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How to use col_map method in yandex-tank
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xnor_truthtable.py
Source:xnor_truthtable.py 
1#!/usr/bin/env python2"""3 Annotation of standard bar chart with genetic constructs4"""5import dnaplotlib as dpl6from pylab import *7import matplotlib.pyplot as plt8__author__ = 'Bryan Der <bder@mit.edu>, Voigt Lab, MIT\n\9 Thomas Gorochowski <tom@chofski.co.uk>, Voigt Lab, MIT'10__license__ = 'MIT'11__version__ = '1.0'12# Function to generate a ligher colour13def lighten_color (col, fac):14 r = col[0] + (fac*(1.0-col[0]))15 g = col[1] + (fac*(1.0-col[1]))16 b = col[2] + (fac*(1.0-col[2]))17 return (r,g,b)18# Plot bar chart19fig = plt.figure(figsize=(3.7,2.32))20ax = plt.axes([0.08, 0.14, 0.21, 0.80])21ax.set_xscale('log')22ax.tick_params(axis='y', labelsize=8)23ax.tick_params(axis='x', labelsize=8)24ax.tick_params(axis='y', which='major', pad=3)25reu_to_rpu = 1.0/4.226val = [2.5, 0.008, 0.012, 2.5]27val = [x*reu_to_rpu for x in val]28pos = arange(4)+.529barlist=ax.barh(pos,val,0.3, align='center', log=True)30barlist[0].set_color('black')31barlist[0].set_facecolor('black')32barlist[1].set_color('black')33barlist[1].set_facecolor('white')34barlist[2].set_color('black')35barlist[2].set_facecolor('white')36barlist[3].set_color('black')37barlist[3].set_facecolor('black')38ax.spines['top'].set_visible(False)39ax.spines['right'].set_visible(False)40ax.yaxis.tick_left()41ax.xaxis.tick_bottom()42ax.set_xlim([0.005/4.2,10/4.2])43ax.set_ylim([-0.1,3.9])44plt.yticks(pos, ('+/+', '-/+', '+/-', '-/-'))45plt.xlabel('Output (RPU)', fontsize=8, labelpad=0)46plt.ylabel('Input', fontsize=8, labelpad=-1)47plt.grid(False)48# Colour map49col_map = {}50col_map['black'] = (0.00, 0.00, 0.00)51col_map['white'] = (1.00, 1.00, 1.00)52col_map['red'] = (0.95, 0.30, 0.25)53col_map['green'] = (0.38, 0.82, 0.32)54col_map['blue'] = (0.38, 0.65, 0.87)55col_map['orange'] = (1.00, 0.75, 0.17)56# Global line width57lw = 1.058# Define the parts59g0_OFF = {'type':'CDS', 'name':'g0_OFF', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['white'], 'edge_color':col_map['black'], 'x_extent':24}} #output60g0_ON = {'type':'CDS', 'name':'g0_ON', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'edge_color':col_map['black'], 'x_extent':24, 'label':'Out', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}61g1_OFF = {'type':'CDS', 'name':'g1_OFF', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['white'], 'edge_color':col_map['red'], 'x_extent':24}}62g1_ON = {'type':'CDS', 'name':'g1_ON', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['red'], 'edge_color':col_map['red'], 'x_extent':24, 'label':'D', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}63g2_OFF = {'type':'CDS', 'name':'g2_OFF', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['white'], 'edge_color':col_map['blue'], 'x_extent':24}}64g2_ON = {'type':'CDS', 'name':'g2_ON', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['blue'], 'edge_color':col_map['blue'], 'x_extent':24, 'label':'C', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}65g3_OFF = {'type':'CDS', 'name':'g3_OFF', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['white'], 'edge_color':col_map['green'], 