本文目录1、palettable快速安装pip install palettable -i https://pypi.tuna.tsinghua.edu.cn/simple
2、palettable颜色条(colormap)快速使用导入palettable包import palettablefrom palettable.cartocolors.qualitative import bold_9#为了描述方便，此处直接倒入palettable.cartocolors.qualitative大类下的bold_9小类，#实际使用时可直接用palettable.cartocolors.qualitative.bold_9
palettable重要属性-可视化色度条bold_9.show_discrete_image()#bold_9各种颜色条图片
palettable重要属性-输出色度条中单颜色的数目print(bold_9.number)#bold_9这种colormap中单颜色的数目
9即上面的图片有9格
palettable重要属性-输出色度条中单颜色的色号值print(bold_9.colors)#bold_9 colormap中每种颜色的rgb格式色号print(bold_9.hex_colors)#bold_9 colormap中每种颜色的hex格式色号print(bold_9.mpl_colors)#rgb tuples in the range 0-1 as used by matplotlib
[[127, 60, 141], [17, 165, 121], [57, 105, 172], [242, 183, 1], [231, 63, 116], [128, 186, 90], [230, 131, 16], [0, 134, 149], [207, 28, 144]]
['#7f3c8d', '#11a579', '#3969ac', '#f2b701', '#e73f74', '#80ba5a', '#e68310', '#008695', '#cf1c90']
[(0.4980392156862745, 0.23529411764705882, 0.5529411764705883), (0.06666666666666667, 0.6470588235294118, 0.4745098039215686), (0.2235294117647059, 0.4117647058823529, 0.6745098039215687), (0.9490196078431372, 0.7176470588235294, 0.00392156862745098), (0.9058823529411765, 0.24705882352941178, 0.4549019607843137), (0.5019607843137255, 0.7294117647058823, 0.35294117647058826), (0.9019607843137255, 0.5137254901960784, 0.06274509803921569), (0.0, 0.5254901960784314, 0.5843137254901961), (0.8117647058823529, 0.10980392156862745, 0.5647058823529412)]
matplotlib中使用palettable例子来自matplotlib-饼图（pie）
import matplotlib.pyplot as pltimport matplotlib as mplimport palettablempl.rc_file_defaults()my_dpi = 96plt.figure(figsize=(580 / my_dpi, 580 / my_dpi), dpi=my_dpi)plt.subplot(221)patches, texts, autotexts = plt.pie( x=[1, 2, 3], labels=['a', 'b', 'c'], #使用palettable.tableau.bluered_6 colors=palettable.tableau.bluered_6.mpl_colors[0:3], autopct='%.2f%%', explode=(0.1, 0, 0))patches[0].set_alpha(0.3)patches[2].set_hatch('|')patches[1].set_hatch('x')plt.title('tableau.bluered_6', size=12)mpl.rc_file_defaults()plt.subplot(222)patches, texts, autotexts = plt.pie( x=[1, 2, 3], labels=['a', 'b', 'c'], #使用palettable.cartocolors.qualitative.bold_9 colors=palettable.cartocolors.qualitative.bold_9.mpl_colors[0:3], autopct='%.2f%%', explode=(0.1, 0, 0))patches[0].set_alpha(0.3)patches[2].set_hatch('|')patches[1].set_hatch('x')plt.title('cartocolors.qualitative.bold_9', size=12)mpl.rc_file_defaults()plt.subplot(223)patches, texts, autotexts = plt.pie( x=[1, 2, 3], labels=['a', 'b', 'c'], #使用palettable.cartocolors.qualitative.bold_9 colors=palettable.cartocolors.qualitative.bold_9.mpl_colors[0:3], autopct='%.2f%%', explode=(0.1, 0, 0))patches[0].set_alpha(0.3)patches[2].set_hatch('|')patches[1].set_hatch('x')plt.title('cartocolors.qualitative.bold_9', size=12)plt.subplot(223)patches, texts, autotexts = plt.pie( x=[1, 2, 3], labels=['a', 'b', 'c'], #使用palettable.lightbartlein.sequential.blues10_5 colors=palettable.lightbartlein.sequential.blues10_5.mpl_colors[0:3], autopct='%.2f%%', explode=(0.1, 0, 0))#matplotlib.patches.wedgepatches[0].set_alpha(0.3)patches[2].set_hatch('|')patches[1].set_hatch('x')plt.title('lightbartlein.sequential.blues10_5', size=12)plt.subplot(224)patches, texts, autotexts = plt.pie( x=[1, 2, 3], labels=['a', 'b', 'c'], colors=palettable.wesanderson.moonrise5_6.mpl_colors[0:3], autopct='%.2f%%', explode=(0.1, 0, 0))patches[0].set_alpha(0.3)patches[2].set_hatch('|')patches[1].set_hatch('x')plt.title('wesanderson.moonrise5_6', size=12)plt.show()
seaborn中使用palettable例子来自几行代码绘制靓丽矩阵图
使用palettable.tableau.trafficlight_9
import seaborn as snsiris_sns = sns.load_dataset("iris")import palettableg = sns.pairplot( iris_sns, hue='species', palette=palettable.tableau.trafficlight_9.mpl_colors, #matplotlib颜色)sns.set(style='whitegrid')g.fig.set_size_inches(10, 8)sns.set(style='whitegrid', font_scale=1.5)
使用palettable.tableau.bluered_6
使用palettable.cartocolors.qualitative.bold_9使用palettable.wesanderson.moonrise5_6使用palettable.cartocolors.diverging.armyrose_7_r
3、palettable包含那些颜色条(colormap)palettable下面有16大类colormap，共计1587小类colormap，合计上万种单颜色可供使用，已经整理为pdf格式，感兴趣的可以
包含以下16大类
palettable.cartocolors.divergingpalettable.cartocolors.qualitativepalettable.cartocolors.sequentialpalettable.cmocean.divergingpalettable.cmocean.sequentialpalettable.colorbrewer.divergingpalettable.colorbrewer.qualitativepalettable.colorbrewer.sequentialpalettable.lightbartlein.divergingpalettable.lightbartlein.sequentialpalettable.scientific.divergingpalettable.scientific.sequentialpalettable.matplotlibpalettable.mycartapalettable.tableaupalettable.wesanderson
共计1587小类【每个小类还有逆类，名称后面加“_r”即可】上面16大类下面有数个小类，例如，著名bi软件tableau的配色条palettable.tableau这一大类，下面有palettable.tableau.bluered_12，palettable.tableau.greenorange_12等等数个小类：
palettable.tableau.bluered_12palettable.tableau.bluered_6palettable.tableau.colorblind_10palettable.tableau.gray_5palettable.tableau.greenorange_12palettable.tableau.greenorange_6palettable.tableau.purplegray_12palettable.tableau.purplegray_6palettable.tableau.tableaulight_10palettable.tableau.tableaumedium_10palettable.tableau.tableau_10palettable.tableau.tableau_20palettable.tableau.trafficlight_9
也就是类似上面的这种有1587行。
以上就是调色板界的“扛把子”-palettable的详细内容。