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...
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...
1.4 DataFrame.ndim/Series.ndim 返回一个表示轴数/数组维数的 int. 如果系列返回 1。否则,如果是 DataFrame,则返回 2。 See also:ndarray.ndim Number of array dimensions. 参数:无 返回值:数字 >>>s = pd.Series({'a': 1, 'b': 2, 'c': 3}) >>> s.ndim 1 >>>df = pd.DataFrame({'col...
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':...
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...
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。
输出: # Create a new column with Marks # ranked in descending order df['Mark_Rank'] = df['Marks'].rank(ascending = 0) # Set index to newly created column df = df.set_index('Mark_Rank') print(df) 输出: # Sort the DataFrame based on the index df = df.sort_index() print(df...
# check for any missing data in the df (display in descending order) return df.isnull().sum().sort_values(ascending=False) 删除列中的字符串 有时候,会有新的字符或者其他奇怪的符号出现在字符串列中,这可以使用df[‘col_1’].replace很简单地把它们处理掉。
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。
代码#2:先按数学排序,然后按英语排序。 # import modulesimportpandasaspd# create dataframedata={'name':['Simon','Marsh','Gaurav','Alex','Selena'],'Maths':[8,5,6,9,7],'Science':[7,9,5,4,7],'English':[7,4,7,6,8]}df=pd.DataFrame(data)# Sort the dataframe’s rows by Maths#...