456 lines
21 KiB
Python
456 lines
21 KiB
Python
# Module: figure_plotting
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import guan
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# 导入plt, fig, ax
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@guan.statistics_decorator
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def import_plt_and_start_fig_ax(adjust_bottom=0.2, adjust_left=0.2, labelsize=20, fontfamily='Times New Roman'):
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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plt.subplots_adjust(bottom=adjust_bottom, left=adjust_left)
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ax.grid()
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ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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labels = ax.get_xticklabels() + ax.get_yticklabels()
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[label.set_fontname('Times New Roman') for label in labels]
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return plt, fig, ax
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# 基于plt, fig, ax画图
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@guan.statistics_decorator
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def plot_without_starting_fig(plt, fig, ax, x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, style='', y_min=None, y_max=None, linewidth=None, markersize=None, color=None, fontfamily='Times New Roman'):
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if color==None:
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ax.plot(x_array, y_array, style, linewidth=linewidth, markersize=markersize)
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else:
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ax.plot(x_array, y_array, style, linewidth=linewidth, markersize=markersize, color=color)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y_min=min(y_array)
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if y_max==None:
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y_max=max(y_array)
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ax.set_ylim(y_min, y_max)
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# 画图
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@guan.statistics_decorator
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def plot(x_array, y_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style='', y_min=None, y_max=None, linewidth=None, markersize=None, adjust_bottom=0.2, adjust_left=0.2, fontfamily='Times New Roman'):
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import guan
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plt, fig, ax = guan.import_plt_and_start_fig_ax(adjust_bottom=adjust_bottom, adjust_left=adjust_left, labelsize=labelsize, fontfamily=fontfamily)
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ax.plot(x_array, y_array, style, linewidth=linewidth, markersize=markersize)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y_min=min(y_array)
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if y_max==None:
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y_max=max(y_array)
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ax.set_ylim(y_min, y_max)
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 一组横坐标数据，两组纵坐标数据画图
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@guan.statistics_decorator
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def plot_two_array(x_array, y1_array, y2_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style_1='', style_2='', y_min=None, y_max=None, linewidth_1=None, linewidth_2=None, markersize_1=None, markersize_2=None, adjust_bottom=0.2, adjust_left=0.2, fontfamily='Times New Roman'):
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import guan
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plt, fig, ax = guan.import_plt_and_start_fig_ax(adjust_bottom=adjust_bottom, adjust_left=adjust_left, labelsize=labelsize, fontfamily=fontfamily)
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ax.plot(x_array, y1_array, style_1, linewidth=linewidth_1, markersize=markersize_1)
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ax.plot(x_array, y2_array, style_2, linewidth=linewidth_2, markersize=markersize_2)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y1_min=min(y1_array)
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y2_min=min(y2_array)
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y_min=min([y1_min, y2_min])
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if y_max==None:
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y1_max=max(y1_array)
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y2_max=max(y2_array)
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y_max=max([y1_max, y2_max])
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ax.set_ylim(y_min, y_max)
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 两组横坐标数据，两组纵坐标数据画图
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@guan.statistics_decorator
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def plot_two_array_with_two_horizontal_array(x1_array, x2_array, y1_array, y2_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style_1='', style_2='', y_min=None, y_max=None, linewidth_1=None, linewidth_2=None, markersize_1=None, markersize_2=None, adjust_bottom=0.2, adjust_left=0.2, fontfamily='Times New Roman'):
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import guan
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plt, fig, ax = guan.import_plt_and_start_fig_ax(adjust_bottom=adjust_bottom, adjust_left=adjust_left, labelsize=labelsize, fontfamily=fontfamily)
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ax.plot(x1_array, y1_array, style_1, linewidth=linewidth_1, markersize=markersize_1)
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ax.plot(x2_array, y2_array, style_2, linewidth=linewidth_2, markersize=markersize_2)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y1_min=min(y1_array)
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y2_min=min(y2_array)
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y_min=min([y1_min, y2_min])
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if y_max==None:
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y1_max=max(y1_array)
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y2_max=max(y2_array)
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y_max=max([y1_max, y2_max])
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ax.set_ylim(y_min, y_max)
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 一组横坐标数据，三组纵坐标数据画图
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@guan.statistics_decorator
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def plot_three_array(x_array, y1_array, y2_array, y3_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style_1='', style_2='', style_3='', y_min=None, y_max=None, linewidth_1=None, linewidth_2=None, linewidth_3=None,markersize_1=None, markersize_2=None, markersize_3=None, adjust_bottom=0.2, adjust_left=0.2, fontfamily='Times New Roman'):
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import guan
