src/visu/figure_maker.py: modification of the tmp file name

src/visu/figure_maker.py

@@ -6,7 +6,6 @@
 Description:
 """
 
-
 from pathlib import Path
 from typing import List, Union, Any
 from doctest import testmod
@@ -183,7 +182,7 @@ def create_df_summary(df_cov: pd.DataFrame, figure_type: str, nb_bin: int,
     :param order_condition: The order of conditions
     :return: The summarised dataframe
     """
-    df_sum = df_cov.groupby(['bin', 'condition', 'replicate']).mean()\
+    df_sum = df_cov.groupby(['bin', 'condition', 'replicate']).mean() \
         .reset_index()
     if figure_type == "metagene":
         return df_sum
@@ -254,7 +253,7 @@ def figure_metagene(df_sum: pd.DataFrame, show_replicate: bool,
         title += f"\nand in their surrounding regions of {environment[0]} nt"
     g.fig.suptitle(title)
     outfile_title = f"metagene_{region_name}_{nb_bin}bin_" \
-        f"{environment[0]}_nt-around-{environment[1]}-bin"
+                    f"{environment[0]}_nt-around-{environment[1]}-bin"
     if norm_bin0:
         outfile_title += "_b0_norm"
     outfile_title += ".pdf"
@@ -294,7 +293,7 @@ def figure_barplot(df_sum: pd.DataFrame, show_replicate: bool,
     title = f"Average coverage in region '{region_name}'"
     g.fig.suptitle(title)
     outfile_title = f"barplot_{region_name}_{nb_bin}bin_" \
-        f"{environment[0]}_nt-around-{environment[1]}-bin"
+                    f"{environment[0]}_nt-around-{environment[1]}-bin"
     if norm_bin0:
         outfile_title += "_b0_norm"
     outfile_title += ".pdf"
@@ -310,7 +309,7 @@ def bin0_normalisation(df: pd.DataFrame) -> pd.DataFrame:
     :return: the dataframe with normalised coverage
     """
     df_val = df.loc[df['bin'] == 0,
-                    ['coverage', 'condition', 'replicate']]\
+                    ['coverage', 'condition', 'replicate']] \
         .groupby(['condition', 'replicate']).mean().reset_index()
     df_val.rename({"coverage": "coef"}, axis=1, inplace=True)
     df = df.merge(df_val, how="left", on=['condition', 'replicate'])
@@ -351,7 +350,7 @@ def create_figure(design: Path, bw_folder: Path, region_bed: Path,
     df_exp = pd.read_csv(design, sep="\t")
     regions = load_bed(region_bed)
     region_bed_name = region_bed.name.replace('.bed', '')
-    outfile = f'tmp_cov_table_{region_bed_name}_{nb_bin}bin_' \
+    outfile = f'tmp_cov_table_{design.name}_{region_bed_name}_{nb_bin}bin_' \
               f'{environment[0]}_nt-around-{environment[1]}-bin'
     if norm_bin0:
         outfile += '_bin0_norm'