4)) cm =ClusterMapPlotter(data=df, top_annotation=col_ha, show_rownames=True, show_colname...
) cm =ClusterMapPlotter(data=df_heatmap, top_annotation=row_ha, col_split=2, row_split=3, col_split_gap=0.5, row_split_gap=1,label='values',row_dendrogram=True,show_rownames=True,show_colnames=True, tree_kws={'row_cmap': 'Dark2'}) plt.show() 3. Plotting annotations 3.1 Only pl...
Over onGitHub a new heatmap plotter for rtl_power has been released. The software is called rtl_heatmap and is software that can be used to create a heatmap from the csv data produced by rtl_power. The software creates the heatmap and also adds frequency marker information to the plot....
nan plt.figure(figsize=(3.5, 6)) cm = ClusterMapPlotter( data=df_heatmap, col_cluster=True,row_cluster=True, col_split=df.AB,row_split=2, col_split_gap=0.5,row_split_gap=0.8, label='values',row_dendrogram=True, show_rownames=True,show_colnames=True, row_names_side='right', tree...
figure(figsize=(4, 7)) cm = ClusterMapPlotter(data=df.T,right_annotation=row_ha, show_rownames=False, show_colnames=True,col_names_side='bottom', row_split=df_cols.Family, cmap='jet', label='AUC', rasterized=True, legend=True, xticklabels_kws={'labelrotation':-45,'labelcolor':'...
cm = ClusterMapPlotter(data=df_heatmap, top_annotation=row_ha, col_split=2, row_split=3, col_split_gap=0.5, row_split_gap=1,col_dendrogram=False,plot=True, tree_kws={'col_cmap':'Set1','row_cmap':'Dark2'}) plt.savefig("example1_heatmap.pdf", bbox_inches='tight') ...
cm = ClusterMapPlotter(data=df_heatmap, top_annotation=row_ha, col_split=2, row_split=3, col_split_gap=0.5, row_split_gap=1,col_dendrogram=False,plot=True, tree_kws={'col_cmap': 'Set1', 'row_cmap': 'Dark2'}) plt.savefig("example1_heatmap.pdf", bbox_inches='tight') ...
cm = ClusterMapPlotter(data=df_heatmap, top_annotation=row_ha, col_split=2, row_split=3, col_split_gap=0.5, row_split_gap=1,col_dendrogram=False,plot=True, tree_kws={'col_cmap':'Set1','row_cmap':'Dark2'}) plt.savefig("example1_heatmap.pdf", bbox_inches='tight') ...
(3.5, 6)) cm = ClusterMapPlotter( data=df_heatmap, col_cluster=True,row_cluster=True, col_split=df.AB,row_split=2, col_split_gap=0.5,row_split_gap=0.8, label='values',row_dendrogram=True, show_rownames=True,show_colnames=True, row_names_side='right', tree_kws={'row_cmap': '...
GoogleMapPlotter(0, 0, 2) # plot heatmap gmap.heatmap(lats, lons) # save it to html gmap.draw("Earthquake_heatmap.html") Reference: Basemap: http://www.uvm.edu/~jbagrow/dsv/heatmap_basemap.html gmaps: https://github.com/pbugnion/gmaps gmplot: https://github....