iteritems():按列遍历 ,将DataFrame的每一列转化为(column, Series)对。column为列索引的值,Series为该列对应的数据。 print("===按行遍历===") for index,row_data in df.iterrows(): print(index,row_data) print("===按列遍历===") for col,col_data in df.iteritems(): print(col) 1. 2....
dataframe的创建一般有两种方式,一是通过字典创建,二是分别指定数据、行索引和列索引创建 pandas 的 DataFrame 方法需要传入一个可迭代的对象(列表,元组,字典等), 或者给 DataFrame 指定 index 参数就可以解决这个问题。 1.1.2 列表创建DataFrame import pandas as pd a = [1, 3, 5, 7, 9] # 创建单列 df1...
3.1.6、count(): 查询总行数 3.1.7、取别名: dataframe.column.alias('new_col_name') 3.1.8、查询数据框中某列为null的行 3.1.9、输出list类型,list中每个元素是Row类: 3.1.10、describe() 和 summary(): 查看数据框中数值型列的统计情况(stddev是标准差的意思) 3.1.11、distinct() 和 dropDuplicates(...
Dropping one or more entries from an axis is easy if you already hava an index array or list without those entries. As that can requier a bit of munging(操作) and set logic. The drop method will return a new object with the indecated value or values deleted from an axis: obj = pd...
value as first element of the tuple.DataFrame.lookup(row_labels, col_labels)Label-based “fancy indexing” function for DataFrame.DataFrame.pop(item)返回删除的项目DataFrame.tail([n])返回最后n行DataFrame.xs(key[, axis, level, drop_level])Returns a cross-section (row(s) or column(s)) from...
DataFrame.insert(loc, column, value[, …])在特殊地点插入行 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 namedtuples, with index value as first elem...
DataFrameRow 属性 方法 显式接口实现 DataFrameRowCollection DateTimeDataFrameColumn DecimalDataFrameColumn DoubleDataFrameColumn DropNullOptions 扩展 GroupBy GroupBy<TKey> Int16DataFrameColumn Int32DataFrameColumn Int64DataFrameColumn JoinAlgorithm PrimitiveDataFrameColumn<T> ...
("path/to/your/file.csv", header=True, inferSchema=True)# 按某一列进行分组,并进行聚合计算result = df.groupBy("column_name1...读取数据并创建 DataFrame:使用 spark.read.csv 方法读取 CSV 文件,并将其转换为 DataFrame。...按某一列进行分组:使用 groupBy("column_name1") 方法按 column_name1 ...
GetReadOnlyOffsetsBuffers GetValue GetValues GroupBy GroupColumnValues IsValid SetValue 排序 ToArrowArray ValueCounts BooleanDataFrameColumn ByteDataFrameColumn CharDataFrameColumn 数据帧 DataFrameColumn DataFrameColumnCollection DataFrameJoinExtensions DataFrameRow ...
at Get or set the value of the item with the specified label axes Returns the labels of the rows and the columns of the DataFrame bfill() Replaces NULL values with the value from the next row bool() Returns the Boolean value of the DataFrame columns Returns the column labels of the Dat...