src/gc_content/gc_content.py: change graphic style of the figure

src/gc_content/gc_content.py

@@ -19,6 +19,7 @@ from pathlib import Path
 import seaborn as sns
 from .gc_stats import make_stat
 from .stat_annot import add_stat_annotation
+import matplotlib.font_manager
 
 
 def get_gc_content(bed_line: List[Any], dic_seq: Fasta) -> float:
@@ -139,7 +140,11 @@ def make_gc_barplot(df: pd.DataFrame, outfile: Path, environment: int,
     :param region_names: The name of the regions analysed
     :param ft_name: The name of the feature analyzed
     """
-    sns.set(context="poster")
+    font_files = matplotlib.font_manager.findSystemFonts(fontpaths=None,
+                                                         fontext='ttf')
+    font_list = matplotlib.font_manager.createFontList(font_files)
+    matplotlib.font_manager.fontManager.ttflist.extend(font_list)
+    sns.set(context="poster", style="white", font="Arial", font_scale=1.4)
     rgn = ", ".join(region_names[:-1]) + " and " + region_names[-1]
     title = f"GC content of {rgn} {ft_name}"
     p_vals = make_stat(df)
@@ -164,6 +169,7 @@ def make_gc_barplot(df: pd.DataFrame, outfile: Path, environment: int,
     g.set_ylabels("GC content")
     g.set_xlabels("")
     g.fig.subplots_adjust(top=0.9)
+    g.ax.tick_params(left=True, bottom=True)
     g.fig.suptitle(title + " and their surrounding regions "
                            f"of {environment} nucleotides")
     g.savefig(outfile)
@@ -187,6 +193,7 @@ def create_barplot(beds: List[Path], bed_names: List[str],
     df = build_gc_dataframe(bed_content, dic_seq, environment, ft_name)
     outfile = ConfigGC.output / \
               f"gc_content_{'-'.join(bed_names)}_env_{environment}_nt.pdf"
+    df.to_csv(str(outfile).replace(".pdf", ".txt"), index=False, sep="\t")
     outfile.parent.mkdir(exist_ok=True, parents=True)
     make_gc_barplot(df, outfile, environment, bed_names, ft_name)