默认情况下,sort_values函数会按升序(ascending order)进行排序。如果你需要降序(descending order)排序,可以将ascending参数设置为False。 查看排序后的DataFrame以确保排序正确: 排序完成后,你可以通过打印DataFrame来检查排序结果是否符合预期。 下面是一个具体的代码示例: python import pandas as pd # 创建一个示例Dat...
Here, we will passascending = Falseas a parameter inside the "df.sort_values() method to sort in descending order. Let us understand with the help of an example, Python program to sort descending dataframe with pandas # Importing pandas packageimportpandasaspd# Creating a dictionaryd={'A':...
df.sort_values("SALES", ascending=False) # Sorts the data in descending order 5.4 数据透视表 使用特定列创建汇总数据的数据透视表。当只想考虑特定列的影响时,这对分析数据非常有用。 例如: pd.pivot_table(df, values="SALES", index="CITY", columns="YEAR_ID", aggfunc="sum") 详细解释如下: va...
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. ...
对DataFrame排序 df_obj = pd.DataFrame(np.arange(12).reshape(3, 4), index=[2, 1, 3]) print("df_obj:\n", df_obj) print("sort:\n", df_obj.sort_index()) print("Descending order:\n", df_obj.sort_index(axis=1, ascending=False)) #按columns进行降序排序 1 2 3 4 5 输出结果...
例子5:按多列但不同顺序对数据帧进行排序 # Sorting by columns "Country" in descending# order and then "Continent" in ascending orderdf.sort_values(by=['Country','Continent'],ascending=[False,True]) Python Copy 输出: 对Pandas数据框架进行排序...
Initial DataFrame:Pet Name Age(Years)4 Dog Rocky 32 Cat Luna 51 Rabbit Coco 53 Fish Finley 4DataFrame Sorted in Descending order based Index Values:Pet Name Age(Years)4 Dog Rocky 33 Fish Finley 42 Cat Luna 51 Rabbit Coco 5 它根据索引值按降序对pets_dfDataFrame 进行排序。
format(df)) # Sort the DataFrame by the year they joined (ascending) sort1 = df.sort_values('yearJoined') print('{}\n'.format(sort1)) # Sort the DataFrame by employeeID in descending order sort2 = df.sort_values('employeeID', ascending=False) print('{}\n'.format(sort2)) ...
`df.sort_index()` 是 Pandas DataFrame 对象的一个方法,用于根据索引对 DataFrame 进行排序。默认情况下,它会按照升序(ascending order)对索引进行排序,但你也可以通过参数指定降序(descending order)。 ### 基本用法 假设你有一个 DataFrame `df`,你可以直接调用 `df.sort_index()` 来根据索引进行排序: ...
#By default, pandas will sort the data by the column we specify in ascending order and return a new DataFrame#Sorts the DataFrame in-place, rather than returning a new DataFrame.对DataFrame进行就地排序,而不是返回新的DataFrame。print(food_info["Sodium_(mg)"]) ...