[REF] views_size replaces figsize

-Inspired by zhen-Qi's suggestion, I replaced the figsize parameter of
plot_point_brain() with the views_size parameter. This new parameter
specifies the size of one single view of the brain. The total figure
size will be adjusted based on the number of views that the user wants
and the orientation of these views.

-Added matplotlib >= 3.3.0 in requirements.txt

Author: VinceBaz

netneurotools/plotting.py

@@ -726,7 +726,7 @@ def plot_fsvertex(data, *, order='lr', surf='pial', views='lat',
 
 
 def plot_point_brain(data, coords, views=None, views_orientation='vertical',
-                     cbar=False, figsize=(4, 4.8), robust=True, size=50,
+                     views_size=(4, 2.4), cbar=False, robust=True, size=50,
                      **kwargs):
     """
     Plots `data` as a cloud of points in 3D space based on specified `coords`
@@ -744,10 +744,10 @@ def plot_point_brain(data, coords, views=None, views_orientation='vertical',
     views_orientation: str, optional
         Orientation of the views. Can be either 'vertical' or 'horizontal'.
         Default: 'vertical'.
+    views_size : tuple, optional
+        Figure size of each view. Default: (4, 2.4)
     cbar : bool, optional
         Whether to also show colorbar. Default: False
-    figsize : tuple, optional
-        Figure size. Default: (4, 4.8)
     robust : bool, optional
         Whether to use robust calculation of `vmin` and `vmax` for color scale.
     size : int, optional
@@ -777,6 +777,7 @@ def plot_point_brain(data, coords, views=None, views_orientation='vertical',
         ncols, nrows = 1, len(views)
     elif views_orientation == 'horizontal':
         ncols, nrows = len(views), 1
+    figsize = (ncols * views_size[0], nrows * views_size[1])
 
     # create figure and axes (3d projections)
     fig, axes = plt.subplots(ncols=ncols, nrows=nrows,

requirements.txt

@@ -5,4 +5,5 @@ nilearn
 numpy>=1.16
 scikit-learn
 scipy>=1.4.0
+matplotlib >=3.3.0
 tqdm