flowsig.plotting

Functions

plot_differentially_flowing_signals(adata, condition_key)
plot_intercellular_flows(adata, flow_network[, ...])
plot_intercellular_cre_flows(adata, flow_network[, ...])

Package Contents

flowsig.plotting.plot_differentially_flowing_signals(adata: scanpy.AnnData, condition_key: str, pert_key: Iterable[str] | None = None, var_type: str = 'all', flowsig_expr_key: str = 'X_flow', flowsig_network_key: str = 'flowsig_network', qval_threshold: float = 0.05, logfc_threshold: float = 0.5, label_lowqval: bool = False, scatter_size: float = 50, ax: matplotlib.axes.Axes = None)

flowsig.plotting.plot_intercellular_flows(adata: scanpy.AnnData, flow_network: networkx.DiGraph, inflow_vars: str | Sequence[str] = None, module_vars: str | Sequence[str] = None, outflow_vars: str | Sequence[str] = None, flowsig_network_key: str = 'flowsig_network', align_mode: str = 'horizontal', width_scale: float = 2.0, x_margin_offset: float = 0.3, y_margin_offset: float = 0.0, ax: matplotlib.axes.Axes = None)

flowsig.plotting.plot_intercellular_cre_flows(adata: scanpy.AnnData, flow_network: networkx.DiGraph, inflow_vars: str | Sequence[str] = None, module_tf_vars: str | Sequence[str] = None, module_cre_vars: str | Sequence[str] = None, outflow_vars: str | Sequence[str] = None, flowsig_network_key: str = 'flowsig_network', align_mode: str = 'horizontal', width_scale: float = 2.0, x_margin_offset: float = 0.3, y_margin_offset: float = 0.0, ax: matplotlib.axes.Axes = None)