'x_extent':24}}66g3_ON = {'type':'CDS', 'name':'g3_ON', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['green'], 'edge_color':col_map['green'], 'x_extent':24, 'label':'B', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}67g4_OFF = {'type':'CDS', 'name':'g4_OFF', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['white'], 'edge_color':col_map['orange'], 'x_extent':24}}68g4_ON = {'type':'CDS', 'name':'g4_ON', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['orange'], 'edge_color':col_map['orange'], 'x_extent':24, 'label':'A', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}69pA = {'type':'Promoter', 'name':'pA', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'label':'p1', 'label_y_offset':-8}}70pB = {'type':'Promoter', 'name':'pB', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'label':'p2', 'label_y_offset':-8}}71p1 = {'type':'Promoter', 'name':'p3', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['red']}}72p2 = {'type':'Promoter', 'name':'p4', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['blue']}}73p3 = {'type':'Promoter', 'name':'p5', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['green']}}74p4_1 = {'type':'Promoter', 'name':'p6', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['orange']}}75p4_2 = {'type':'Promoter', 'name':'p6', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['orange']}}76# How much to lighten OFF components77off_fac = 0.778print('black', lighten_color(col_map['black'],off_fac))79print('red', lighten_color(col_map['red'],off_fac))80print('green', lighten_color(col_map['green'],off_fac))81print('blue', lighten_color(col_map['blue'],off_fac))82print('orange', lighten_color(col_map['orange'],off_fac))83pA_OFF = {'type':'Promoter', 'name':'pA', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['black'],off_fac)}}84pB_OFF = {'type':'Promoter', 'name':'pB', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['black'],off_fac)}}85p1_OFF = {'type':'Promoter', 'name':'p3', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['red'],off_fac)}}86p2_OFF = {'type':'Promoter', 'name':'p4', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['blue'],off_fac)}}87p3_OFF = {'type':'Promoter', 'name':'p5', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['green'],off_fac)}}88p4_1_OFF = {'type':'Promoter', 'name':'p6', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['orange'],off_fac)}}89p4_2_OFF = {'type':'Promoter', 'name':'p6', 'fwd':True, 'opts':{'linewidth':lw, 'color':lighten_color(col_map['orange'],off_fac)}}90t0 = {'type':'Terminator', 'name':'t0', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}91t1 = {'type':'Terminator', 'name':'t1', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}92t2 = {'type':'Terminator', 'name':'t2', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}93t3 = {'type':'Terminator', 'name':'t3', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}94t4 = {'type':'Terminator', 'name':'t4', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}95u0 = {'type':'RBS', 'name':'u0', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}96u1 = {'type':'RBS', 'name':'u1', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}97u2 = {'type':'RBS', 'name':'u2', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}98u3 = {'type':'RBS', 'name':'u3', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}99u4 = {'type':'RBS', 'name':'u4', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}100# Define the regulation101arc1 = {'type':'Repression', 'from_part':g1_ON, 'to_part':p1_OFF, 'opts':{'color':col_map['red'], 'linewidth':lw}}102arc2 = {'type':'Repression', 'from_part':g2_ON, 'to_part':p2_OFF, 'opts':{'color':col_map['blue'], 'linewidth':lw}}103arc3 = {'type':'Repression', 'from_part':g3_ON, 'to_part':p3_OFF, 'opts':{'color':col_map['green'], 'linewidth':lw, 'arc_height':25}}104arc4 = {'type':'Repression', 'from_part':g4_ON, 'to_part':p4_1_OFF, 'opts':{'color':col_map['orange'], 'linewidth':lw, 'arc_height':20}}105arc5 = {'type':'Repression', 'from_part':g4_ON, 'to_part':p4_2_OFF, 'opts':{'color':col_map['orange'], 'linewidth':lw, 'arc_height':20}}106reg1 = [arc2, arc3]107reg2 = [arc1, arc2, arc4, arc5]108reg3 = [arc1, arc3, arc4, arc5]109reg4 = [arc2, arc3, arc4, arc5]110# A design is merely a list of parts and their properties111design1 = [pA_OFF, pB_OFF, u4, g4_OFF, t4, pB_OFF, p4_1, u3, g3_ON, t3, pA_OFF, p4_2, u2, g2_ON, t2, p3_OFF, p2_OFF, u1, g1_OFF, t1, p1, u0, g0_ON, t0]112design2 = [pA, pB_OFF, u4, g4_ON, t4, pB_OFF, p4_1_OFF, u3, g3_OFF, t3, pA, p4_2_OFF, u2, g2_ON, t2, p3, p2_OFF, u1, g1_ON, t1, p1_OFF, u0, g0_OFF, t0]113design3 = [pA_OFF, pB, u4, g4_ON, t4, pB, p4_1_OFF, u3, g3_ON, t3, pA_OFF, p4_2_OFF, u2, g2_OFF, t2, p3_OFF, p2, u1, g1_ON, t1, p1_OFF, u0, g0_OFF, t0]114design4 = [pA, pB, u4, g4_ON, t4, pB, p4_1_OFF, u3, g3_ON, t3, pA, p4_2_OFF, u2, g2_ON, t2, p3_OFF, p2_OFF, u1, g1_OFF, t1, p1, u0, g0_ON, t0]115# Set up the axes for the genetic constructs116ax_dna1 = plt.axes([0.135, 0.75, 1, 0.2])117ax_dna2 = plt.axes([0.135, 0.55, 1, 0.2])118ax_dna3 = plt.axes([0.135, 0.35, 1, 0.2])119ax_dna4 = plt.axes([0.135, 0.15, 1, 0.2])120# Create the DNAplotlib renderer121dr = dpl.DNARenderer()122# Redender the DNA to axis123start, end = dr.renderDNA(ax_dna1, design1, dr.SBOL_part_renderers(), 124 regs=reg1, reg_renderers=dr.std_reg_renderers())125ax_dna1.set_xlim([start, end])126ax_dna1.set_ylim([-27,27])127ax_dna1.set_aspect('equal')128ax_dna1.set_xticks([])129ax_dna1.set_yticks([])130ax_dna1.axis('off')131start, end = dr.renderDNA(ax_dna2, design2, dr.SBOL_part_renderers(),132 regs=reg2, reg_renderers=dr.std_reg_renderers())133ax_dna2.set_xlim([start, end])134ax_dna2.set_ylim([-27,27])135ax_dna2.set_aspect('equal')136ax_dna2.set_xticks([])137ax_dna2.set_yticks([])138ax_dna2.axis('off')139start, end = dr.renderDNA(ax_dna3, design3, dr.SBOL_part_renderers(), 140 regs=reg3, reg_renderers=dr.std_reg_renderers())141ax_dna3.set_xlim([start, end])142ax_dna3.set_ylim([-27,27])143ax_dna3.set_aspect('equal')144ax_dna3.set_xticks([])145ax_dna3.set_yticks([])146ax_dna3.axis('off')147start, end = dr.renderDNA(ax_dna4, design4, dr.SBOL_part_renderers(), 148 regs=reg4, reg_renderers=dr.std_reg_renderers())149ax_dna4.set_xlim([start, end])150ax_dna4.set_ylim([-27,27])151ax_dna4.set_aspect('equal')152ax_dna4.set_xticks([])153ax_dna4.set_yticks([])154ax_dna4.axis('off')155# Save the figure156fig.savefig('xnor_truthtable.pdf', transparent=True)157fig.savefig('xnor_truthtable.png', dpi=300)158# Clear the plotting cache...
