fixed bug with newer release of matplotlib (#8)

requirements.txt

@@ -1,4 +1 @@
-matplotlib>=3.5.1
-numpy>=1.23.3
-vcfpy>=0.13.6
-pandas>=1.4.4
+.

setup.py

@@ -15,10 +15,11 @@
     license_files=('LICENSE'),
     packages=find_packages(),
     install_requires=[
-        "matplotlib>=3.5.1",
+        "matplotlib>=3.5.1,<=3.8.0",
         "numpy>=1.23.3",
+        "pandas>=1.4.4"
     ],
-    description='virHEAT creates a heatmap from vcf files and maps positions onto a reference genome.',
+    description='virHEAT creates a heatmap from vcf files and maps positions on to a reference genome.',
     url='https://github.com/jonas-fuchs/virHEAT',
     author='Dr. Jonas Fuchs',
     author_email='[email protected]',

virheat/__init__.py

@@ -1,3 +1,3 @@
 """plot vcf data as a heatmap mapped to a virus genome"""
 _program = "virheat"
-__version__ = "0.5.1"
+__version__ = "0.5.2"

virheat/command.py

@@ -165,7 +165,7 @@ def main(sysargs=sys.argv[1:]):
         # plot gene track
         plotting.create_gene_vis(ax, genes_with_mutations, n_mutations, y_size, n_tracks, genome_end, min_y_location, genome_y_location, colors_genes)
     plotting.create_axis(ax, n_mutations, min_y_location, n_samples, file_names, genome_end, genome_y_location, unique_mutations, reference_name)
-    plotting.create_colorbar(args.threshold, cmap_cells, min_y_location, n_samples)
+    plotting.create_colorbar(args.threshold, cmap_cells, min_y_location, n_samples, ax)
     plotting.create_mutation_legend(mutation_set, min_y_location, n_samples)
 
     # create output folder

virheat/scripts/plotting.py

@@ -66,7 +66,7 @@ def create_genome_vis(ax, genome_y_location, n_mutations, unique_mutations, geno
     return mutation_set
 
 
-def create_colorbar(threshold, cmap, min_y_location, n_samples):
+def create_colorbar(threshold, cmap, min_y_location, n_samples, ax):
     """
     creates a custom colorbar and annotates the threshold
     """
@@ -90,7 +90,7 @@ def create_colorbar(threshold, cmap, min_y_location, n_samples):
         labels.remove(rounded_threshold)
     ticks.append(threshold)
     labels.append(f"threshold\n={threshold}")
-    cbar = plt.colorbar(cmap, label="variant frequency", pad=0, shrink=n_samples/(min_y_location+n_samples), anchor=(0.1, 1), aspect=15)
+    cbar = plt.colorbar(cmap, label="variant frequency", pad=0, shrink=n_samples/(min_y_location+n_samples), anchor=(0.1,1), aspect=15, ax=ax)
     cbar.set_ticks(ticks)
     cbar.set_ticklabels(labels)