionArray The unique values returned ...
使用Pandas中的apply()方法,将nunique()方法应用于DataFrame中的每一列,返回的是唯一值的个数。 unique_values = df.apply(pd.Series.nunique)print(unique_values) Name3Age3Gender2dtype: int64
The Pandas Series.unique method returns the unique values in the Python Pandas Series. The values are ordered by the appearance.
返回的unique values不是有序的，但我们可以排序，uniques.sort（）。相对的，value＿counts能计算series...
Pandas unique函数 Pandas中Series对象的唯一值 unique()函数用于获取Series对象的唯一值。 唯一性按出现顺序返回。基于哈希表的唯一,因此不排序 以NumPy数组形式返回唯一值。如果是扩展数组支持的Series,则返回仅具有唯一值的该类型的新ExtensionArray The unique() function is used to get unique values of Series ...
The Pandas Unique technique identifies the unique values of a Pandas Series. So if we have a Pandas series (either alone or as part of a Pandas dataframe) we can use thepd.unique()technique to identify the unique values. At a high level, that’s all theunique()technique does, but ther...
指出unique方法是Series对象的属性,而非DataFrame: unique 方法用于返回 Series 中所有唯一值的数组。如果你需要对 DataFrame 中的某一列使用 unique 方法,你需要先获取该列的 Series 对象。 提供将DataFrame列转换为Series对象并调用unique方法的示例代码: python unique_values_in_column_A = df['A'].unique() ...
unique_arr = np.unique(arr) print(unique_arr) # output: [0 1 2 3 4 5] import pandas as pd # create a sample pandas Seriesdata = pd.Series([1, 2, 2, 3, 3, 3, None]) # compute the number of unique values in the Series ...
import pandas as pd # Create a Series object my_series = pd.Series([1, 2, 3, 1, 2, 4, 5, 1, 3, 5]) # Get the unique values unique_values = my_series.unique() print(unique_values) Output: [1, 2, 3, 4, 5] In the above example, we first create a Pandas Series object...
Pandas Series.unique()While working with the DataFrame in Pandas, you need to find the unique elements present in the column. For doing this, we have to use the unique() method to extract the unique values from the columns. The Pandas library in Python can easily help us to find unique...