legend and colors update

2-produce-graph/hist-evol-datasets-per-repo.py

@@ -94,8 +94,7 @@ for i, date in enumerate(df_evol.index) :
 ax.set_xticks(x_idx_toshow)
 ax.set_xticklabels(x_label_toshow, rotation=70, fontsize=10)
 
-
-plt.title(f"Evolution of the quantity of UGA open datasets\n and distribution per repository", \
+plt.title(f"Cumulative view of the quantity of UGA datasets\n and distribution by repository", \
 	fontsize = 18, x = 0.5, y = 1.03, alpha = 0.8)
 plt.suptitle(f"n = {len(df)}", fontsize = 12, x = 0.5, y = 0.87, alpha = 0.6)
 

2-produce-graph/hist-quantity-year-type.py

@@ -17,7 +17,7 @@ df_year_type.index.rename("year", inplace = True)
 
 ## a set of color via plt
 ### see color palett https://matplotlib.org/stable/users/explain/colors/colormaps.html
-colors = [plt.cm.tab20(i) for i in range(len(df_year_type.columns))]
+colors = [plt.cm.Set3(i) for i in range(len(df_year_type.columns))]
 
 ax = df_year_type.plot(
     kind = "bar", 

2-produce-graph/pie-data-type.py

@@ -17,7 +17,7 @@ df_type = df["resourceTypeGeneral"].value_counts()
 
 #define a color palette to use
 ### see color palett https://matplotlib.org/stable/users/explain/colors/colormaps.html
-colors = [plt.cm.tab20(i) for i in range(len(df_type))]
+colors = [plt.cm.Set3(i) for i in range(len(df_type))]
 random.shuffle(colors) ## so that blue is not more the first item
 
 plt.subplots(figsize=(10, 7))
@@ -34,5 +34,3 @@ plt.savefig("pie--datacite-type.png")
 print(f"\ngraph produced pie--datacite-type.png")
 
 # plt.show()
-
-# print(len(df))
\ No newline at end of file