scatter_annotate.py
Source:scatter_annotate.py
1#!/usr/bin/env python2"""3 Annotation of standard scatter plot with genetic constructs4"""5import numpy as np6import matplotlib.pyplot as plt7import dnaplotlib as dpl8import csv9__author__ = 'Thomas Gorochowski <tom@chofski.co.uk>, Voigt Lab, MIT'10__license__ = 'MIT'11__version__ = '1.0'12# Read some data points for the scatter plot13filename_in ='data_points.txt'14data_reader = csv.reader(open(filename_in, 'rU'), delimiter=' ')15x = []16y = []17for row in data_reader:18 y.append( float(row[1]) )19 x.append( float(row[2]) )20# Generate the scatter plot21fig = plt.figure(figsize=(2.8,2.32))22ax = plt.subplot(1, 1, 1)23ax.set_yscale('log')24ax.set_xlim([0.85,1.05])25ax.set_ylim([1,500])26ax.set_xticks([0.85, 0.9, 0.95, 1.0, 1.05])27ax.tick_params(axis='y', labelsize=8)28ax.tick_params(axis='x', labelsize=8)29ax.spines['right'].set_visible(False)30ax.spines['top'].set_visible(False)31ax.yaxis.set_ticks_position('left')32ax.xaxis.set_ticks_position('bottom')33plt.xlabel('Parameter 1', fontsize=8, labelpad=0)34plt.ylabel('Parameter 2', fontsize=8, labelpad=0)35ax.tick_params(axis='y', which='major', pad=1)36plt.scatter(x, y, c='none', s=6, edgecolor=(0.5,0.5,0.5), lw = 0.8) #(0.38, 0.65, 0.87)37# Add arrows to the constructs38plt.annotate(39 '', 40 xy = (0.8785, 323.5), xytext = (25, 5),41 textcoords = 'offset points', ha = 'right', va = 'bottom',42 bbox = dict(boxstyle = 'round,pad=0.5', fc = 'yellow', alpha = 0.5),43 arrowprops = dict(arrowstyle = '->', linewidth=1.0, connectionstyle = 'arc3,rad=0'))44plt.annotate(45 '', 46 xy = (0.977, 34), xytext = (20, 14),47 textcoords = 'offset points', ha = 'right', va = 'bottom',48 bbox = dict(boxstyle = 'round,pad=0.5', fc = 'yellow', alpha = 0.5),49 arrowprops = dict(arrowstyle = '->', linewidth=1.0, connectionstyle = 'arc3,rad=0'))50plt.annotate(51 '', 52 xy = (0.982, 3.3), xytext = (22, 10),53 textcoords = 'offset points', ha = 'right', va = 'bottom',54 bbox = dict(boxstyle = 'round,pad=0.5', fc = 'yellow', alpha = 0.5),55 arrowprops = dict(arrowstyle = '->', linewidth=1.0, connectionstyle = 'arc3,rad=0'))56# Color maps (let's make sure we use similar colors)57col_map = {}58col_map['black'] = (0.00, 0.00, 0.00)59col_map['white'] = (1.00, 1.00, 1.00)60col_map['red'] = (0.95, 0.30, 0.25)61col_map['green'] = (0.38, 0.82, 0.32)62col_map['blue'] = (0.38, 0.65, 0.87)63col_map['orange'] = (1.00, 0.75, 0.17)64col_map['purple'] = (0.55, 0.35, 0.64)65col_map['yellow'] = (0.98, 0.97, 0.35)66# Global line width67lw = 1.068# Define design 169p1_1 = {'type':'Promoter', 'name':'pA', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black']}}70rbs_1_1 = {'type':'RBS', 'name':'rbs_f', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}71gA_1 = {'type':'CDS', 'name':'gA', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['red'], 'edgecolor':col_map['red'], 'x_extent':24, 'label':'A', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}72rbs_1_2 = {'type':'RBS', 'name':'rbs_r', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':2, 'x_extent':6}}73gB_1 = {'type':'CDS', 'name':'gB', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['blue'], 'edgecolor':col_map['blue'], 'x_extent':24, 'label':'B', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}74t1_1 = {'type':'Terminator', 'name':'t0', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}75design1 = [p1_1, rbs_1_1, gA_1, rbs_1_2, gB_1, t1_1]76# Define design 277t1_2 = {'type':'Terminator', 