e3bb08cddb924c5bfa747d67dfc187cc13c78879,pynets/plotting.py,,plot_conn_mat,#Any#Any#Any#Any#Any#Any#Any#Any#,11

Before Change

    elif conn_model == "partcorr":
        atlast_graph_title = str(atlas_select) + "_Partial_Correlation_Graph"
    elif conn_model == "sps":
        atlast_graph_title = str(atlas_select) + "_Sparse_Covariance_Graph"
    elif conn_model == "cov":
        atlast_graph_title = str(atlas_select) + "_Covariance_Graph"
    if mask != None:
        atlast_graph_title = str(atlast_graph_title) + "_With_Masked_Nodes"
        
    if mask != None:   
        if network != "None":
            atlast_graph_title = str(atlast_graph_title) + "_" + str(network)
            out_path_fig=dir_path + "/" + str(ID) + "_" + atlas_select + "_" + str(network) + "_" + str(os.path.basename(mask).split(".")[0]) + "_adj_mat_" + str(conn_model) + "_network.png"
        else:
            out_path_fig=dir_path + "/" + str(ID) + "_" + atlas_select + "_" + str(os.path.basename(mask).split(".")[0]) + "_adj_mat_" + str(conn_model) + ".png"    
    else:
        if network != "None":
            atlast_graph_title = str(atlast_graph_title) + "_" + str(network)
            out_path_fig=dir_path + "/" + str(ID) + "_" + atlas_select + "_" + str(network) + "_adj_mat_" + str(conn_model) + "_network.png"
        else:
            out_path_fig=dir_path + "/" + str(ID) + "_" + atlas_select + "_adj_mat_" + str(conn_model) + ".png"
            
    rois_num=conn_matrix.shape[0]
    plt.figure(figsize=(10, 10))
    [z_min, z_max] = -np.abs(conn_matrix).max(), np.abs(conn_matrix).max()
    plt.imshow(conn_matrix, interpolation="nearest", vmax=z_max, vmin=z_min, cmap=plt.cm.RdBu_r)
    ////And display the labels
    if rois_num < 50:
        if all(isinstance(item, int) for item in label_names)==False:
            plt.xticks(range(len(label_names)), label_names, size="x-small", rotation=90)
            plt.yticks(range(len(label_names)), label_names, size="x-small")
        else:
            plt.xticks(range(rois_num), rotation=90)
            plt.yticks(range(rois_num))
    plt.title(atlast_graph_title)
    plt.grid(False)
    plt.savefig(out_path_fig)
    plt.close()
    return(atlast_graph_title)

def plot_connectogram(conn_matrix, conn_model, atlas_select, dir_path, ID, network, label_names):
    import json
    from networkx.readwrite import json_graph

After Change

    plt.grid(False)
    plt.savefig(out_path_fig)
    plt.close()
    return

def plot_connectogram(conn_matrix, conn_model, atlas_select, dir_path, ID, network, label_names):
    import json
    from networkx.readwrite import json_graph

Instances