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plt, fig, ax = guan.import_plt_and_start_fig_ax(adjust_bottom=adjust_bottom, adjust_left=adjust_left, labelsize=labelsize, fontfamily=fontfamily)
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ax.plot(x_array, y1_array, style_1, linewidth=linewidth_1, markersize=markersize_1)
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ax.plot(x_array, y2_array, style_2, linewidth=linewidth_2, markersize=markersize_2)
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ax.plot(x_array, y3_array, style_3, linewidth=linewidth_3, markersize=markersize_3)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y1_min=min(y1_array)
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y2_min=min(y2_array)
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y3_min=min(y3_array)
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y_min=min([y1_min, y2_min, y3_min])
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if y_max==None:
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y1_max=max(y1_array)
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y2_max=max(y2_array)
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y3_max=max(y3_array)
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y_max=max([y1_max, y2_max, y3_max])
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ax.set_ylim(y_min, y_max)
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 三组横坐标数据，三组纵坐标数据画图
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@guan.statistics_decorator
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def plot_three_array_with_three_horizontal_array(x1_array, x2_array, x3_array, y1_array, y2_array, y3_array, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=20, show=1, save=0, filename='a', file_format='.jpg', dpi=300, style_1='', style_2='', style_3='', y_min=None, y_max=None, linewidth_1=None, linewidth_2=None, linewidth_3=None,markersize_1=None, markersize_2=None, markersize_3=None, adjust_bottom=0.2, adjust_left=0.2, fontfamily='Times New Roman'):
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import guan
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plt, fig, ax = guan.import_plt_and_start_fig_ax(adjust_bottom=adjust_bottom, adjust_left=adjust_left, labelsize=labelsize, fontfamily=fontfamily)
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ax.plot(x1_array, y1_array, style_1, linewidth=linewidth_1, markersize=markersize_1)
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ax.plot(x2_array, y2_array, style_2, linewidth=linewidth_2, markersize=markersize_2)
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ax.plot(x3_array, y3_array, style_3, linewidth=linewidth_3, markersize=markersize_3)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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if y_min!=None or y_max!=None:
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if y_min==None:
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y1_min=min(y1_array)
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y2_min=min(y2_array)
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y3_min=min(y3_array)
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y_min=min([y1_min, y2_min, y3_min])
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if y_max==None:
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y1_max=max(y1_array)
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y2_max=max(y2_array)
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y3_max=max(y3_array)
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y_max=max([y1_max, y2_max, y3_max])
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ax.set_ylim(y_min, y_max)
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 画三维图
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@guan.statistics_decorator
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def plot_3d_surface(x_array, y_array, matrix, xlabel='x', ylabel='y', zlabel='z', title='', fontsize=20, labelsize=15, show=1, save=0, filename='a', file_format='.jpg', dpi=300, z_min=None, z_max=None, rcount=100, ccount=100, fontfamily='Times New Roman'):
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import numpy as np
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import matplotlib.pyplot as plt
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from matplotlib import cm
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from matplotlib.ticker import LinearLocator
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matrix = np.array(matrix)
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fig, ax = plt.subplots(subplot_kw={"projection": "3d"})
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plt.subplots_adjust(bottom=0.1, right=0.65)
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x_array, y_array = np.meshgrid(x_array, y_array)
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if len(matrix.shape) == 2:
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surf = ax.plot_surface(x_array, y_array, matrix, rcount=rcount, ccount=ccount, cmap=cm.coolwarm, linewidth=0, antialiased=False)
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elif len(matrix.shape) == 3:
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for i0 in range(matrix.shape[2]):
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surf = ax.plot_surface(x_array, y_array, matrix[:,:,i0], rcount=rcount, ccount=ccount, cmap=cm.coolwarm, linewidth=0, antialiased=False)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_zlabel(zlabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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ax.set_zlabel(zlabel, fontsize=fontsize)
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ax.zaxis.set_major_locator(LinearLocator(5))
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ax.zaxis.set_major_formatter('{x:.2f}')
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if z_min!=None or z_max!=None:
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if z_min==None:
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z_min=matrix.min()
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if z_max==None:
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z_max=matrix.max()
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ax.set_zlim(z_min, z_max)
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ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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labels = ax.get_xticklabels() + ax.get_yticklabels() + ax.get_zticklabels()
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[label.set_fontname('Times New Roman') for label in labels]
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cax = plt.axes([0.8, 0.1, 0.05, 0.8])
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cbar = fig.colorbar(surf, cax=cax)
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cbar.ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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for l in cbar.ax.yaxis.get_ticklabels():
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l.set_family('Times New Roman')
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 画Contour图
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@guan.statistics_decorator
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def plot_contour(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=15, cmap='jet', levels=None, show=1, save=0, filename='a', file_format='.jpg', dpi=300, fontfamily='Times New Roman'):
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import numpy as np
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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plt.subplots_adjust(bottom=0.2, right=0.75, left=0.2)
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x_array, y_array = np.meshgrid(x_array, y_array)
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contour = ax.contourf(x_array,y_array,matrix,cmap=cmap, levels=levels)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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labels = ax.get_xticklabels() + ax.get_yticklabels()
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[label.set_fontname('Times New Roman') for label in labels]
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cax = plt.axes([0.8, 0.2, 0.05, 0.68])
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cbar = fig.colorbar(contour, cax=cax)
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cbar.ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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for l in cbar.ax.yaxis.get_ticklabels():
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l.set_family('Times New Roman')
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 画棋盘图/伪彩色图
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@guan.statistics_decorator
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def plot_pcolor(x_array, y_array, matrix, xlabel='x', ylabel='y', title='', fontsize=20, labelsize=15, cmap='jet', levels=None, show=1, save=0, filename='a', file_format='.jpg', dpi=300, fontfamily='Times New Roman'):
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import numpy as np
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import matplotlib.pyplot as plt
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fig, ax = plt.subplots()
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plt.subplots_adjust(bottom=0.2, right=0.75, left=0.2)
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x_array, y_array = np.meshgrid(x_array, y_array)
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contour = ax.pcolor(x_array,y_array,matrix, cmap=cmap)
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if fontfamily=='Times New Roman':
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ax.set_title(title, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_xlabel(xlabel, fontsize=fontsize, fontfamily='Times New Roman')
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ax.set_ylabel(ylabel, fontsize=fontsize, fontfamily='Times New Roman')
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else:
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ax.set_title(title, fontsize=fontsize)
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ax.set_xlabel(xlabel, fontsize=fontsize)
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ax.set_ylabel(ylabel, fontsize=fontsize)
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ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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labels = ax.get_xticklabels() + ax.get_yticklabels()
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[label.set_fontname('Times New Roman') for label in labels]
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cax = plt.axes([0.8, 0.2, 0.05, 0.68])
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cbar = fig.colorbar(contour, cax=cax)
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cbar.ax.tick_params(labelsize=labelsize)
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if fontfamily=='Times New Roman':
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for l in cbar.ax.yaxis.get_ticklabels():
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l.set_family('Times New Roman')
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if save == 1:
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plt.savefig(filename+file_format, dpi=dpi)
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if show == 1:
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plt.show()
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plt.close('all')
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# 通过坐标画点和线
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@guan.statistics_decorator
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def draw_dots_and_lines(coordinate_array, draw_dots=1, draw_lines=1, max_distance=1.1, line_style='-k', linewidth=1, dot_style='ro', markersize=3, show=1, save=0, filename='a', file_format='.eps', dpi=300):
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import numpy as np
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import matplotlib.pyplot as plt
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coordinate_array = np.array(coordinate_array)
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print(coordinate_array.shape)
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x_range = max(coordinate_array[:, 0])-min(coordinate_array[:, 0])
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y_range = max(coordinate_array[:, 1])-min(coordinate_array[:, 1])
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fig, ax = plt.subplots(figsize=(6*x_range/y_range,6))
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plt.subplots_adjust(left=0, bottom=0, right=1, top=1)
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plt.axis('off')
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if draw_lines==1:
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for i1 in range(coordinate_array.shape[0]):
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for i2 in range(coordinate_array.shape[0]):
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if np.sqrt((coordinate_array[i1, 0] - coordinate_array[i2, 0])**2+(coordinate_array[i1, 1] - coordinate_array[i2, 1])**2) < max_distance:
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ax.plot([coordinate_array[i1, 0], coordinate_array[i2, 0]], [coordinate_array[i1, 1], coordinate_array[i2, 1]], line_style, linewidth=linewidth)
|
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if draw_dots==1:
|
|
for i in range(coordinate_array.shape[0]):
|
|
ax.plot(coordinate_array[i, 0], coordinate_array[i, 1], dot_style, markersize=markersize)
|
|
if show==1:
|
|
plt.show()
|
|
if save==1:
|
|
if file_format=='.eps':
|
|
plt.savefig(filename+file_format)
|
|
else:
|
|
plt.savefig(filename+file_format, dpi=dpi)
|
|
|
|
# 合并两个图片
|
|
@guan.statistics_decorator
|
|
def combine_two_images(image_path_array, figsize=(16,8), show=0, save=1, filename='a', file_format='.jpg', dpi=300):
|
|
import numpy as np
|
|
num = np.array(image_path_array).shape[0]
|
|
if num != 2:
|
|
print('Error: The number of images should be two!')
