pandas.DataFrame对象解析

excel_data = pd.read_excel("test.xlsx")

method解析

add()方法：类似加法运算（相加的元素必须是同一对象的数据）

 |  add(self, other, axis='columns', level=None, fill_value=None)
 |      Addition of dataframe and other, element-wise (binary operator `add`).
 |      
 |      Equivalent to ``dataframe + other``, but with support to substitute a fill_value for
 |      missing data in one of the inputs.
 |      
 |      Parameters
 |      ----------
 |      other : Series, DataFrame, or constant
 |      axis : {0, 1, 'index', 'columns'}
 |          For Series input, axis to match Series index on
 |      level : int or name
 |          Broadcast across a level, matching Index values on the
 |          passed MultiIndex level
 |      fill_value : None or float value, default None
 |          Fill existing missing (NaN) values, and any new element needed for
 |          successful DataFrame alignment, with this value before computation.
 |          If data in both corresponding DataFrame locations is missing
 |          the result will be missing

pandas.DataFrame.add方法