在pandas库中,要对DataFrame按照某一列进行排序,可以使用sort_values()方法,并传递需要排序的列名作为参数。例如:sorted_dataframe = dataframe.sort_values('column_name') 这将按照列column_name的值对DataFrame中的行进行排序,返回一个新的排序后的DataFrame。 其他选项的解释: B. dataframe.sort_by('column_...
B df.sort_values(by='Column_Name') C df.sort_by('Column_Name') D df.order_by('Column_Name') 相关知识点: 试题来源: 解析 答案:B 在Pandas中,要按照特定列对DataFrame进行排序,可以使用sort_values()方法。这个方法允许我们按照DataFrame中的一个或多个列的值进行排序。其中,参数by用于指定按照哪...
>>> import pandas as pd >>> column_subset = [ ... "id", ... "make", ... "model", ... "year", ... "cylinders", ... "fuelType", ... "trany", ... "mpgData", ... "city08", ... "highway08" ... ] >>> df = pd.read_csv( ... "https://www.fueleconomy....
>>>importpandasaspd>>>column_subset=[..."id",..."make",..."model",..."year",..."cylinders",..."fuelType",..."trany",..."mpgData",..."city08",..."highway08"...]>>>df=pd.read_csv(..."https://www.fueleconomy.gov/feg/epadata/vehicles.csv",...usecols=column_subset...
# r sort dataframe by column # filter larger data frame to specific set of records birds <- ChickWeight[ChickWeight$Time ==21,] We’ve got a total of 45 birds in the set, by the way. Lets start by sorting them into order (eg.order dataframe by column) : ...
<class 'pandas.core.frame.DataFrame'> RangeIndex: 3 entries, 0 to 2 Data columns (total 2 columns): # Column Non-Null Count Dtype --- --- --- --- 0 a 3 non-null object 1 b 3 non-null object dtypes: object(2) 1.
百度试题 结果1 题目DataFrame. sort ___ values(by='column')的默认排 序方式是什么? A 升序 B 数值大小 C 降序 D 随机 相关知识点: 试题来源: 解析 A 反馈 收藏
Sort(Column[]) 傳回依指定運算式排序的新DataFrame。 Sort(String, String[]) 傳回依指定資料行排序的新DataFrame,全部以遞增順序排序。 C# publicMicrosoft.Spark.Sql.DataFrameSort(stringcolumn,paramsstring[] columns); 參數 column String 要排序依據的資料行名稱 ...
Typically, you want to sort the rows in a DataFrame by the values of one or more columns: The figure above shows the results of using .sort_values() to sort the DataFrame’s rows based on the values in the highway08 column. This is similar to how you would sort data in a ...
Sort in Ascending order The syntax to sort a data frame in ascending order is </> Copy dataframe_name[with(dataframe_name, order(column_name)), ] Example 1 – Sort Data Frame in Ascending Order In this example, we will sort our data frame in ascending order. ...