已信任 Jupyter 服务器: 本地 Python 3: Not Started [1] import pandas as pd import numpy as np [4] # 表格函数的自定义 # 将df中所有的元素加2 def add(ele1,ele2): return ele1+ele2 df = pd.DataFrame(np.random.randn(5,3), columns=['col1','col2','col3']) df col1 col2 col3 0 -1.444341 -0.354099 -0.744866 1 0.381602 -0.858716 -0.258652 2 -1.215713 0.058596 0.818322 3 0.750133 1.183576 -0.414067 4 1.929578 1.520465 0.356050 [5] # 自定义管道函数 df.pipe(add,2) col1 col2 col3 0 0.555659 1.645901 1.255134 1 2.381602 1.141284 1.741348 2 0.784287 2.058596 2.818322 3 2.750133 3.183576 1.585933 4 3.929578 3.520465 2.356050 [7] # 按列求平均apply() df.apply(np.mean) col1 0.080252 col2 0.309964 col3 -0.048642 dtype: float64 [9] # 设置轴长，按行 df.apply(np.std, axis=1) 0 0.450998 1 0.506447 2 0.839202 3 0.674594 4 0.666602 dtype: float64 [10] # 每个元素进行一次操作 df.applymap(lambda x:x*100) col1 col2 col3 0 -144.434121 -35.409873 -74.486626 1 38.160219 -85.871639 -25.865169 2 -121.571271 5.859575 81.832235 3 75.013306 118.357622 -41.406672 4 192.957780 152.046490 35.604997 [-]