SparseFrame (data[, index, columns]) |
Two dimensional, size-mutable, homogenous tabular data structure with labeled axes (rows and columns). |
SparseFrame.add (other[, how, fill_value]) |
Aligned addition. |
SparseFrame.assign (**kwargs) |
Assign new columns. |
SparseFrame.axes |
|
SparseFrame.columns |
Return column labels |
SparseFrame.concat (tables[, axis]) |
Concat a collection of SparseFrames along given axis. |
SparseFrame.copy (*args[, deep]) |
Copy frame |
SparseFrame.drop (labels[, axis]) |
Drop label(s) from given axis. |
SparseFrame.dropna () |
Drop nans from index. |
SparseFrame.fillna (value) |
Replace NaN values in explicitly stored data with value. |
SparseFrame.groupby_agg ([by, level, agg_func]) |
Aggregate data using callable. |
SparseFrame.groupby_sum ([by, level]) |
Optimized sparse groupby sum aggregation. |
SparseFrame.head ([n]) |
Return rows from the top of the table. |
SparseFrame.index |
Return index labels |
SparseFrame.join (other[, axis, how, level]) |
Join two tables along their indices. |
SparseFrame.max (*args, **kwargs) |
Find maximum element(s). |
SparseFrame.mean (*args, **kwargs) |
Calculate mean(s). |
SparseFrame.min (*args, **kwargs) |
Find minimum element(s) |
SparseFrame.multiply (other[, axis]) |
Multiply SparseFrame row-wise or column-wise. |
SparseFrame.nnz () |
Get the count of explicitly stored values (nonzeros). |
SparseFrame.read_npz (filename[, storage_options]) |
Read from numpy npz format. |
SparseFrame.reindex ([labels, index, …]) |
Conform SparseFrame to new index. |
SparseFrame.reindex_axis (labels[, axis, …]) |
Conform SparseFrame to new index. |
SparseFrame.rename (columns[, inplace]) |
Rename columns by applying a callable to every column name. |
SparseFrame.set_index ([column, idx, level, …]) |
Set index from array, column or existing multi-index level. |
SparseFrame.sort_index () |
Sort table along index. |
SparseFrame.sum (*args, **kwargs) |
Sum elements. |
SparseFrame.take (idx[, axis]) |
Return data at integer locations. |
SparseFrame.to_npz (filename[, block_size, …]) |
Save to numpy npz format. |
SparseFrame.toarray () |
Return dense np.array representation. |
SparseFrame.todense ([pandas]) |
Return dense representation. |
SparseFrame.values |
CSR Matrix represenation of frame |
SparseFrame.vstack (frames) |
Vertical stacking given collection of SparseFrames. |