来自 plotly 的三元图
Ternary plot from plotly
enter image description here
我想在三元图中添加线条(水平、垂直)以突出显示某些部分。
可以帮帮我吗?
三元图
代码如下:
fig = px.scatter_ternary(df,a=df.a, b =df.b, c=df.c, symbol=data_small.Time,
color = df.x, size_max = 'size', opacity = [1,1], title=s,
symbol_sequence = [1,0])
fig.update_layout({
'ternary':
{'sum':1,
'aaxis':{'title': ' a<br>', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]},
'baxis':{'title': '<br>b', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]},
'caxis':{'title': '<br>c', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]}}})
fig.show()
我从来没有用过这种图表,但是由于official reference画了一个圆,我觉得可以画一条线,所以我定制了它。简而言之,就是px.scatter_ternary+go.Scatterternary的组合。我无法回答有关坐标的问题。
import plotly.express as px
import plotly.graph_objects as go
df = px.data.election()
fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", hover_name="district",
color="winner", size="total", size_max=15,
color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} )
fig.add_trace(
go.Scatterternary(a=[0.1, 0.5],
b=[0.9, 0.5],
c=[0.1, 0.4],
mode='lines',
marker=dict(color='purple'),
line=dict(width=4),
showlegend=False)
)
fig.show()
enter image description here
我想在三元图中添加线条(水平、垂直)以突出显示某些部分。 可以帮帮我吗?
三元图
代码如下:
fig = px.scatter_ternary(df,a=df.a, b =df.b, c=df.c, symbol=data_small.Time,
color = df.x, size_max = 'size', opacity = [1,1], title=s,
symbol_sequence = [1,0])
fig.update_layout({
'ternary':
{'sum':1,
'aaxis':{'title': ' a<br>', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]},
'baxis':{'title': '<br>b', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]},
'caxis':{'title': '<br>c', 'min': 0,
'linewidth':2, 'ticks':'outside',
'tickmode':'array','tickvals':[0,0.1,0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9]}}})
fig.show()
我从来没有用过这种图表,但是由于official reference画了一个圆,我觉得可以画一条线,所以我定制了它。简而言之,就是px.scatter_ternary+go.Scatterternary的组合。我无法回答有关坐标的问题。
import plotly.express as px
import plotly.graph_objects as go
df = px.data.election()
fig = px.scatter_ternary(df, a="Joly", b="Coderre", c="Bergeron", hover_name="district",
color="winner", size="total", size_max=15,
color_discrete_map = {"Joly": "blue", "Bergeron": "green", "Coderre":"red"} )
fig.add_trace(
go.Scatterternary(a=[0.1, 0.5],
b=[0.9, 0.5],
c=[0.1, 0.4],
mode='lines',
marker=dict(color='purple'),
line=dict(width=4),
showlegend=False)
)
fig.show()