GroupBy
GroupBy is a useful tool for data grouping and aggregation in DolphinDB pandas. With GroupBy, users can group data based on a single column or more, and apply a function (such as aggregation, transformation, or filtering) to each group independently.
Note:
-
All group-by columns must be of the same data type.
-
The GroupBy calculation results of all functions (other than
cumcount
) are sorted in a different order from the original input. The order within each group remains the same as the original, while that across groups is determined by the GroupBy column(s).
Function Application
Function |
Compatibility Statement |
apply |
Computations / Descriptive Statistics
Function |
Compatibility Statement |
---|---|
rolling | Only parameters window and min_periods are supported. |
cumprod | No parameter is supported. |
cumsum | No parameter is supported. |
diff | No parameter is supported. |
max | Only the parameter numeric_only is supported. |
min | Only the parameter numeric_only is supported. |
mean | Only the parameter numeric_only is supported. |
std | Only the parameter numeric_only is supported. |
sum | The sum of literal data or data of POINT, UUID, IPADDR, INT128, or COMPLEX type returns NULL. |
shift | The parameter axis is not supported. |
var | Only the parameter numeric_only is supported. |