- The classic
+,-and*operators:>>> df = pd.DataFrame( ... columns=["City", "A", "B", "C", "D"], ... data=[ ... ("Berlin", 15.0, 10.0, 10.1, 1.0), ... ("London", 24.0, 16.0, 20.5, 3.14), ... ("New York", -27.0, 15.0, 30.7, 10.0), ... ("Paris", 0.0, 0.0, 0.0, 0.0), ... ], ... ) >>> table = session.read_pandas(df, keys={"City"}, table_name="Math") >>> cube = session.create_cube(table) >>> l, m = cube.levels, cube.measures >>> m["Sum"] = m["A.SUM"] + m["B.SUM"] >>> m["Subtract"] = m["A.SUM"] - m["B.SUM"] >>> m["Multiply"] = m["A.SUM"] * m["B.SUM"] >>> cube.query( ... m["A.SUM"], ... m["B.SUM"], ... m["Sum"], ... m["Subtract"], ... m["Multiply"], ... levels=[l["City"]], ... ) A.SUM B.SUM Sum Subtract Multiply City Berlin 15.00 10.00 25.00 5.00 150.00 London 24.00 16.00 40.00 8.00 384.00 New York -27.00 15.00 -12.00 -42.00 -405.00 Paris .00 .00 .00 .00 .00 - The float division
/and integer division//:>>> m["Float division"] = m["A.SUM"] / m["B.SUM"] >>> m["Int division"] = m["A.SUM"] // m["B.SUM"] >>> cube.query( ... m["A.SUM"], ... m["B.SUM"], ... m["Float division"], ... m["Int division"], ... levels=[l["City"]], ... ) A.SUM B.SUM Float division Int division City Berlin 15.00 10.00 1.50 1.00 London 24.00 16.00 1.50 1.00 New York -27.00 15.00 -1.80 -2.00 Paris .00 .00 NaN NaN - The exponentiation
**:>>> m["a²"] = m["A.SUM"] ** 2 >>> cube.query(m["A.SUM"], m["a²"], levels=[l["City"]]) A.SUM a² City Berlin 15.00 225.00 London 24.00 576.00 New York -27.00 729.00 Paris .00 .00 - The modulo
%:>>> m["Modulo"] = m["A.SUM"] % m["B.SUM"] >>> cube.query(m["A.SUM"], m["B.SUM"], m["Modulo"], levels=[l["City"]]) A.SUM B.SUM Modulo City Berlin 15.00 10.00 5.00 London 24.00 16.00 8.00 New York -27.00 15.00 3.00 Paris .00 .00 NaN
abs | Return a measure equal to the absolute value of the passed measure. |
ceil | Return a measure equal to the smallest integer that is >= to the passed measure. |
cos | Return a measure equal to the cosine of the passed measure in radians. |
erf | Return the error function of the input measure. |
erfc | Return the complementary error function of the input measure. |
exp | Return a measure equal to the exponential value of the passed measure. |
floor | Return a measure equal to the largest integer <= to the passed measure. |
isnan | Return a measure equal to True when the passed measure is NaN and to False otherwise. |
log | Return a measure equal to the natural logarithm (base e) of the passed measure. |
log10 | Return a measure equal to the base 10 logarithm of the passed measure. |
max | Return a measure equal to the maximum of the passed arguments. |
min | Return a measure equal to the minimum of the passed arguments. |
round | Return a measure equal to the closest integer to the passed measure. |
sin | Return a measure equal to the sine of the passed measure in radians. |
sqrt | Return a measure equal to the square root of the passed measure. |
tan | Return a measure equal to the tangent of the passed measure in radians. |