Python API

wellmap.load(toml_path, *[, data_loader, ...])	Load a microplate layout from a TOML file.
wellmap.show(toml_path[, params, style])	Visualize the given microplate layout.
wellmap.show_df(df[, cols, style])	Visualize the microplate layout described by the given data frame.
wellmap.Meta(extras, dependencies, style)	Miscellaneous information that was present in the TOML file(s) but not part of the layout itself.
wellmap.Style(*[, cell_size, pad_width, ...])	Describe how to plot well layouts.
wellmap.well_from_row_col(row, col)	Create a well name from the given row and column names.
wellmap.well_from_ij(i, j)	Create a well name from the given row and column indices.
wellmap.well0_from_well(well[, digits])	Create a zero-padded well name from the given well name.
wellmap.well0_from_row_col(row, col[, digits])	Create a zero-padded well name from the given row and column names.
wellmap.row_from_i(i)	Convert the given index into a row name.
wellmap.col_from_j(j)	Convert the given index into a column name.
wellmap.row_col_from_ij(i, j)	Convert the given indices into row and column names.
wellmap.row_col_from_well(well)	Split row and column names out of the given well name.
wellmap.i_from_row(row)	Convert the given row name into an index number.
wellmap.j_from_col(col)	Convert the given column name into an index number.
wellmap.ij_from_well(well)	Convert the given well name into row and column indices.
wellmap.ij_from_row_col(row, col)	Convert the given row and column names into indices.
wellmap.iter_ij_in_block(top_left_ij, width, ...)	Yield all of the well indices in the given block.
wellmap.iter_row_indices(pattern)	Yield all of the well indices in the given row(s).
wellmap.iter_col_indices(pattern)	Yield all of the well indices in the given column(s).
wellmap.iter_well_indices(pattern)	Yield the indices for the given well(s).