mathLab · ndem0 · Nov 5, 2024 · Oct 28, 2024 · Oct 31, 2024
diff --git a/docs/source/_rst/tutorials/tutorial10/tutorial.rst b/docs/source/_rst/tutorials/tutorial10/tutorial.rst
@@ -24,9 +24,14 @@ operations.
       IN_COLAB = False
     if IN_COLAB:
       !pip install "pina-mathlab"
+      !mkdir "data"
+      !wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS.mat" -O "data/Data_KS.mat"
+      !wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS2.mat" -O "data/Data_KS2.mat"
+
 
     import torch
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
     from scipy import io
     from pina import Condition, LabelTensor
     from pina.problem import AbstractProblem

diff --git a/docs/source/_rst/tutorials/tutorial4/tutorial.rst b/docs/source/_rst/tutorials/tutorial4/tutorial.rst
@@ -27,6 +27,7 @@ First of all we import the modules needed for the tutorial:
 
     import torch 
     import matplotlib.pyplot as plt 
+    plt.style.use('tableau-colorblind10')
     from pina.problem import AbstractProblem
     from pina.solvers import SupervisedSolver
     from pina.trainer import Trainer

diff --git a/docs/source/_rst/tutorials/tutorial5/tutorial.rst b/docs/source/_rst/tutorials/tutorial5/tutorial.rst
@@ -23,6 +23,9 @@ First of all we import the modules needed for the tutorial. Importing
     if IN_COLAB:
       !pip install "pina-mathlab"
       !pip install scipy
+      # get the data
+      !wget https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial5/Data_Darcy.mat
+
 
     # !pip install scipy  # install scipy
     from scipy import io
@@ -33,6 +36,7 @@ First of all we import the modules needed for the tutorial. Importing
     from pina.trainer import Trainer
     from pina.problem import AbstractProblem
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
 
 Data Generation
 ---------------

diff --git a/docs/source/_rst/tutorials/tutorial6/tutorial.rst b/docs/source/_rst/tutorials/tutorial6/tutorial.rst
@@ -28,6 +28,7 @@ We import the relevant modules first.
       !pip install "pina-mathlab"
 
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
     from pina.geometry import EllipsoidDomain, Difference, CartesianDomain, Union, SimplexDomain
     from pina.label_tensor import LabelTensor
 

diff --git a/docs/source/_rst/tutorials/tutorial7/tutorial.rst b/docs/source/_rst/tutorials/tutorial7/tutorial.rst
@@ -46,8 +46,14 @@ In order to achieve both the goals we will need to define an
       IN_COLAB = False
     if IN_COLAB:
       !pip install "pina-mathlab"
+      # get the data
+      !mkdir "data"
+      !wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pinn_solution_0.5_0.5" -O "data/pinn_solution_0.5_0.5"
+      !wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pts_0.5_0.5" -O "data/pts_0.5_0.5"
+
 
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
     import torch
     from pytorch_lightning.callbacks import Callback
     from pina.problem import SpatialProblem, InverseProblem

diff --git a/docs/source/_rst/tutorials/tutorial8/tutorial.rst b/docs/source/_rst/tutorials/tutorial8/tutorial.rst
@@ -48,6 +48,7 @@ minimum PINA version to run this tutorial is the ``0.1``.
     %matplotlib inline
 
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
     import torch
     import pina
 

diff --git a/docs/source/_rst/tutorials/tutorial9/tutorial.rst b/docs/source/_rst/tutorials/tutorial9/tutorial.rst
@@ -28,6 +28,7 @@ First of all, some useful imports.
 
     import torch
     import matplotlib.pyplot as plt
+    plt.style.use('tableau-colorblind10')
 
