. . . . . . . . . 37 9 使用图表 39 9.1 Line Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 9.2 Bar Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 9.3 Pie Chart . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 9.4 Scatter Plot . . . . . . . . . CHAPTER 9 使用图表 9.1 Line Chart LineChart takes a list of of the data (numbers, will be the x axis), and a list of the lables: chart_labels = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] chart_data = [1.5, 2.3, 4.3

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [h library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [h library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo plotly library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio

the PyWebIO session to setup Bokeh environment. Then you can use bokeh.io.show() to output a boken chart: from bokeh.io import output_notebook from bokeh.io import show output_notebook(notebook_type='pywebio') PyWebIO, you can use the following code to output the pyecharts chart instance: # `chart` is pyecharts chart instance pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [h library for Python. In PyWebIO, you can use the following code to output the plotly chart instance: # `fig` is plotly chart instance html = fig.to_html(include_plotlyjs="require", full_html=False) pywebio