Plotly-express-19-plotly Specifies the size of a graph
This article describes how to set the size of a graph in Plotly in two ways
pximplementationgo.Figureimplementation
Px implementation
data
The data uses the built-in TIPS data set in PX
import plotly.express as px
df = px.data.tips()
df
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drawing
fig = px.scatter(df, x="total_bill", y="tip", facet_col="sex",facet_row="smoker".# horizontal and vertical reference properties
width=1000, height=600)
fig.update_layout(
margin=dict(l=20, r=20, t=20, b=20), # Top, bottom, left, and right margins
paper_bgcolor="dodgerblue".# color
)
fig.show()
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color
Recorded all the colors
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
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data
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()
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The second case
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 automatically moves to the appropriate position on the left
fig.show()
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If set to False, the effect is:
