Programming

PS C:\Users\h> docker ps
CONTAINER ID   IMAGE     COMMAND   CREATED   STATUS    PORTS     NAMES
PS C:\Users\h> docker --version
Docker version 20.10.20, build 9fdeb9c
PS C:\Users\h> wsl -l -v
  NAME                   STATE           VERSION
* Ubuntu                 Running         2
  docker-desktop         Running         2
  docker-desktop-data    Running         2

$ dism.exe /online /enable-feature /featurename:Microsoft-Windows-Subsystem-Linux /all /norestart
$ dism.exe /online /enable-feature /featurename:VirtualMachinePlatform /all /norestart

$ wsl --set-default-version 2
WSL 2와의 주요 차이점에 대한 자세한 내용은 https://aka.ms/wsl2를 참조하세요

import plotly.express as px 

tips = px.data.tips()
tips_mean_day = tips.groupby("day").mean().reset_index()
tips_mean_day.head()

fig = px.bar(tips_mean_day, x = 'day', y = 'tip')
fig.show()

fig.data[0].marker.color = ['#ff0000', '#ff0000', 'black', '#ff0000']
fig.layout.xaxis.categoryarray = ["Thur", "Fri", "Sat", "Sun"]
fig.show()

fig.data[0].marker.color = ['#ff0000', '#ff0000', 'black', '#ff0000']
fig.data[0].marker.opacity = [0.3, 0.3, 1, 0.3]
fig.layout.xaxis.categoryarray = ["Thur", "Fri", "Sat", "Sun"]
fig.show()

import plotly.express as px 

tips = px.data.tips()
tips_mean_day = tips.groupby("day").mean().reset_index()
tips_mean_day.head()

fig = px.bar(tips_mean_day, x = 'day', y = 'tip')
fig.show()

fig = px.bar(tips_mean_day, x = 'day', y = 'tip', category_orders={"day": ["Thur", "Fri", "Sat", "Sun"]})
fig.show()

import plotly.graph_objects as go
weekly_sales = dict({
    "data": [{
        "type": "bar", 
        "x": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"], 
        "y": [28, 27, 25, 31, 32, 35, 36]
    }], 
    "layout" : {"title": {"text": "Sales of the week", 
                          "x": 0.5, "font": {"color": "red", "size": 15}}}
})

fig = go.Figure(weekly_sales)
fig.show()

plotly.io.templates

Templates configuration
-----------------------
    Default template: 'plotly'
    Available templates:
        ['ggplot2', 'seaborn', 'simple_white', 'plotly',
         'plotly_white', 'plotly_dark', 'presentation', 'xgridoff',
         'ygridoff', 'gridon', 'none']

fig.layout.template = 'ggplot2'
fig.show()

fig.write_html('html_plot.html', config={'toImageButtonOptions':{'format': 'svg'}})

fig.write_image('path/to/image_file.svg',height=600, width=850)

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-11-691564193a43> in <module>
----> 1 fig.write_image('img/tutorial.png', height = 600, width = 850)

/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/plotly/basedatatypes.py in write_image(self, *args, **kwargs)
   3819         import plotly.io as pio
   3820 
-> 3821         return pio.write_image(self, *args, **kwargs)
   3822 
   3823     # Static helpers

/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/plotly/io/_kaleido.py in write_image(fig, file, format, scale, width, height, validate, engine)
    266     # -------------
    267     # Do this first so we don't create a file if image conversion fails
--> 268     img_data = to_image(
    269         fig,
    270         format=format,

/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/site-packages/plotly/io/_kaleido.py in to_image(fig, format, width, height, scale, validate, engine)
    132     # Raise informative error message if Kaleido is not installed
    133     if scope is None:
--> 134         raise ValueError(
    135             """
    136 Image export using the "kaleido" engine requires the kaleido package,

ValueError: 
Image export using the "kaleido" engine requires the kaleido package,
which can be installed using pip:
    $ pip install -U kaleido

pip install -U kaleido

fig.write_image('img/tutorial.png', height = 600, width = 850)

import plotly.graph_objects as go

fig = go.Figure()
fig.show()