pandas.DataFrame.sort_values() function can be used to sort (ascending or descending order) DataFrame by axis. This method takesby,axis,ascending,inplace,kind,na_position,ignore_index, andkeyparameters and returns a sorted DataFrame. Useinplace=Trueparam to apply to sort on existing DataFrame. ...
food_info.sort_values("Sodium_(mg)", inplace=True) print food_info["Sodium_(mg)"] #Sorts by descending order, rather than ascending. food_info.sort_values("Sodium_(mg)", inplace=True, ascending=False) print food_info["Sodium_(mg)"] 760 0.0 610 0.0 611 0.0 8387 0.0 8607 0.0 629...
food_info.sort_values("Sodium_(mg)", inplace=True)#默认对"Sodium_(mg)"这一列从小到大进行排序print(food_info["Sodium_(mg)"])#Sorts by descending order, rather than ascending.按降序排序,而不是升序排序。food_info.sort_values("Sodium_(mg)", inplace=True, ascending=False)print(food_info...
inplace=True表示重新建立新的列printfood_info["Sodium_(mg)"]#Sorts by descending order, rather than ascending.food_info.sort_values("Sodium_(mg)", inplace=True, ascending=False)#ascending=True表示升序,ascending=Flast表示降序printfood_info["Sodium_(mg)"]...
#Sorts by descending order, rather than ascending. food_info.sort_values("Sodium_(mg)", inplace=True, ascending=False) print (food_info["Sodium_(mg)"]) # 注意:NaN——>Not a Number,缺失值 1. 2. 3. 4. 5. 4、判断数值是否为空 ...
1.2 DataFrame.sort_values() by:strorlistofstr||Nameorlistofnamestosortby.# by是区别于Series的部分axis:{0or‘index’,1or‘columns’},default0ascending:boolorlistofbool,defaultTrueSortascendingvs.descending.Specifylistformultiplesortorders.Ifthisisalistofbools,mustmatchthelengthoftheby.inplace:bool...
sort_values(): Pandas 提供的一个方法,用于根据指定列的值对 DataFrame 进行排序。 类型 升序排序(Ascending): 默认排序方式,从小到大。 降序排序(Descending): 从大到小。 应用场景 时间序列数据分析: 如股票价格、天气记录等。 日志文件处理: 需要按照时间顺序查看事件。 用户行为分析: 按照用户活动的时间顺序进...
新语法（二者之一）：
by: column or list of columns to sort DataFrame by. axis: either 1 or 0, means row-wise or column-wise ascending: if true, it will sort in ascending order or vice-versa. Here, we will passascending = Falseas a parameter inside the "df.sort_values() method to sort in descending or...
(by=['Age', 'Score'], ascending=[True, False]) # 打印排序后的DataFrame print("Sorted by Age Ascending:") print(df_sorted_by_age_asc) print(" Sorted by Score Descending:") print(df_sorted_by_score_desc) print(" Sorted by Age Ascending then Score Descending:") print(df_sorted_...