Version updates - Development| Alibaba Cloud Documentation Center

This topic describes the latest version updates of Mars, including the new and enhanced features in a specific version of Mars.

The following table describes the latest version updates of Mars. For more information, visit the URL of the related version.


Version	Change type	Description
v0.6.1	New feature	Tensor When a tensor is converted into a sparse tensor, values other than 0 can be specified for missing parameters. For more information, see Support 'missing' argument for 'tensor.tosparse()' and 'fill_value' argument for 'sparse_tensor.todense()'(#1802). DataFrame The replace API is added. For more information, see Implements {DataFrame,Series}.replace(#1765). The cartesian_chunk API is added to calculate the Cartesian product on two DataFrame objects and apply a function to each chunk. This API is an extension to the pandas API. For more information, see Add '{DataFrame, Series}.cartesian_chunk' support(#1777). String concatenation is optimized for aggregation and group aggregation. For more information, see Integrate 'str.cat' into reduction and groupby-aggregation(#1781). The level parameter is supported in aggregate functions. For more information, see Implements reduction with 'level' argument(#1784).
v0.6.0	Compatibility	Aggregation and group aggregation are rewritten. If the Mars client of an early version connects to the Mars server of this version, these features may fail.
	New feature	DataFrame: The `num_partitions` parameter is supported during DataFrame initialization. For more information, see Support 'num_partitions' argument for DataFrame initializers(#1733). Named aggregation is supported. For more information, see Add support for named aggregations(#1748).
	Enhanced feature	The `groupby()` and agg() functions are unified in ReductionCompiler. For more information, see Unify groupby.agg() using ReductionCompiler(#1739).
	Fixed issue	md.read_csv is fixed to prevent the error that may occur if both names and usecols are specified. For more information, see Fix 'md.read_csv' when names and usecols specified(#1738). The string dtype is supported for tensor reduction and PSRS balancing. For more information, see Support string dtype for tensor reductions(#1746). XGBoost and LightGBM on DataFrame are fixed. For more information, see Fix xgboost and lightgbm on DataFrames(#1751). The repeated running of the same code in distributed mode is fixed. For more information, see Fix repeated running of same code in distributed mode(#1753). A column in DataFrame can be set to a tensor of the scalar type. For more information, see Support setting scalar which is a tensor for DataFrame(#1758).