Update requirements

pyproject.toml

@@ -28,6 +28,7 @@ requires-python = ">=3.8"
 [project.optional-dependencies]
 docs = ["numpydoc", "sphinx_rtd_theme", "sphinx", 'nbsphinx']
 ml = ["xgboost"]
+visualizer = ["plotly"]
 
 [project.urls]
 Homepage = "https://github.com/EgorDudyrev/FCApy"

requirements.txt

@@ -6,10 +6,18 @@
 #
 alabaster==0.7.13
     # via sphinx
+appnope==0.1.3
+    # via
+    #   ipykernel
+    #   ipython
+asttokens==2.2.1
+    # via stack-data
 attrs==23.1.0
     # via jsonschema
 babel==2.12.1
     # via sphinx
+backcall==0.2.0
+    # via ipython
 beautifulsoup4==4.12.2
     # via nbconvert
 bitarray==2.7.4
@@ -26,19 +34,27 @@ certifi==2023.5.7
     # via requests
 charset-normalizer==3.1.0
     # via requests
+comm==0.1.3
+    # via ipykernel
 contourpy==1.0.7
     # via matplotlib
 cycler==0.11.0
     # via matplotlib
 dataclasses==0.6
     # via scikit-mine
+debugpy==1.6.7
+    # via ipykernel
+decorator==5.1.1
+    # via ipython
 defusedxml==0.7.1
     # via nbconvert
 docutils==0.18.1
     # via
     #   nbsphinx
     #   sphinx
     #   sphinx-rtd-theme
+executing==1.2.0
+    # via stack-data
 fastjsonschema==2.17.1
     # via nbformat
 fonttools==4.39.4
@@ -51,6 +67,16 @@ idna==3.4
     # via requests
 imagesize==1.4.1
     # via sphinx
+ipykernel==6.23.1
+    # via ipywidgets
+ipython==8.13.2
+    # via
+    #   ipykernel
+    #   ipywidgets
+ipywidgets==8.0.6
+    # via fcapy (pyproject.toml)
+jedi==0.18.2
+    # via ipython
 jinja2==3.1.2
     # via
     #   nbconvert
@@ -65,15 +91,20 @@ joblib==1.2.0
 jsonschema==4.17.3
     # via nbformat
 jupyter-client==8.2.0
-    # via nbclient
+    # via
+    #   ipykernel
+    #   nbclient
 jupyter-core==5.3.0
     # via
+    #   ipykernel
     #   jupyter-client
     #   nbclient
     #   nbconvert
     #   nbformat
 jupyterlab-pygments==0.2.2
     # via nbconvert
+jupyterlab-widgets==3.0.7
+    # via ipywidgets
 kiwisolver==1.4.4
     # via matplotlib
 markupsafe==2.1.2
@@ -84,6 +115,10 @@ matplotlib==3.7.1
     # via
     #   fcapy (pyproject.toml)
     #   scikit-mine
+matplotlib-inline==0.1.6
+    # via
+    #   ipykernel
+    #   ipython
 mistune==2.0.5
     # via nbconvert
 nbclient==0.8.0
@@ -97,6 +132,8 @@ nbformat==5.9.0
     #   nbsphinx
 nbsphinx==0.9.2
     # via fcapy (pyproject.toml)
+nest-asyncio==1.5.6
+    # via ipykernel
 networkx==3.1
     # via
     #   fcapy (pyproject.toml)
@@ -115,25 +152,44 @@ numpydoc==1.5.0
     # via fcapy (pyproject.toml)
 packaging==23.1
     # via
+    #   ipykernel
     #   matplotlib
     #   nbconvert
+    #   plotly
     #   sphinx
 pandas==2.0.2
     # via
     #   fcapy (pyproject.toml)
     #   scikit-mine
 pandocfilters==1.5.0
     # via nbconvert
+parso==0.8.3
+    # via jedi
+pexpect==4.8.0
+    # via ipython
+pickleshare==0.7.5
+    # via ipython
 pillow==9.5.0
     # via matplotlib
 platformdirs==3.5.1
     # via jupyter-core
+plotly==5.14.1
+    # via fcapy (pyproject.toml)
+prompt-toolkit==3.0.38
+    # via ipython
+psutil==5.9.5
+    # via ipykernel
+ptyprocess==0.7.0
+    # via pexpect
+pure-eval==0.2.2
+    # via stack-data
 pydantic==1.10.8
     # via fcapy (pyproject.toml)
 pydot==1.4.2
     # via scikit-mine
 pygments==2.15.1
     # via
+    #   ipython
     #   nbconvert
     #   sphinx
 pyparsing==3.0.9
@@ -152,7 +208,9 @@ python-dateutil==2.8.2
 pytz==2023.3
     # via pandas
 pyzmq==25.1.0
-    # via jupyter-client
+    # via
+    #   ipykernel
+    #   jupyter-client
 requests==2.31.0
     # via sphinx
 scikit-learn==1.2.2
@@ -201,20 +259,31 @@ sphinxcontrib-qthelp==1.0.3
     # via sphinx
 sphinxcontrib-serializinghtml==1.1.5
     # via sphinx
+stack-data==0.6.2
+    # via ipython
+tenacity==8.2.2
+    # via plotly
 threadpoolctl==3.1.0
     # via scikit-learn
 tinycss2==1.2.1
     # via nbconvert
 tornado==6.3.2
-    # via jupyter-client
+    # via
+    #   ipykernel
+    #   jupyter-client
 tqdm==4.65.0
     # via
     #   caspailleur
     #   fcapy (pyproject.toml)
 traitlets==5.9.0
     # via
+    #   comm
+    #   ipykernel
+    #   ipython
+    #   ipywidgets
     #   jupyter-client
     #   jupyter-core
+    #   matplotlib-inline
     #   nbclient
     #   nbconvert
     #   nbformat
@@ -225,11 +294,15 @@ tzdata==2023.3
     # via pandas
 urllib3==2.0.2
     # via requests
+wcwidth==0.2.6
+    # via prompt-toolkit
 webencodings==0.5.1
     # via
     #   bleach
     #   tinycss2
 wget==3.2
     # via scikit-mine
+widgetsnbextension==4.0.7
+    # via ipywidgets
 xgboost==1.7.5
     # via fcapy (pyproject.toml)