# 显示所有的列 pd.set_option('display.max_columns', None) # 显示所有的行 pd.set_option('display.max_rows', None) # 设置value的显示长度为100,默认为50 pd.set_option('max_colwidth', 1000) pd.set_option('display.width', None)
np.set_printoptions(precision=None, threshold=None, edgeitems=None, linewidth=None, suppress=None, nanstr=None, infstr=None)
precision : int, optional,float输出的精度,即小数点后维数,默认8( Number of digits of precision for floating point output (default 8))
threshold : int, optional,当数组数目过大时,设置显示几个数字,其余用省略号(Total number of array elements which trigger summarization rather than full repr (default 1000).)
edgeitems : int, optional,边缘数目(Number of array items in summary at beginning and end of each dimension (default 3)).
linewidth : int, optional,The number of characters per line for the purpose of inserting line breaks (default 75).
suppress : bool, optional,是否压缩由科学计数法表示的浮点数(Whether or not suppress printing of small floating point values using scientific notation (default False).)
nanstr : str, optional,String representation of floating point not-a-number (default nan).
infstr : str, optional,String representation of floating point infinity (default inf).
np.set_printoptions(threshold=np.nan)
设置打印时显示方式,threshold=np.nan意思是输出数组的时候完全输出,不需要省略号将中间数据省略
>>> np.set_printoptions(precision=4) >>> print np.array([1.123456789]) [ 1.1235] >>> np.set_printoptions(threshold=5) >>> print np.arange(10) [0 1 2 ..., 7 8 9] >>> eps = np.finfo(float).eps >>> x = np.arange(4.) >>> x**2 - (x + eps)**2 array([ -4.9304e-32, -4.4409e-16, 0.0000e+00, 0.0000e+00]) >>> np.set_printoptions(suppress=True) >>> x**2 - (x + eps)**2 array([-0., -0., 0., 0.])