'name':'t0', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}78gA_2 = {'type':'CDS', 'name':'gA', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['red'], 'edgecolor':col_map['red'], 'x_extent':24, 'label':'A', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':2, 'label_y_offset':-1}}79rbs_1_2 = {'type':'RBS', 'name':'rbs_f', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}80p1_2 = {'type':'Promoter', 'name':'pA', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black']}}81p2_2 = {'type':'Promoter', 'name':'pA', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black']}}82rbs_2_2 = {'type':'RBS', 'name':'rbs_r', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}83gB_2 = {'type':'CDS', 'name':'gB', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['blue'], 'edgecolor':col_map['blue'], 'x_extent':24, 'label':'B', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}84t2_2 = {'type':'Terminator', 'name':'t0', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}85design2 = [t1_2, gA_2, rbs_1_2, p1_2, p2_2, rbs_2_2, gB_2, t2_2]86# Define design 387p1_3 = {'type':'Promoter', 'name':'pA', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black']}}88rbs_1_3 = {'type':'RBS', 'name':'rbs_r', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}89gA_3 = {'type':'CDS', 'name':'gB', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['red'], 'edgecolor':col_map['red'], 'x_extent':24, 'label':'A', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':-3, 'label_y_offset':-1}}90t1_3 = {'type':'Terminator', 'name':'t0', 'fwd':True, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}91t2_3 = {'type':'Terminator', 'name':'t0', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-1}}92gB_3 = {'type':'CDS', 'name':'gA', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['blue'], 'edgecolor':col_map['blue'], 'x_extent':24, 'label':'B', 'label_style':'italic', 'label_color':(1,1,1), 'label_x_offset':0, 'label_y_offset':-1}}93rbs_2_3 = {'type':'RBS', 'name':'rbs_f', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black'], 'start_pad':-6, 'x_extent':6}}94p2_3 = {'type':'Promoter', 'name':'pA', 'fwd':False, 'opts':{'linewidth':lw, 'color':col_map['black']}}95design3 = [p1_3, rbs_1_3, gA_3, t1_3, t2_3, gB_3, rbs_2_3, p2_3]96# Set up the axes for the genetic constructs97ax_dna1 = plt.axes([0.35, 0.83, 0.35, 0.12])98ax_dna2 = plt.axes([0.61, 0.65, 0.4, 0.12])99ax_dna3 = plt.axes([0.58, 0.32, 0.4, 0.12])100# Create the DNAplotlib renderer101dr = dpl.DNARenderer()102# Redender the DNA to axis103start, end = dr.renderDNA(ax_dna1, design1, dr.SBOL_part_renderers())104ax_dna1.set_xlim([start, end])105ax_dna1.set_ylim([-15,15])106ax_dna1.set_aspect('equal')107ax_dna1.set_xticks([])108ax_dna1.set_yticks([])109ax_dna1.axis('off')110start, end = dr.renderDNA(ax_dna2, design2, dr.SBOL_part_renderers())111ax_dna2.set_xlim([start, end])112ax_dna2.set_ylim([-15,15])113ax_dna2.set_aspect('equal')114ax_dna2.set_xticks([])115ax_dna2.set_yticks([])116ax_dna2.axis('off')117start, end = dr.renderDNA(ax_dna3, design3, dr.SBOL_part_renderers())118ax_dna3.set_xlim([start, end])119ax_dna3.set_ylim([-15,15])120ax_dna3.set_aspect('equal')121ax_dna3.set_xticks([])122ax_dna3.set_yticks([])123ax_dna3.axis('off')124# Sort out subplot spacing125plt.subplots_adjust(hspace=0.01, left=0.13, right=0.95, top=0.93, bottom=0.13)126# Save the figure127fig.savefig('scatter_annotate.pdf', transparent=True)128fig.savefig('scatter_annotate.png', dpi=300)129# Clear the plotting cache...
