For matplotlib, I used this code to change a default color cycle setting, so that I could plot multiple lines with colors in this cycle.
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()
How can I do this for plotly as well?
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")
I often use from itertools import cycle
and next(<list of colors>)
where <list of colors>
could be any sequence of colors, like px.colors.qualitative.Alphabet
.
Here's a setup that comes close to what you're looking for:
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
)
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()