In the above example, thetranspose()function returns a new array with the axes switched. In the case of the 2D array like our list, the rows and columns have been swapped. You will notice that all three examples
Rows.count ncol1 = ws.api.UsedRange.Columns.count print(nrow1) # 2 print(ncol1) # 3 rng = ws.range('A1').expand() nrow2 = rng.last_cell.row ncol2 = rng.last_cell.column print(nrow2) # 3 print(ncol2) # 1 (I) 如果整张表为空,上述代码输出是怎样的呢? (II)数据文件...
DataFrame.nlargest(n, columns[, keep]) #Get the rows of a DataFrame sorted by the n largest values of columns. DataFrame.nsmallest(n, columns[, keep]) #Get the rows of a DataFrame sorted by the n smallest values of columns. DataFrame.swaplevel([i, j, axis]) #Swap levels i and j ...
Transpose index and columns DataFrame.to_panel() Transform long (stacked) format (DataFrame) into wide (3D, Panel) format. DataFrame.to_xarray() Return an xarray object from the pandas object. DataFrame.transpose(*args, **kwargs) Transpose index and columns ...
first_rows = food_info.head(3) 1. 2. 3. 由于DataFrame包含了很多的行和列, Pandas使用省略号(...)来代替显示全部的行和列,可以使用colums属性来显示全部的列名 print(food_info.columns) 1. # 输出:输出全部的列名,而不是用省略号代替 Index(['NDB_No', 'Shrt_Desc', 'Water_(g)', 'Energ_Kca...
rng.columns.autofit() '高度自适应' rng.rows.autofit() 12. 合并 12-1.合并单元格 rng.merge(across=False) 参数across默认为False,如果为True,则实现跨越合并 注意:执行合并单元格时,会出现如下提示框,需要手动点击: 12-2.返回所在合并单元格区域 ...
DataFrame.mask(cond[, other, inplace, axis, …])Return an object of same shape as self and whose corresponding entries are from self where cond is False and otherwise are from other. DataFrame.query(expr[, inplace])Query the columns of a frame with a boolean expression. ...
SkipBlanks:=False, Transpose:=False 这次,我们可以用上面的方法得到xlPasteAll、xlMultiply等常量的值,将上面的代码python化即可; 利用这个方法,我们还可以很轻易得到某一列的最后一行的行号,比如A列的,可以这样写: max_rowA=sht.cells(sht.Rows.Count,1).End(-4162).Row ...
由于NumPy 提供了全面且有文档的 C API,因此将数据传递给用低级语言编写的外部库,以及让外部库将数据作为 NumPy 数组返回给 Python 是很简单的。这个特性使 Python 成为封装传统 C、C++或 FORTRAN 代码库并为其提供动态和可访问接口的首选语言。 虽然NumPy 本身并不提供建模或科学功能,但了解 NumPy 数组和面向数组...
transpose()Transposes the rows and columns of a matrix.>>> from pipe import transpose >>> [[1, 2, 3], [4, 5, 6], [7, 8, 9]] | transpose [(1, 4, 7), (2, 5, 8), (3, 6, 9)] >>>traverseRecursively unfold iterables:...