rotate ticks date correctly (#3)

drees.py

@@ -289,6 +289,7 @@ def get_plot_fig(
     date_format: Optional[str] = DATE_FORMAT,
     figsize: Optional[Tuple[int, int]] = None,
     locator: Optional[Any] = md.MonthLocator(),
+    auto_date_fmt: Optional[bool] = True,
 ) -> plt.figure:
     """
     return pyplot fig, ax to plot data over range period with date formatting
@@ -298,7 +299,8 @@ def get_plot_fig(
     date_formatter = md.DateFormatter(date_format)
     ax.xaxis.set_major_locator(locator)
     ax.xaxis.set_major_formatter(date_formatter)
-    fig.autofmt_xdate()
+    if auto_date_fmt:
+        fig.autofmt_xdate()
     return fig, ax
 
 
@@ -444,7 +446,7 @@ def plot_cumulative_field(
     """
     np_data_vac, np_data_unvac = split_by_vac_status(np_data)
     for age_group in AgeGroup:
-        fig, _ = get_plot_fig()
+        fig, _ = get_plot_fig(auto_date_fmt=False)
         np_cumulate_vac: np.ndarray = np.cumsum(
             np_data_vac[:, age_group.value, field.value], axis=0
         )
@@ -457,6 +459,7 @@ def plot_cumulative_field(
         plt.title(f"{age_group.label} - {field.label}")
         plt.xlabel("Date")
         plt.ylabel("Nombre de cas")
+        plt.xticks(rotation=30)
         save_and_close_fig(
             fig,
             os.path.join(
@@ -472,7 +475,7 @@ def plot_fields_by_age_vac(
     """
     plot field data by age and vaccine status (cases per million)
     """
-    fig, _ = get_plot_fig()
+    fig, _ = get_plot_fig(auto_date_fmt=False)
 
     for field in Field:
         np_result = (
@@ -485,6 +488,7 @@ def plot_fields_by_age_vac(
         )
         plt.xlabel("Date")
         plt.ylabel("Cas par million de personnes")
+        plt.xticks(rotation=30)
         plt.title(f"{age_group.label} - {vac_status.label}")
 
     save_and_close_fig(