pandas: powerful Python data analysis toolkit - 0.13.1of an array. reshape(shape[, order]) Returns an array containing the same data with a new shape. resize(new_shape[, refcheck]) Change shape and size of array in-place. round([decimals, out]) Return a reshape for full documentation. See Also: numpy.reshape equivalent function pandas.Index.resize Index.resize(new_shape, refcheck=True) Change shape and size of array in-place. Parameters new_shape SystemError If the order keyword argument is specified. This behaviour is a bug in NumPy. See Also: resize Return a new array with the specified shape. Notes This reallocates space for the data area if0 码力 | 1219 页 | 4.81 MB | 1 年前3
pandas: powerful Python data analysis toolkit - 0.14.0of an array. reshape(shape[, order]) Returns an array containing the same data with a new shape. resize(new_shape[, refcheck]) Change shape and size of array in-place. round([decimals, out]) Return a reshape for full documentation. See Also: numpy.reshape equivalent function pandas.Index.resize Index.resize(new_shape, refcheck=True) Change shape and size of array in-place. Parameters new_shape SystemError If the order keyword argument is specified. This behaviour is a bug in NumPy. See Also: resize Return a new array with the specified shape. 1126 Chapter 28. API Reference pandas: powerful Python0 码力 | 1349 页 | 7.67 MB | 1 年前3
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