ColTab.py
Source:ColTab.py
1import numpy as np2import matplotlib as mpl3def ColTabbw():4 5 cdict = {'red': ((0.0, 0.0, 0.0), 6 (1.0, 1.0, 1.0)),7 'green': ((0.0, 0.0, 0.0),8 (1.0, 1.0, 1.0)),9 'blue': ((0.0, 0.0, 0.0),10 (1.0, 1.0, 1.0)) 11 } 12 13 col_map=mpl.colors.LinearSegmentedColormap('bw',cdict)14 15 return col_map16def ColTabBinary(col0,col1):17 18 cdict = {'red': ((0.0, col0[0], col0[0]), 19 (0.5, col0[0], col1[0]),20 (1.0, col1[0], col1[0])),21 'green': ((0.0, col0[1], col0[1]), 22 (0.5, col0[1], col1[1]),23 (1.0, col1[1], col1[1])),24 'blue': ((0.0, col0[2], col0[2]), 25 (0.5, col0[2], col1[2]),26 (1.0, col1[2], col1[2])), 27 28 'alpha': ((0.0, col0[3], col0[3]), 29 (0.5, col0[3], col1[3]),30 (1.0, col1[3], col1[3]))31 } 32 33 col_map=mpl.colors.LinearSegmentedColormap('binary',cdict)34 35 return col_map36def ColTabwb():37 38 cdict = {'red': ((0.0, 1.0, 1.0), 39 (1.0, 0.0, 0.0)),40 'green': ((0.0, 1.0, 1.0),41 (1.0, 0.0, 0.0)),42 'blue': ((0.0, 1.0, 1.0),43 (1.0, 0.0, 0.0)) 44 } 45 46 col_map=mpl.colors.LinearSegmentedColormap('wb',cdict)47 48 return col_map49def ColTabbcyr():50 51 cdict = {'red': ((0.0, 0.0, 0.0), 52 (0.5, 0.0, 1.0), 53 (1.0, 1.0, 1.0)),54 'green': ((0.0, 0.0, 0.0),55 (0.5, 1.0, 1.0),56 (1.0, 0.0, 0.0)),57 'blue': ((0.0, 0.0, 1.0),58 (0.5, 1.0, 0.0), 59 (1.0, 0.0, 0.0)) 60 } 61 62 col_map=mpl.colors.LinearSegmentedColormap('bcyr',cdict)63 64 return col_map65def ColTabbr():66 67 cdict = {'red': ((0.0, 0.0, 0.0), 68 (1.0, 1.0, 1.0)),69 'green': ((0.0, 0.0, 0.0),70 (1.0, 0.0, 0.0)),71 'blue': ((0.0, 1.0, 1.0),72 (1.0, 0.0, 0.0)) 73 } 74 75 col_map=mpl.colors.LinearSegmentedColormap('br',cdict)76 77 return col_map78def ColTabyr():79 80 cdict = {'red': ((0.0, 1.0, 1.0), 81 (1.0, 1.0, 1.0)),82 'green': ((0.0, 1.0, 1.0),83 (1.0, 0.0, 0.0)),84 'blue': ((0.0, 0.0, 0.0),85 (1.0, 0.0, 0.0)) 86 } 87 88 col_map=mpl.colors.LinearSegmentedColormap('yr',cdict)89 90 return col_map91def ColTabor():92 93 cdict = {'red': ((0.0, 1.0, 1.0), 94 (1.0, 1.0, 1.0)),95 'green': ((0.0, 0.5, 0.5),96 (1.0, 0.0, 0.0)),97 'blue': ((0.0, 0.0, 0.0),98 (1.0, 0.0, 0.0)) 99 } 100 101 col_map=mpl.colors.LinearSegmentedColormap('or',cdict)102 103 return col_map104def ColTabwyr():105 106 cdict = {'red': ((0.0, 1.0, 1.0), 107 (0.5, 1.0, 1.0), 108 (1.0, 1.0, 1.0)),109 'green': ((0.0, 1.0, 1.0),110 (0.5, 1.0, 1.0),111 (1.0, 0.0, 0.0)),112 'blue': ((0.0, 1.0, 1.0),113 (0.5, 0.0, 0.0), 114 (1.0, 0.0, 0.0)) 115 } 116 117 col_map=mpl.colors.LinearSegmentedColormap('wyr',cdict)118 119 return col_map120def