将 maptlotlib 的默认样式更改为 seaborn 会导致一些图例标记无法正确显示。
考虑以下 MWE，其中所有来自 official documentation 的图例标记被绘制。首先使用默认样式制作绘图，然后使用 Seaborn 的样式。
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
# https://matplotlib.org/api/markers_api.html
keys = ["point", "pixel", "circle", r"triangle_down", r"triangle_up",
r"triangle_left", r"triangle_right", r"tri_down", r"tri_up",
r"tri_left", r"tri_right", "octagon", "square", "pentagon",
"plus (filled)", "star", "hexagon1", "hexagon2", "plus", "x",
"x (filled)", "diamond", r"thin_diamond", "vline", "hline"]
values = [".", ",", "o", "v", "^", "<", ">", "1", "2", "3", "4", "8", "s", "p",
"P", "*", "h", "H", "+", "x", "X", "D", "d", "|", "_"]
# Make dictionary of markers and their description
markers = dict(zip(keys, values))
# Plot all markers with default style and seaborn style
for style in 'default', 'seaborn':
plt.style.use(style)
# Create handles for legend call
legend_elements = []
for key, value in markers.items():
legend_elements.append(Line2D([0], [0], markersize=10, marker=value,
label=key))
# Create the figure
fig, ax = plt.subplots(figsize=[6, 4])
ax.legend(handles=legend_elements, loc='center', ncol=3)
plt.show()
上面给了我以下两张图:
请注意，使用默认样式时，所有标记都按预期显示。但是，对于 seaborn，一些标记不会(tri_down、tri_up、tri_left、tri_right、plus、x、vline)。看起来填充的标记有效，但其他标记无效。这可能与填充颜色和边缘颜色有关吗？
有人可以解释为什么 seaborn 标记没有按我的预期显示或者我做错了什么吗？谢谢。
请您参考如下方法:
你是对的。由于某些原因，seaborn 的样式表中标记的线宽为零，这使得未填充的标记消失了
print("Value of 'lines.markeredgewidth' in rcParams")
for style in 'default', 'seaborn':
plt.style.use(style)
print(style, ': ', matplotlib.rcParams['lines.markeredgewidth'])
>>
Value of 'lines.markeredgewidth' in rcParams
default : 1.0
seaborn : 0.0
在 rcParams 中更改此参数可以防止这种情况发生:
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
# https://matplotlib.org/api/markers_api.html
keys = ["point", "pixel", "circle", r"triangle_down", r"triangle_up",
r"triangle_left", r"triangle_right", r"tri_down", r"tri_up",
r"tri_left", r"tri_right", "octagon", "square", "pentagon",
"plus (filled)", "star", "hexagon1", "hexagon2", "plus", "x",
"x (filled)", "diamond", r"thin_diamond", "vline", "hline"]
values = [".", ",", "o", "v", "^", "<", ">", "1", "2", "3", "4", "8", "s", "p",
"P", "*", "h", "H", "+", "x", "X", "D", "d", "|", "_"]
# Make dictionary of markers and their description
markers = dict(zip(keys, values))
# Plot all markers with default style and seaborn style
for style in 'default', 'seaborn':
plt.style.use(style)
matplotlib.rcParams['lines.markeredgewidth'] = 1.
# Create handles for legend call
legend_elements = []
for key, value in markers.items():
legend_elements.append(Line2D([0], [0], markersize=10, marker=value,
label=key))
# Create the figure
fig, ax = plt.subplots(figsize=[6, 4])
ax.legend(handles=legend_elements, loc='center', ncol=3)
plt.show()