     from pina import Condition, Plotter
     from pina.problem import SpatialProblem

diff --git a/tutorials/tutorial10/dat/Data_KS.mat → tutorials/tutorial10/data/Data_KS.mat b/tutorials/tutorial10/dat/Data_KS.mat → tutorials/tutorial10/data/Data_KS.mat
diff --git a/tutorials/tutorial10/dat/Data_KS2.mat → tutorials/tutorial10/data/Data_KS2.mat b/tutorials/tutorial10/dat/Data_KS2.mat → tutorials/tutorial10/data/Data_KS2.mat
diff --git a/tutorials/tutorial10/tutorial.ipynb b/tutorials/tutorial10/tutorial.ipynb
@@ -31,9 +31,14 @@
     "  IN_COLAB = False\n",
     "if IN_COLAB:\n",
     "  !pip install \"pina-mathlab\"\n",
+    "  # get the data\n",
+    "  !mkdir \"data\"\n",
+    "  !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS.mat\" -O \"data/Data_KS.mat\"\n",
+    "  !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS2.mat\" -O \"data/Data_KS2.mat\"\n",
     "\n",
     "import torch\n",
     "import matplotlib.pyplot as plt\n",
+    "plt.style.use('tableau-colorblind10')\n",
     "from scipy import io\n",
     "from pina import Condition, LabelTensor\n",
     "from pina.problem import AbstractProblem\n",
@@ -99,7 +104,7 @@
    ],
    "source": [
     "# load data\n",
-    "data=io.loadmat(\"dat/Data_KS.mat\")\n",
+    "data=io.loadmat(\"data/Data_KS.mat\")\n",
     "\n",
     "# converting to label tensor\n",
     "initial_cond_train = LabelTensor(torch.tensor(data['initial_cond_train'], dtype=torch.float), ['t','x','u0'])\n",

diff --git a/tutorials/tutorial10/tutorial.py b/tutorials/tutorial10/tutorial.py
@@ -25,9 +25,14 @@
   IN_COLAB = False
 if IN_COLAB:
   get_ipython().system('pip install "pina-mathlab"')
+  # get the data
+  get_ipython().system('mkdir "data"')
+  get_ipython().system('wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS.mat" -O "data/Data_KS.mat"')
+  get_ipython().system('wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial10/data/Data_KS2.mat" -O "data/Data_KS2.mat"')
 
 import torch
 import matplotlib.pyplot as plt
+plt.style.use('tableau-colorblind10')
 from scipy import io
 from pina import Condition, LabelTensor
 from pina.problem import AbstractProblem

diff --git a/tutorials/tutorial4/tutorial.ipynb b/tutorials/tutorial4/tutorial.ipynb
@@ -44,6 +44,7 @@
     "\n",
     "import torch \n",
     "import matplotlib.pyplot as plt \n",
+    "plt.style.use('tableau-colorblind10')\n",
     "from pina.problem import AbstractProblem\n",
     "from pina.solvers import SupervisedSolver\n",
     "from pina.trainer import Trainer\n",

diff --git a/tutorials/tutorial4/tutorial.py b/tutorials/tutorial4/tutorial.py
@@ -9,7 +9,7 @@
 
 # First of all we import the modules needed for the tutorial:
 
-# In[1]:
+# In[ ]:
 
 
 ## routine needed to run the notebook on Google Colab
@@ -23,6 +23,7 @@
 
 import torch 
 import matplotlib.pyplot as plt 
+plt.style.use('tableau-colorblind10')
 from pina.problem import AbstractProblem
 from pina.solvers import SupervisedSolver
 from pina.trainer import Trainer

diff --git a/tutorials/tutorial5/tutorial.ipynb b/tutorials/tutorial5/tutorial.ipynb
@@ -35,6 +35,9 @@
     "if IN_COLAB:\n",
     "  !pip install \"pina-mathlab\"\n",
     "  !pip install scipy\n",
+    "  # get the data\n",
+    "  !wget https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial5/Data_Darcy.mat\n",
+    "\n",
     "  \n",
     "# !pip install scipy  # install scipy\n",
     "from scipy import io\n",
@@ -44,7 +47,8 @@
     "from pina.solvers import SupervisedSolver\n",
     "from pina.trainer import Trainer\n",
     "from pina.problem import AbstractProblem\n",
-    "import matplotlib.pyplot as plt"
+    "import matplotlib.pyplot as plt\n",
+    "plt.style.use('tableau-colorblind10')"
    ]
   },
   {

diff --git a/tutorials/tutorial5/tutorial.py b/tutorials/tutorial5/tutorial.py
@@ -21,6 +21,9 @@
 if IN_COLAB:
   get_ipython().system('pip install "pina-mathlab"')
   get_ipython().system('pip install scipy')
+  # get the data
+  get_ipython().system('wget https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial5/Data_Darcy.mat')
+
 
 # !pip install scipy  # install scipy
 from scipy import io
@@ -31,6 +34,7 @@
 from pina.trainer import Trainer
 from pina.problem import AbstractProblem
 import matplotlib.pyplot as plt
+plt.style.use('tableau-colorblind10')
 