ColTab6Step():121 122 cdict = {'red': ((0.0, 0.5, 0.5), 123 (0.167, 0.5, 0.0), 124 (0.333, 0.0, 0.0), 125 (0.5, 0.0, 0.0), 126 (0.667, 0.0, 1.0),127 (0.833, 1.0, 1.0), 128 (1.0, 1.0, 1.0)),129 'green': ((0.0, 0.0, 0.0),130 (0.167, 0.0, 0.0), 131 (0.333, 0.0, 0.5), 132 (0.5, 0.5, 1.0), 133 (0.667, 1.0, 1.0),134 (0.833, 1.0, 0.0), 135 (1.0, 0.0, 0.0)),136 'blue': ((0.0, 1.0, 1.0),137 (0.167, 1.0, 1.0), 138 (0.333, 1.0, 1.0), 139 (0.5, 1.0, 0.0), 140 (0.667, 0.0, 0.0),141 (0.833, 0.0, 0.0), 142 (1.0, 0.0, 0.0)) 143 } 144 145 col_map=mpl.colors.LinearSegmentedColormap('6step',cdict)146 147 return col_map148 149def ColTabCircular():150 cdict = {'red': ((0.0, 1.0, 1.0), 151 (0.25,1.0, 1.0),152 (0.5, 1.0, 1.0),153 (0.75,1.0, 1.0), 154 (1.0, 1.0, 1.0)),155 'green': ((0.0, 0.0, 0.0),156 (0.25,0.0, 0.0),157 (0.5, 1.0, 1.0),158 (0.75,1.0, 1.0), 159 (1.0, 0.0, 0.0)),160 'blue': ((0.0, 0.0, 0.0),161 (0.25,1.0, 1.0),162 (0.5, 1.0, 1.0),163 (0.75,0.0, 0.0), 164 (1.0, 0.0, 0.0)),165 } 166 167 col_map=mpl.colors.LinearSegmentedColormap('Circular',cdict)168 169 return col_map170def ColTabNonLin():171 cdict = {'red': (( 0.0, 1.0, 1.0), #white 1.0 1.0 1.0172 ( 0.01, 0.0, 0.0), #blue 0.0 0.0 1.0173 (0.025, 0.7, 0.7), #purple 0.7 0.0 0.7174 (0.063, 0.0, 0.0), #green 0.0 1.0 0.0175 (0.158, 1.0, 1.0), #yellow 1.0 1.0 0.0176 (0.398, 1.0, 1.0), #red 1.0 0.0 0.0177 ( 1.0, 0.0, 0.0)), #black 0.0 0.0 0.0178 'green': (( 0.0, 1.0, 1.0),179 ( 0.01, 0.0, 0.0),180 (0.025, 0.0, 0.0),181 (0.063, 1.0, 1.0), 182 (0.158, 1.0, 1.0),183 (0.398, 0.0, 0.0),184 ( 1.0, 0.0, 0.0)),185 'blue': (( 0.0, 1.0, 1.0),186 ( 0.01, 1.0, 1.0),187 (0.025, 0.7, 0.7),188 (0.063, 0.0, 0.0), 189 (0.158, 0.0, 0.0),190 (0.398, 0.0, 0.0),191 ( 1.0, 0.0, 0.0)),192 } 193 194 col_map=mpl.colors.LinearSegmentedColormap('NonLin',cdict)195 196 return col_map197def ColTabNonLin2():198 cdict = {'red': (( 0.0, 1.0, 1.0), #white 1.0 1.0 1.0199 (0.025, 0.5, 0.5), #purple 0.7 0.0 0.7200 (0.063, 1.0, 1.0), #pink 1.0 0.5 0.5201 (0.158, 1.0, 1.0), #yellow 1.0 1.0 0.0202 (0.398, 1.0, 1.0), #red 1.0 0.0 0.0203 ( 1.0, 0.0, 0.0)),#black 0.0 0.0 0.0204 'green': (( 0.0, 1.0, 1.0),205 (0.025, 0.0, 0.0),206 (0.063, 0.5, 0.5), 207 (0.158, 1.0, 1.0),208 (0.398, 0.0, 0.0),209 ( 1.0, 0.0, 0.0)),210 'blue': (( 0.0, 1.0, 1.0),211 (0.025, 0.5, 0.5),212 (0.063, 0.5, 0.5), 213 (0.158, 0.0, 0.0),214 (0.398, 0.0, 0.0),215 ( 1.0, 0.0, 0.0)),216 } 217 218 col_map=mpl.colors.LinearSegmentedColormap('NonLin2',cdict)219 ...
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