values, x=df['折扣'].value_counts().index) <AxesSubplot:> 这是因为 value_counts 函数返回的是一个 Series 结果,而 pandas 直接画图之前,无法自动地对索引先进行排序,而 seaborn 则可以。 如果想坚持使用pandas(背后是matplotlib)画图,那么可以先将这个 Series 转换为 DataFrame,并对索引列进行重命名、排序,...
Pandas:count()与value_counts()对比 1. Series.value_counts(self, normalize=False, sort=True, ascending=False, bins=None, dropna=True) 返回一个包含所有值及其数量的 Series。 且为降序输出,即数量最多的第一行输出。 参数含义如下: 举例如下: import pandas as pd index = pd.Index([3, 1, 2, 3...
In this example, we load a sample dataset and group the data by column 'A'. We then count the number of unique values in column 'B' for each group using the nunique() method. The result is a pandas Series object that shows the number of unique values in column 'B' for each group...
'Y','Z','Y','X'],'Value':[1,2,1,3,2,3,2,4]})# 按Category分组并计算SubCategory和Value列的唯一值数量grouped_unique=df.groupby('Category').agg({'SubCategory':'nunique','Value':'nunique'})print("pandasdataframe.com
# count of each unique value in the "Gender" column print(df['Gender'].value_counts()) Output: Male 3 Female 2 Name: Gender, dtype: int64 In the above example, the pandas seriesvalue_counts()function is used to get the counts of'Male'and'Female', the distinct values in the column...
{'website':['pandasdataframe.com','pandasdataframe.com','example.com'],'visitor':['Alice','Bob','Alice'],'visits':[100,200,300]})# 使用agg函数结合nunique计算website和visitor列中唯一值的数量unique_values_agg=df.agg({'website':'nunique','visitor':'nunique'})print(unique_values_agg...
count values by grouping column in DataFrame using df.groupby().nunique(), df.groupby().agg(), and df.groupby().unique() methods in pandas library
方法3,直接采用Series的nunique方法 data3 = data.pivot_table(index='month',values='merchant',aggfunc=pd.Series.nunique) data3.reindex(['一月','二月','三月','四月','五月','六月','七月','八月','九月','十月','十一月','十二月']).reset_index() ...
Alternatively, we can use thepandas.Series.value_counts()method which is going to return a pandasSeriescontaining counts of unique values. >>> df['colB'].value_counts()15.0 3 5.0 2 6.0 1 Name: colB, dtype: int64 By default,value_counts()will return the frequencies for non-null values....
In pandas, for a column in a DataFrame, we can use thevalue_counts() methodto easily count the unique occurences of values. There's additional interesting analyis we can do withvalue_counts()too. We'll try them out using the titanic dataset. ...