差分

このページの2つのバージョン間の差分を表示します。

--- python:bokeh [2023/05/16 21:11] – 作成ともやん
+++ python:bokeh [2023/09/23 23:27] (現在) – [Bokeh - Web ブラウザー用のインタラクティブなビジュアライゼーション視覚エフェクト Python ライブラリ] ともやん
@@ 行 1: / 行 1: @@
 ====== Bokeh - Web ブラウザー用のインタラクティブなビジュアライゼーション視覚エフェクト Python ライブラリ ======
 本家: [[https://bokeh.org/|Bokeh]] [[gtr>https://bokeh.org/|翻訳]]\\
+ソースコード: [[git>bokeh/bokeh|bokeh/bokeh: Interactive Data Visualization in the browser, from Python]] [[gtr>https://github.com/bokeh/bokeh|翻訳]]\\
+===== インストール =====
+<WRAP color_term>
+<WRAP color_command><html><pre>
+<b class=GRN>$</b> <b class=HIY>pip</b> install bokeh
+</pre></html></WRAP>
+<WRAP color_result_long><html><pre>
+Collecting bokeh
+  Downloading bokeh-3.1.1-py3-none-any.whl (8.3 MB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>8.3/8.3 MB</b> <b class=RED>1.4 MB/s eta</b> eta <b class=CYN>0:00:00</b>
+Collecting Jinja2>=2.9 (from bokeh)
+  Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>133.1/133.1 kB</b> <b class=RED>798.1 kB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting contourpy>=1 (from bokeh)
+  Downloading contourpy-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>300.0/300.0 kB</b> <b class=RED>918.1 kB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting numpy>=1.16 (from bokeh)
+  Downloading numpy-1.24.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>17.3/17.3 MB</b> <b class=RED>2.2 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting packaging>=16.8 (from bokeh)
+  Downloading packaging-23.1-py3-none-any.whl (48 kB)
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+Collecting pandas>=1.2 (from bokeh)
+  Downloading pandas-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>12.2/12.2 MB</b> <b class=RED>2.1 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting pillow>=7.1.0 (from bokeh)
+  Downloading Pillow-9.5.0-cp311-cp311-manylinux_2_28_x86_64.whl (3.4 MB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>3.4/3.4 MB</b> <b class=RED>1.8 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting PyYAML>=3.10 (from bokeh)
+  Downloading PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>757.9/757.9 kB</b> <b class=RED>1.9 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting tornado>=5.1 (from bokeh)
+  Downloading tornado-6.3.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (426 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>426.9/426.9 kB</b> <b class=RED>1.4 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting xyzservices>=2021.09.1 (from bokeh)
+  Downloading xyzservices-2023.2.0-py3-none-any.whl (55 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>55.4/55.4 kB</b> <b class=RED>671.1 kB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting MarkupSafe>=2.0 (from Jinja2>=2.9->bokeh)
+  Downloading MarkupSafe-2.1.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27 kB)
+Collecting python-dateutil>=2.8.2 (from pandas>=1.2->bokeh)
+  Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
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+Collecting pytz>=2020.1 (from pandas>=1.2->bokeh)
+  Downloading pytz-2023.3-py2.py3-none-any.whl (502 kB)
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+Collecting tzdata>=2022.1 (from pandas>=1.2->bokeh)
+  Downloading tzdata-2023.3-py2.py3-none-any.whl (341 kB)
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+Collecting six>=1.5 (from python-dateutil>=2.8.2->pandas>=1.2->bokeh)
+  Downloading six-1.16.0-py2.py3-none-any.whl (11 kB)
+Installing collected packages: pytz, xyzservices, tzdata, tornado, six, PyYAML, pillow, packaging, numpy, MarkupSafe, python-dateutil, Jinja2, contourpy, pandas, bokeh
+Successfully installed Jinja2-3.1.2 MarkupSafe-2.1.2 PyYAML-6.0 bokeh-3.1.1 contourpy-1.0.7 numpy-1.24.3 packaging-23.1 pandas-2.0.1 pillow-9.5.0 python-dateutil-2.8.2 pytz-2023.3 six-1.16.0 tornado-6.3.1 tzdata-2023.3 xyzservices-2023.2.0
+</pre></html></WRAP>
+</WRAP>
+==== JupyterLab で利用する場合 ====
+公式: [[https://docs.bokeh.org/en/latest/docs/user_guide/output/jupyter.html#jupyterlab|Jupyter — Bokeh 3.1.1 Documentation]] [[gtr>https://docs.bokeh.org/en/latest/docs/user_guide/output/jupyter.html#jupyterlab|翻訳]]\\
+サンプル: [[git>bokeh/bokeh/blob/3.1.1/examples/server/api/notebook_embed.ipynb|]]\\
+<WRAP color_term>
+<WRAP color_command><html><pre>
+<b class=GRN>$</b> <b class=HIY>pip</b> install jupyter_bokeh
+</pre></html></WRAP>
+<WRAP color_result_long><html><pre>
+Collecting jupyter_bokeh
+  Downloading jupyter_bokeh-3.0.7-py3-none-any.whl (1.4 MB)
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+Collecting bokeh==3.* (from jupyter_bokeh)
+  Downloading bokeh-3.1.1-py3-none-any.whl (8.3 MB)
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+Collecting ipywidgets==8.* (from jupyter_bokeh)
