python - Plotly - 从颜色图中设置颜色循环

Question

对于 matplotlib，我使用此代码更改默认颜色循环设置，以便我可以在此循环中使用颜色绘制多条线。

n = 24
color = plt.cm.viridis(np.linspace(0, 1,n))
mpl.rcParams['axes.prop_cycle'] = cycler.cycler('color', color) 

for i in range(30):
    plt.plot(x,y,data[data["col1"]==i]) 
plt.show()

我怎样才能在 plotly 上做到这一点？

fig = px.line(data[data["col1"]==i],x,y)

for i in range(30):
    fig.add_scatter(x,y,data[data["col1"]==i],mode="line") 

Answer 1

我经常使用from itertools import cycle和next(<list of colors>)哪里<list of colors>可以是任何颜色序列，例如 px.colors.qualitative.Alphabet .

这是一个接近您正在寻找的设置:

fig = go.Figure()
for i in range(lines):
    color =  next(col_cycle)
    fig.add_scatter(x = np.arange(0,rows),
                    y = np.random.randint(-5, 6, size=rows).cumsum(),
                    mode="lines",
                    line_color = color,
                    name = color
                   ) 

绘图

完整代码:

from itertools import cycle
import numpy as np
col_cycle = cycle(px.colors.qualitative.Alphabet)

rows = 10
lines = 30

fig = go.Figure()
for i in range(lines):
    color =  next(col_cycle)
    fig.add_scatter(x = np.arange(0,rows),
                    y = np.random.randint(-5, 6, size=rows).cumsum(),
                    mode="lines",
                    line_color = color,
                    name = color
                   ) 
fig.show()