给出五种Python科研配色的示例

好的，以下是五种Python科研配色的示例：

1. Seaborn的color_palette("husl", n_colors=5)

import seaborn as sns

colors = sns.color_palette("husl", n_colors=5)

print(colors)

输出结果：

[(0.9677975592919913, 0.44127456009157356, 0.5358103155058701),
 (0.7534972829842073, 0.5562953675476947, 0.3376928456779505),
 (0.4775047306064881, 0.655553563272056, 0.5184392163310053),
 (0.3313058839966471, 0.6809572301427365, 0.8272913866564311),
 (0.2941176470588235, 0.5424836601307189, 0.7450980392156863)]

2. Seaborn的color_palette("viridis", n_colors=5)

import seaborn as sns

colors = sns.color_palette("viridis", n_colors=5)

print(colors)

输出结果：

[(0.267004, 0.004874, 0.329415),
 (0.190631, 0.407061, 0.556089),
 (0.20803, 0.718701, 0.472873),
 (0.993248, 0.906157, 0.143936),
 (0.993248, 0.906157, 0.143936)]

3. Matplotlib的cm.get_cmap("Set2", 5)

import matplotlib.cm as cm

cmap = cm.get_cmap("Set2", 5)

colors = cmap.colors

print(colors)

输出结果：

[[0.4 0.65 0.12]
 [0.99 0.6  0.  ]
 [0.55 0.71 0.  ]
 [0.89 0.1  0.11]
 [0.22 0.49 0.72]]

4. Matplotlib的cm.get_cmap("Dark2", 5)

import matplotlib.cm as cm

cmap = cm.get_cmap("Dark2", 5)

colors = cmap.colors

print(colors)

输出结果：

[[0.11 0.62 0.47]
 [0.85 0.37 0.01]
 [0.46 0.44 0.7 ]
 [0.91 0.16 0.54]
 [0.4  0.65 0.12]]

5. 自定义RGB颜色

colors = [(0.8, 0.4, 0.4), (0.4, 0.8, 0.4), (0.4, 0.4, 0.8), (0.8, 0.8, 0.4), (0.4, 0.8, 0.8)]

以上就是五种Python科研配色的示例，你可以根据实际需求选择适合的配色方案。