1. 概览

2. 安装

import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
# you can also use `fig.show()`
fig.write_html("first_figure.html", auto_open=True)

3. 在Dash中使用Plotly

import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from dash.dependencies import Input, Output
app = dash.Dash(__name__)
app.layout = html.Div([
    html.P("Color:"),
    dcc.Dropdown(
        id="dropdown",
        options=[
            {"label": x, "value": x}
            for x in ["Gold", "MediumTurquoise", "LightGreen"]
        ],
        value="Gold",
        clearable=False
    ),
    dcc.Graph(id="graph")
])
@app.callback(
    Output("graph", "figure"),
    [Input("dropdown", "value")])
def display_color(color):
    fig = go.Figure(data=go.Bar(y=[2, 3, 1], marker_color=color))
    return fig
app.run_server(debug=True)

clearable 如果设置为 True，则在下拉框中会出现一个 x 清除选项

4. Jupyter Notebook支持

import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
fig.show()

💡 你也可以直接使用 FigureWidget 对象，改写上面语句为 fig = go.FigureWidget(data=go.Bar(y=[2, 3, 1])) ，显示的页面效果是一样的。

5. JupyterLab支持

6. 静态图片导出

6.1 Kaleido

6.2 Orca

7. Geo地图扩展支持

8. Chart Studio支持

9. Dash是什么？

import dash
import plotly.graph_objects as go
import dash_core_components as dcc
import dash_html_components as html
fig = go.Figure()
app = dash.Dash()
app.layout = html.Div([
    dcc.Graph(figure=fig)
])
app.run_server(debug=True, use_reloader=False)