+  Downloading ipywidgets-8.0.6-py3-none-any.whl (138 kB)
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+Collecting Jinja2>=2.9 (from bokeh==3.*->jupyter_bokeh)
+  Downloading Jinja2-3.1.2-py3-none-any.whl (133 kB)
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+Collecting contourpy>=1 (from bokeh==3.*->jupyter_bokeh)
+  Downloading contourpy-1.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299 kB)
+     <b class=PipBAR>━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━</b> <b class=GRN>300.0/300.0 kB</b> <b class=RED>3.0 MB/s</b> eta <b class=CYN>0:00:00</b>
+Collecting numpy>=1.16 (from bokeh==3.*->jupyter_bokeh)
+  Downloading numpy-1.24.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB)
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+Collecting packaging>=16.8 (from bokeh==3.*->jupyter_bokeh)
+  Downloading packaging-23.1-py3-none-any.whl (48 kB)
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+Collecting pandas>=1.2 (from bokeh==3.*->jupyter_bokeh)
+  Downloading pandas-2.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.2 MB)
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+Collecting pillow>=7.1.0 (from bokeh==3.*->jupyter_bokeh)
+  Downloading Pillow-9.5.0-cp311-cp311-manylinux_2_28_x86_64.whl (3.4 MB)
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+Collecting PyYAML>=3.10 (from bokeh==3.*->jupyter_bokeh)
+  Downloading PyYAML-6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (757 kB)
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+Collecting tornado>=5.1 (from bokeh==3.*->jupyter_bokeh)
+  Downloading tornado-6.3.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (426 kB)
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+Collecting xyzservices>=2021.09.1 (from bokeh==3.*->jupyter_bokeh)
+  Downloading xyzservices-2023.2.0-py3-none-any.whl (55 kB)
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+Collecting ipykernel>=4.5.1 (from ipywidgets==8.*->jupyter_bokeh)
+  Downloading ipykernel-6.23.1-py3-none-any.whl (152 kB)
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+Collecting ipython>=6.1.0 (from ipywidgets==8.*->jupyter_bokeh)
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+Collecting traitlets>=4.3.1 (from ipywidgets==8.*->jupyter_bokeh)
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+Collecting widgetsnbextension~=4.0.7 (from ipywidgets==8.*->jupyter_bokeh)
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+Collecting jupyterlab-widgets~=3.0.7 (from ipywidgets==8.*->jupyter_bokeh)
+  Downloading jupyterlab_widgets-3.0.7-py3-none-any.whl (198 kB)
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+Collecting comm>=0.1.1 (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh)
+  Downloading comm-0.1.3-py3-none-any.whl (6.6 kB)
+Collecting debugpy>=1.6.5 (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh)
+  Downloading debugpy-1.6.7-py2.py3-none-any.whl (4.9 MB)
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+Collecting jupyter-client>=6.1.12 (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh)
+  Downloading jupyter_client-8.2.0-py3-none-any.whl (103 kB)
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+Collecting jupyter-core!=5.0.*,>=4.12 (from ipykernel>=4.5.1->ipywidgets==8.*->jupyter_bokeh)
+  Downloading jupyter_core-5.3.0-py3-none-any.whl (93 kB)
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+Installing collected packages: wcwidth, pytz, pure-eval, ptyprocess, pickleshare, executing, backcall, xyzservices, widgetsnbextension, tzdata, traitlets, tornado, six, pyzmq, PyYAML, pygments, psutil, prompt-toolkit, platformdirs, pillow, pexpect, parso, packaging, numpy, nest-asyncio, MarkupSafe, jupyterlab-widgets, decorator, debugpy, python-dateutil, matplotlib-inline, jupyter-core, Jinja2, jedi, contourpy, comm, asttokens, stack-data, pandas, jupyter-client, ipython, bokeh, ipykernel, ipywidgets, jupyter_bokeh
+Successfully installed Jinja2-3.1.2 MarkupSafe-2.1.2 PyYAML-6.0 asttokens-2.2.1 backcall-0.2.0 bokeh-3.1.1 comm-0.1.3 contourpy-1.0.7 debugpy-1.6.7 decorator-5.1.1 executing-1.2.0 ipykernel-6.23.1 ipython-8.13.2 ipywidgets-8.0.6 jedi-0.18.2 jupyter-client-8.2.0 jupyter-core-5.3.0 jupyter_bokeh-3.0.7 jupyterlab-widgets-3.0.7 matplotlib-inline-0.1.6 nest-asyncio-1.5.6 numpy-1.24.3 packaging-23.1 pandas-2.0.1 parso-0.8.3 pexpect-4.8.0 pickleshare-0.7.5 pillow-9.5.0 platformdirs-3.5.1 prompt-toolkit-3.0.38 psutil-5.9.5 ptyprocess-0.7.0 pure-eval-0.2.2 pygments-2.15.1 python-dateutil-2.8.2 pytz-2023.3 pyzmq-25.0.2 six-1.16.0 stack-data-0.6.2 tornado-6.3.2 traitlets-5.9.0 tzdata-2023.3 wcwidth-0.2.6 widgetsnbextension-4.0.7 xyzservices-2023.2.0
+</pre></html></WRAP>
+</WRAP>