o select rows whose column value equals a scalar,some_value, use==: df.loc[df['column_name'] == some_value] To select rows whose column value is in an iterable,some_values, useisin: df.loc[df['column_name'].isin(some_values)] Combine multiple conditions with&: df.loc[(df['colum...
You can also use the .isin() method to select rows based on whether the value in a certain column is in a list of values. For example:# Select rows where column 'A' has a value in the list [1, 3] df_subset = df.loc[df['A'].isin([1, 3])] print(df_subset) Copy ...
A step-by-step Python code example that shows how to select rows from a Pandas DataFrame based on a column's values. Provided by Data Interview Questions, a mailing list for coding and data interview problems.
val kvDF = Seq((1,2),(3,4)).toDF("key","value") // 要在一个DataFrame中显示列名,可以调用columns函数 kvDF.columns // 以不同的方式选择特定的列 kvDF.select("key").show // 列为字符串类型 kvDF.select(col("key")).show // col是内置函数,它返回Column类型 kvDF.select(column("key"...
Python program to select row by max value in group # Importing pandas packageimportpandasaspd# Importing numpy packageimportnumpyasnp# Creating a dictionaryd={'A':[1,2,3,4,5,6],'B':[3000,3000,6000,6000,1000,1000],'C':[200,np.nan,100,np.nan,500,np.nan] }# Creating a DataFrame...
方法描述DataFrame.head([n])返回前n行数据DataFrame.at快速标签常量访问器DataFrame.iat快速整型常量访问器DataFrame.loc标签定位DataFrame.iloc整型定位DataFrame.insert(loc, column, value[, …])在特殊地点插入行DataFrame.iter()Iterate over infor axisDataFrame.iteritems()返回列名和序列的迭代器DataFrame.iterrows(...
df.iloc[where_i, where_j] indtege行列索引 df.at[label_i, label_j] 通过行列的label来取值 df.iat[i, j] 行列位置来选取 reindex method Select either rows or columns by labels get_value, setvalue methods Select single value by row and column label Integer Indexes...
DataFrame.insert(loc, column, value) #在特殊地点loc[数字]插入column[列名]某列数据 DataFrame.iter() #Iterate over infor axis DataFrame.iteritems() #返回列名和序列的迭代器 DataFrame.iterrows() #返回索引和序列的迭代器 DataFrame.itertuples([index, name]) #Iterate over DataFrame rows as namedtuple...
df['Is_Duplicate'] = df.duplicated() 查看添加了新列的DataFrame: 代码语言:txt 复制 print(df) 这样,新的列"Is_Duplicate"将会显示每一行数据是否为重复数据,True表示重复,False表示不重复。 对于以上问题,腾讯云没有特定的产品和产品介绍链接地址与之相关。 相关搜索:...
from pyspark.sql import functions as Fdf.select(df.name, F.when(df.age > 4, 1).when(df.age < 3, -1).otherwise(0)) .otherwise(value):value 为一个字面量值,或者一个Column 表达式 八、GroupedDataGroupedData 通常由DataFrame.groupBy() 创建,用于分组聚合 ...