Data for Colab / colorblind setting

Author: AleDinve

docs/source/_rst/tutorials/tutorial10/tutorial.rst

@@ -27,6 +27,7 @@ operations.
     
     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

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

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/blob/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
 ---------------

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
     

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/blob/master/tutorials/tutorial7/data/pinn_solution_0.5_0.5" -O "data/pinn_solution_0.5_0.5"
+      !wget "https://github.com/mathLab/PINA/blob/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

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
 

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

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/blob/master/tutorials/tutorial10/dat/Data_KS.mat\" -O \"data/Data_KS.mat\"\n",
+    "  !wget \"https://github.com/mathLab/PINA/blob/master/tutorials/tutorial10/dat/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",

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/blob/master/tutorials/tutorial10/dat/Data_KS.mat" -O "data/Data_KS.mat"')
+  get_ipython().system('wget "https://github.com/mathLab/PINA/blob/master/tutorials/tutorial10/dat/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

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",