关于shape和axis的使用
我自己对shape和axis的理解：shape表示的是维度，表示顺序是从外到内，比如一个Dataframe的形状是（4,5）那么shape=4即Dataframe有4行，shape=5即Dataframe有5列P53，指出axis指定的是数组将会被折叠的维度，而不是将要返回的维度
如图所示：
https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWctYmxvZy5jc2RuaW1nLmNuLzIwMjEwODE0MTcxMTQ3MTgxLnBuZz94LW9zcy1wcm9jZXNzPWltYWdlL3dhdGVybWFyayx0eXBlX1ptRnVaM3BvWlc1bmFHVnBkR2ssc2hhZG93XzEwLHRleHRfYUhSMGNITTZMeTlpYkc5bkxtTnpaRzR1Ym1WMEwwTnNiM1psY2tobFlYSjBjdz09LHNpemVfMTYsY29sb3JfRkZGRkZGLHRfNzA=https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWcyMDIyLmNuYmxvZ3MuY29tL2Jsb2cvMjc5Mzc0NS8yMDIyMDcvMjc5Mzc0NS0yMDIyMDcyOTExMzk1MDg1My0xNDA5ODQzMzIwLmdpZg==编辑
axis是跨某一维度进行数据操作，用上面的例子求和，当axis=0时表示跨行操作也就是每列数据之和，当axis=1是表示跨列操作也就是每行数据之和。
如图所示：
https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWctYmxvZy5jc2RuaW1nLmNuLzIwMjEwODE0MTcxMDU0NzM4LnBuZz94LW9zcy1wcm9jZXNzPWltYWdlL3dhdGVybWFyayx0eXBlX1ptRnVaM3BvWlc1bmFHVnBkR2ssc2hhZG93XzEwLHRleHRfYUhSMGNITTZMeTlpYkc5bkxtTnpaRzR1Ym1WMEwwTnNiM1psY2tobFlYSjBjdz09LHNpemVfMTYsY29sb3JfRkZGRkZGLHRfNzA=https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWcyMDIyLmNuYmxvZ3MuY29tL2Jsb2cvMjc5Mzc0NS8yMDIyMDcvMjc5Mzc0NS0yMDIyMDcyOTExMzk1MDg1My0xNDA5ODQzMzIwLmdpZg==编辑
三维数组同样如此
https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWctYmxvZy5jc2RuaW1nLmNuLzIwMjEwODE0MTcyMzQxMTExLnBuZz94LW9zcy1wcm9jZXNzPWltYWdlL3dhdGVybWFyayx0eXBlX1ptRnVaM3BvWlc1bmFHVnBkR2ssc2hhZG93XzEwLHRleHRfYUhSMGNITTZMeTlpYkc5bkxtTnpaRzR1Ym1WMEwwTnNiM1psY2tobFlYSjBjdz09LHNpemVfMTYsY29sb3JfRkZGRkZGLHRfNzA=https://dis.qidao123.com/imgproxy/aHR0cHM6Ly9pbWcyMDIyLmNuYmxvZ3MuY29tL2Jsb2cvMjc5Mzc0NS8yMDIyMDcvMjc5Mzc0NS0yMDIyMDcyOTExMzk1MDg1My0xNDA5ODQzMzIwLmdpZg==编辑
shape表示有2个二维数组，axis=0表示跨三维操作数据即 0+12，1+13，2+14以此类推
有错请指出
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