我正在嘗試使用單個標記在同一張圖上繪制一系列曲線：
- 每條曲線都有一種顏色
- 每個資料點都有自己的標記
為此，我創建了 3 個串列串列x_data：y_data和markers。使用np.array(),x_data和y_data可以正確繪制為不同的曲線（使用單獨的顏色）。
但是，np.array()不能與屬性一起使用marker，我不知道如何傳遞markers給ax.plot().
有人知道如何對單個標記進行歸因嗎？
MWE
import matplotlib.pyplot as plt
import numpy as np
x_data=[[1,2,3,4,5],[5,10,3,8,6]]
y_data=[[5,10,3,8,6],[1,2,3,4,5]]
markers=[["o"," ","D"," ","D"],["D","o","o","D"," "]]
fig, ax = plt.subplots()
for n in range(0,len(x_data)):
ax.plot(np.array(x_data[n]), np.array(y_data[n]),linewidth=1,marker=np.array(markers))
plt.show()
uj5u.com熱心網友回復：
一個選項是一個內部回圈來單獨散點圖每個標記：
import matplotlib.pyplot as plt
import numpy as np
x_data=[[1,2,3,4,5],[5,10,3,8,6]]
y_data=[[5,10,3,8,6],[1,2,3,4,5]]
markers=[["o"," ","D"," ","D"],["D","o","o","D"," "]]
fig, ax = plt.subplots()
for xs, ys, markers in zip(x_data, y_data, markers):
line = ax.plot(xs, ys, linewidth=1)
colour = line[0].get_color()
for x, y, marker in zip(xs, ys, markers):
ax.scatter(x, y, marker=marker, color=colour)
plt.show()
輸出：
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