 
 # ## Data Generation

diff --git a/tutorials/tutorial6/tutorial.ipynb b/tutorials/tutorial6/tutorial.ipynb
@@ -34,6 +34,7 @@
     "  !pip install \"pina-mathlab\"\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
+    "plt.style.use('tableau-colorblind10')\n",
     "from pina.geometry import EllipsoidDomain, Difference, CartesianDomain, Union, SimplexDomain\n",
     "from pina.label_tensor import LabelTensor\n",
     "\n",

diff --git a/tutorials/tutorial6/tutorial.py b/tutorials/tutorial6/tutorial.py
@@ -26,6 +26,7 @@
   get_ipython().system('pip install "pina-mathlab"')
 
 import matplotlib.pyplot as plt
+plt.style.use('tableau-colorblind10')
 from pina.geometry import EllipsoidDomain, Difference, CartesianDomain, Union, SimplexDomain
 from pina.label_tensor import LabelTensor
 

diff --git a/tutorials/tutorial7/tutorial.ipynb b/tutorials/tutorial7/tutorial.ipynb
@@ -63,8 +63,13 @@
     "  IN_COLAB = False\n",
     "if IN_COLAB:\n",
     "  !pip install \"pina-mathlab\"\n",
+    "  # get the data\n",
+    "  !mkdir \"data\"\n",
+    "  !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pinn_solution_0.5_0.5\" -O \"data/pinn_solution_0.5_0.5\"\n",
+    "  !wget \"https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pts_0.5_0.5\" -O \"data/pts_0.5_0.5\"\n",
     "  \n",
     "import matplotlib.pyplot as plt\n",
+    "plt.style.use('tableau-colorblind10')\n",
     "import torch\n",
     "from pytorch_lightning.callbacks import Callback\n",
     "from pina.problem import SpatialProblem, InverseProblem\n",

diff --git a/tutorials/tutorial7/tutorial.py b/tutorials/tutorial7/tutorial.py
@@ -36,8 +36,13 @@
   IN_COLAB = False
 if IN_COLAB:
   get_ipython().system('pip install "pina-mathlab"')
+  # get the data
+  get_ipython().system('mkdir "data"')
+  get_ipython().system('wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pinn_solution_0.5_0.5" -O "data/pinn_solution_0.5_0.5"')
+  get_ipython().system('wget "https://github.com/mathLab/PINA/raw/refs/heads/master/tutorials/tutorial7/data/pts_0.5_0.5" -O "data/pts_0.5_0.5"')
 
 import matplotlib.pyplot as plt
+plt.style.use('tableau-colorblind10')
 import torch
 from pytorch_lightning.callbacks import Callback
 from pina.problem import SpatialProblem, InverseProblem

diff --git a/tutorials/tutorial8/tutorial.ipynb b/tutorials/tutorial8/tutorial.ipynb
@@ -60,6 +60,7 @@
     "%matplotlib inline\n",
     "\n",
     "import matplotlib.pyplot as plt\n",
+    "plt.style.use('tableau-colorblind10')\n",
     "import torch\n",
     "import pina\n",
     "\n",

diff --git a/tutorials/tutorial8/tutorial.py b/tutorials/tutorial8/tutorial.py
@@ -31,6 +31,7 @@
 get_ipython().run_line_magic('matplotlib', 'inline')
 
 import matplotlib.pyplot as plt
+plt.style.use('tableau-colorblind10')
 import torch
 import pina
 

diff --git a/tutorials/tutorial9/tutorial.ipynb b/tutorials/tutorial9/tutorial.ipynb
@@ -35,7 +35,7 @@
     "\n",
     "import torch\n",
     "import matplotlib.pyplot as plt\n",
-    "\n",
+    "plt.style.use('tableau-colorblind10')\n",
     "from pina import Condition, Plotter\n",
     "from pina.problem import SpatialProblem\n",
     "from pina.operators import laplacian\n",

diff --git a/tutorials/tutorial9/tutorial.py b/tutorials/tutorial9/tutorial.py
@@ -28,7 +28,7 @@
 
 import torch
 import matplotlib.pyplot as plt
-
+plt.style.use('tableau-colorblind10')
 from pina import Condition, Plotter
 from pina.problem import SpatialProblem
 from pina.operators import laplacian