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
代码语言：javascript复制import plotly.express as px
df = px.data.tips()
df
绘图
代码语言：javascript复制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
代码语言：javascript复制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, yellowgreengo.Figure实现
数据
代码语言：javascript复制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
代码语言：javascript复制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()
如果设置成False的话，效果为：
