size img

same size of images

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

@@ -21,16 +21,18 @@ df_type = df["resourceTypeGeneral"].value_counts()
 colors = [plt.cm.Pastel1(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))
+# plt.subplots_adjust(0.5, 1 , 0, 1) # pour modifier la taille du pie 
 plt.pie(df_type, colors = colors, autopct=lambda p: '{:.0f}%'.format(round(p)) if p > 1 else '', startangle = 160)
 ## auto pct only if value > 1
 
-plt.legend(df_type.index, loc = (0.7, -0.1) )
+plt.legend(df_type.index, loc = (0.85, 0.2) )
 
 plt.title(f"Type of datasets", fontsize = 20, x = 0.5, y = 1.03, alpha = 0.6)
 plt.suptitle(f"n = {len(df)}", fontsize = 11, x = 0.5, y = 0.9, alpha = 0.6)
 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

2-produce-graph/pie-datacite-client.py

@@ -31,6 +31,7 @@ colors = [plt.cm.Set3(i) for i in range(len(df_client))]
 
 #colors = sns.color_palette('pastel')[0:len(df_client)]
 
+plt.subplots(figsize=(10, 7))
 plt.pie(df_client, labels = df_client.index, colors = colors, autopct='%.0f%%')
 plt.title(f"Distribution of datasets by DataCite client", fontsize = 20, x = 0.5, y = 1.03, alpha = 0.6)
 plt.suptitle(f"n = {len(df)}", fontsize = 11, x = 0.5, y = 0.90, alpha = 0.6)