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...
df_sorted_desc = df.sort_index(ascending=False) print("降序排序后的 DataFrame: ", df_sorted_desc) ### 原地排序(in-place) 默认情况下,`df.sort_index()` 会返回一个新的排序后的 DataFrame,而不会修改原始的 DataFrame。如果你想要直接修改原始的 DataFrame,可以使用 `inplace=True` 参数: # 原地...
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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...
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':...
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...
# Sorts the DataFrame in-place, rather than returning a new DataFrame. #print food_info["Sodium_(mg)"] food_info.sort_values("Sodium_(mg)", inplace=True) print food_info["Sodium_(mg)"] #Sorts by descending order, rather than ascending. ...
ascending :Sort ascending vs. descending inplace :if True, perform operation in-place i.e changes in actual dataframe otherwise return a sorted dataframe. kind :{‘quicksort’, ‘mergesort’, ‘heapsort’}, default ‘quicksort’. Choice of sorting algorithm. See also ndarray.np.sort for mor...
16. Write a Pandas program to sort the DataFrame first by 'name' in descending order, then by 'score' in ascending order. Sample Python dictionary data and list labels: exam_data = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', '...
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。