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 retu
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...
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...
# Sort by 'category' (ascending) and 'unit_price' (descending) sorted_df = df.sort_values(by=['category', 'unit_price'], ascending=[True, False]) print(sorted_df.head()) Thesort_values()method sorts the DataFrame by the 'category' column in ascending order and the 'unit_price' co...
1.2 DataFrame.sort_values() by:str or list of str || Name or list of names to sort by. # by是区别于Series的部分 axis:{0 or ‘index’, 1 or ‘columns’}, default 0 ascending:bool or list of bool, default True Sort ascending vs. descending. Specify list for multiple sort orders....
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。
(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_...
Sort by the values along either axis 参数: by : str or list of str Name or list of names which refer to the axis items. axis : {0 or ‘index’, 1 or ‘columns’}, default 0 Axis to direct sorting ascending : bool or list of bool, default True Sort ascending vs. descending. Sp...
#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 ...
#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 0.0 630 0.0 631 0.0 6470 0.0 654 0.0 8599 0.0 633 0.0 634 0.0 635 0.0 637 0.0 ...