|
|
else:
|
|
import matplotlib.pyplot as plt
|
|
import matplotlib.image as mpimg
|
|
fig = plt.figure(figsize=figsize)
|
|
plt.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
|
|
ax1 = fig.add_subplot(121)
|
|
ax2 = fig.add_subplot(122)
|
|
image_1 = mpimg.imread(image_path_array[0])
|
|
image_2 = mpimg.imread(image_path_array[1])
|
|
ax1.imshow(image_1)
|
|
ax2.imshow(image_2)
|
|
ax1.axis('off')
|
|
ax2.axis('off')
|
|
if show == 1:
|
|
plt.show()
|
|
if save == 1:
|
|
plt.savefig(filename+file_format, dpi=dpi)
|
|
plt.close('all')
|
|
|
|
# 合并三个图片
|
|
@guan.statistics_decorator
|
|
def combine_three_images(image_path_array, figsize=(16,5), show=0, save=1, filename='a', file_format='.jpg', dpi=300):
|
|
import numpy as np
|
|
num = np.array(image_path_array).shape[0]
|
|
if num != 3:
|
|
print('Error: The number of images should be three!')
|
|
else:
|
|
import matplotlib.pyplot as plt
|
|
import matplotlib.image as mpimg
|
|
fig = plt.figure(figsize=figsize)
|
|
plt.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
|
|
ax1 = fig.add_subplot(131)
|
|
ax2 = fig.add_subplot(132)
|
|
ax3 = fig.add_subplot(133)
|
|
image_1 = mpimg.imread(image_path_array[0])
|
|
image_2 = mpimg.imread(image_path_array[1])
|
|
image_3 = mpimg.imread(image_path_array[2])
|
|
ax1.imshow(image_1)
|
|
ax2.imshow(image_2)
|
|
ax3.imshow(image_3)
|
|
ax1.axis('off')
|
|
ax2.axis('off')
|
|
ax3.axis('off')
|
|
if show == 1:
|
|
plt.show()
|
|
if save == 1:
|
|
plt.savefig(filename+file_format, dpi=dpi)
|
|
plt.close('all')
|
|
|
|
# 合并四个图片
|
|
@guan.statistics_decorator
|
|
def combine_four_images(image_path_array, figsize=(16,16), show=0, save=1, filename='a', file_format='.jpg', dpi=300):
|
|
import numpy as np
|
|
num = np.array(image_path_array).shape[0]
|
|
if num != 4:
|
|
print('Error: The number of images should be four!')
|
|
else:
|
|
import matplotlib.pyplot as plt
|
|
import matplotlib.image as mpimg
|
|
fig = plt.figure(figsize=figsize)
|
|
plt.subplots_adjust(left=0, right=1, bottom=0, top=1, wspace=0, hspace=0)
|
|
ax1 = fig.add_subplot(221)
|
|
ax2 = fig.add_subplot(222)
|
|
ax3 = fig.add_subplot(223)
|
|
ax4 = fig.add_subplot(224)
|
|
image_1 = mpimg.imread(image_path_array[0])
|
|
image_2 = mpimg.imread(image_path_array[1])
|
|
image_3 = mpimg.imread(image_path_array[2])
|
|
image_4 = mpimg.imread(image_path_array[3])
|
|
ax1.imshow(image_1)
|
|
ax2.imshow(image_2)
|
|
ax3.imshow(image_3)
|
|
ax4.imshow(image_4)
|
|
ax1.axis('off')
|
|
ax2.axis('off')
|
|
ax3.axis('off')
|
|
ax4.axis('off')
|
|
if show == 1:
|
|
plt.show()
|
|
if save == 1:
|
|
plt.savefig(filename+file_format, dpi=dpi)
|
|
plt.close('all')
|
|
|
|
# 对某个目录中的txt文件批量读取和画图
|
|
@guan.statistics_decorator
|
|
def batch_reading_and_plotting(directory, xlabel='x', ylabel='y'):
|
|
import re
|
|
import os
|
|
import guan
|
|
for root, dirs, files in os.walk(directory):
|
|
for file in files:
|
|
if re.search('^txt.', file[::-1]):
|
|
filename = file[:-4]
|
|
x_array, y_array = guan.read_one_dimensional_data(filename=filename)
|
|
guan.plot(x_array, y_array, xlabel=xlabel, ylabel=ylabel, title=filename, show=0, save=1, filename=filename)
|
|
|
|
# 将图片制作GIF动画
|
|
@guan.statistics_decorator
|
|
def make_gif(image_path_array, filename='a', duration=0.1):
|
|
import imageio
|
|
images = []
|
|
for image_path in image_path_array:
|
|
im = imageio.imread(image_path)
|
|
images.append(im)
|
|
imageio.mimsave(filename+'.gif', images, 'GIF', duration=duration)
|
|
|
|
# 选取Matplotlib颜色
|
|
@guan.statistics_decorator
|
|
def color_matplotlib():
|
|
color_array = ['tab:blue', 'tab:orange', 'tab:green', 'tab:red', 'tab:purple', 'tab:brown', 'tab:pink', 'tab:gray', 'tab:olive', 'tab:cyan']
|
|
return color_array |