(★☆☆)np.array(0) / np.array(0) nan np.array(0) // np.array(0) 0 np.array([np.nan]).astype(int).astype(float) -2.14748365e+09 29. 如何从零位开始舍入浮点数组?(★☆☆) (提示: np.uniform, np.copysign, np.ceil, np.abs) # Author: Charles R Harris Z = np.random.unifor...
nan])) print(0.3 == 3 * 0.1) 18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆) 创建一个5*5矩阵,对角线下方值为1,2,3,4 Z = np.diag(1+np.arange(4),k=-1) print(Z) 19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)...
我们可以将缺失值保留为当前的0值。 但是,通常将它们设置为NaN较为安全,以避免造成混淆。 将缺失值设置为NaN,如下所示: 代码语言:javascript 复制 highs[highs == 0] = np.nan lows[lows == 0] = np.nan 使用nanmin(),nanmax(),nanmean()和nanstd()函数计算范围,最小值,最大值,均值和标准差: 代码...
np.array(0) /np.array(0) nan np.array(0) // np.array(0) 0 np.array([np.nan]).astype(int).astype(float) -2.14748365e+09 29. 如何从零位开始舍入浮点数组?(★☆☆) (提示: np.uniform, np.copysign, np.ceil, np.abs) # Author: Charles R Harris Z = np.random.uniform(-10,+10...
backward fill: TO do those in code, we can use numpy's 'fillna()' mathod: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html?highlight=fillna#pandas.DataFrame.fillna """Fill missing values"""importnumpy as npimportpandas as pdimportmatplotlib.pyplot as pltimp...
print(np.nan - np.nan) print(np.nan in set([np.nan])) print(0.3 == 3 * 0.1) 18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆) Z = np.diag(1+np.arange(4),k=-1) print(Z) 19. Create a 8x8 matrix and fill it with a checkerboard pattern ...
nan])) print(0.3 == 3 * 0.1) 18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆) 创建一个5*5矩阵,对角线下方值为1,2,3,4 代码语言:javascript 复制 Z = np.diag(1+np.arange(4),k=-1) print(Z) 19. Create a 8x8 matrix and fill it with a ...
0 * np.nan nan np.nan == np.nan False np.inf > np.nan False np.nan - np.nan nan 0.3 == 3 * 0.1 False 18. 创建一个 5x5的矩阵,并设置值1,2,3,4落在其对角线下方位置 (★☆☆) (提示: np.diag)Z = np.diag(1+np.arange(4),k=-1) ...
forward fill: backward fill: TO do those in code, we can use numpy's 'fillna()' mathod: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.html?highlight=fillna#pandas.DataFrame.fillna """Fill missing values"""importnumpy as npimportpandas as pdimportmatplotlib.py...
>>> array_w_inf=np.full_like(array,fill_value=np.pi,dtype=np.float32) >>> array_w_inf array([[3.1415927,3.1415927,3.1415927,3.1415927], [3.1415927,3.1415927,3.1415927,3.1415927], [3.1415927,3.1415927,3.1415927,3.1415927]],dtype=float32) ...