plotly-express-19-设置图形的大小

皮大大

发布于 2021-03-01 08:07:28

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文章被收录于专栏：机器学习/数据可视化机器学习/数据可视化

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代码可运行

Plotly-express-19-plotly中设置图形大小

本文中介绍的是如何在plotly中通过两种方法来设置图形的大小

px实现
go.Figure实现

px实现

数据

数据使用的是px中自带的tips数据集

import plotly.express as px

df = px.data.tips()
df

绘图

fig = px.scatter(df, x="total_bill", y="tip", facet_col="sex",facet_row="smoker",  # 横纵坐标的参考属性
                 width=1000, height=600)

fig.update_layout(
    margin=dict(l=20, r=20, t=20, b=20),  # 上下左右的边距大小
    paper_bgcolor="dodgerblue",  # 颜色
)

fig.show()

颜色

记录了全部颜色

liceblue, antiquewhite, aqua, aquamarine, azure,
            beige, bisque, black, blanchedalmond, blue,
            blueviolet, brown, burlywood, cadetblue,
            chartreuse, chocolate, coral, cornflowerblue,
            cornsilk, crimson, cyan, darkblue, darkcyan,
            darkgoldenrod, darkgray, darkgrey, darkgreen,
            darkkhaki, darkmagenta, darkolivegreen, darkorange,
            darkorchid, darkred, darksalmon, darkseagreen,
            darkslateblue, darkslategray, darkslategrey,
            darkturquoise, darkviolet, deeppink, deepskyblue,
            dimgray, dimgrey, dodgerblue, firebrick,
            floralwhite, forestgreen, fuchsia, gainsboro,
            ghostwhite, gold, goldenrod, gray, grey, green,
            greenyellow, honeydew, hotpink, indianred, indigo,
            ivory, khaki, lavender, lavenderblush, lawngreen,
            lemonchiffon, lightblue, lightcoral, lightcyan,
            lightgoldenrodyellow, lightgray, lightgrey,
            lightgreen, lightpink, lightsalmon, lightseagreen,
            lightskyblue, lightslategray, lightslategrey,
            lightsteelblue, lightyellow, lime, limegreen,
            linen, magenta, maroon, mediumaquamarine,
            mediumblue, mediumorchid, mediumpurple,
            mediumseagreen, mediumslateblue, mediumspringgreen,
            mediumturquoise, mediumvioletred, midnightblue,
            mintcream, mistyrose, moccasin, navajowhite, navy,
            oldlace, olive, olivedrab, orange, orangered,
            orchid, palegoldenrod, palegreen, paleturquoise,
            palevioletred, papayawhip, peachpuff, peru, pink,
            plum, powderblue, purple, red, rosybrown,
            royalblue, rebeccapurple, saddlebrown, salmon,
            sandybrown, seagreen, seashell, sienna, silver,
            skyblue, slateblue, slategray, slategrey, snow,
            springgreen, steelblue, tan, teal, thistle, tomato,
            turquoise, violet, wheat, white, whitesmoke,
            yellow, yellowgreen

go.Figure实现

数据

import plotly.graph_objects as go

fig = go.Figure()

fig.add_trace(go.Scatter(
    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],
    y=[0, 1, 2, 3, 4, 5, 6, 7, 8]
))

fig.update_layout(
    autosize=False,
    width=800,
    height=800,
    margin=dict(
        l=50,
        r=50,
        b=100,
        t=100,
        pad=9
    ),
    paper_bgcolor="mediumaquamarine",
)

fig.show()

第二个案例

import plotly.graph_objects as go


fig = go.Figure()

fig.add_trace(go.Bar(
    x=["Apples", "Oranges", "Watermelon", "Pears"],
    y=[3, 2, 1, 4]
))

fig.update_layout(
    autosize=False,
    width=1000,
    height=800,
    yaxis=dict(
        title_text="Y-axis Title",
        ticktext=["Very long label", "long label", "3", "label"],
        tickvals=[1, 2, 3, 4],
        tickmode="array",
        titlefont=dict(size=50),
    )
)

fig.update_yaxes(automargin=True)  # Y-axis Title自动移到左边合适的位置

fig.show()