[plotstyle] bendalab colors

plotstyle.py

@@ -11,6 +11,60 @@ figure_height = 6.0  # cm, for a 1 x 2 figure
 # points per inch:
 ppi = 72.0
 
+# colors:
+
+def lighter(color, lightness):
+    """ Make a color lighter.
+
+    Parameters
+    ----------
+    color: string
+        An RGB color as a hexadecimal string (e.g. '#rrggbb').
+    lightness: float
+        The smaller the lightness, the lighter the returned color.
+        A lightness of 1 leaves the color untouched.
+        A lightness of 0 returns white.
+
+    Returns
+    -------
+    color: string
+        The lighter color as a hexadecimal RGB string (e.g. '#rrggbb').
+    """
+    r = int(color[1:3], 16)
+    g = int(color[3:5], 16)
+    b = int(color[5:7], 16)
+    rl = r + (1.0-lightness)*(0xff - r)
+    gl = g + (1.0-lightness)*(0xff - g)
+    bl = b + (1.0-lightness)*(0xff - b)
+    return '#%02X%02X%02X' % (rl, gl, bl)
+
+
+def darker(color, saturation):
+    """ Make a color darker.
+
+    Parameters
+    ----------
+    color: string
+        An RGB color as a hexadecimal string (e.g. '#rrggbb').
+    saturation: float
+        The smaller the saturation, the darker the returned color.
+        A saturation of 1 leaves the color untouched.
+        A saturation of 0 returns black.
+
+    Returns
+    -------
+    color: string
+        The darker color as a hexadecimal RGB string (e.g. '#rrggbb').
+    """
+    r = int(color[1:3], 16)
+    g = int(color[3:5], 16)
+    b = int(color[5:7], 16)
+    rd = r * saturation
+    gd = g * saturation
+    bd = b * saturation
+    return '#%02X%02X%02X' % (rd, gd, bd)
+
+
 # colors:
 colors = {
     'red': '#CC0000',
@@ -19,7 +73,57 @@ colors = {
     'yellow': '#FFFF66',
     'green': '#99FF00',
     'blue': '#0000CC'
-}
+    }
+
+""" Muted colors used by the Benda-lab. """
+colors_bendalab = {}
+colors_bendalab['red'] = '#C02010'
+colors_bendalab['orange'] = '#F78010'
+colors_bendalab['yellow'] = '#F7E030'
+colors_bendalab['green'] = '#97C010'
+colors_bendalab['cyan'] = '#40A787'
+colors_bendalab['blue'] = '#2050A0'
+colors_bendalab['purple'] = '#7040A0'
+colors_bendalab['pink'] = '#D72060'
+
+""" Vivid colors used by the Benda-lab. """
+colors_bendalab_vivid = {}
+colors_bendalab_vivid['red'] = '#D01000'
+colors_bendalab_vivid['orange'] = '#FF9000'
+colors_bendalab_vivid['yellow'] = '#FFF700'
+colors_bendalab_vivid['green'] = '#30D700'
+colors_bendalab_vivid['cyan'] = '#00F0B0'
+colors_bendalab_vivid['blue'] = '#0020C0'
+colors_bendalab_vivid['purple'] = '#B000B0'
+colors_bendalab_vivid['pink'] = '#F00080'
+
+# colors for the plots of the script:
+colors = colors_bendalab_vivid
+colors['lightorange'] = colors['yellow']
+#colors['yellow'] = lighter(colors['yellow'], 0.65)
+colors['yellow'] = '#FFFF55'
+
+# line styles:
+# 'B1': prominent line with first color and style from color group 'B'
+# 'C2m': minor line with second color and style from color group 'C'
+ls = {
+    'A1': {'c': colors['red'], 'linestyle': '-', 'linewidth': 3},
+    'A2': {'c': colors['orange'], 'linestyle': '-', 'linewidth': 3},
+    'A3': {'c': colors['lightorange'], 'linestyle': '-', 'linewidth': 3},
+    'B1': {'c': colors['orange'], 'linestyle': '-', 'linewidth': 3},
+    'B2': {'c': colors['lightorange'], 'linestyle': '-', 'linewidth': 3},
+    'B3': {'c': colors['yellow'], 'linestyle': '-', 'linewidth': 3},
+    'C1': {'c': colors['green'], 'linestyle': '-', 'linewidth': 3},
+    'D1': {'c': colors['blue'], 'linestyle': '-', 'linewidth': 3},
+    'A1m': {'c': colors['red'], 'linestyle': '-', 'linewidth': 2},
+    'A2m': {'c': colors['orange'], 'linestyle': '-', 'linewidth': 2},
+    'A3m': {'c': colors['lightorange'], 'linestyle': '-', 'linewidth': 2},
+    'B1m': {'c': colors['orange'], 'linestyle': '-', 'linewidth': 2},
+    'B2m': {'c': colors['lightorange'], 'linestyle': '-', 'linewidth': 2},
+    'B3m': {'c': colors['yellow'], 'linestyle': '-', 'linewidth': 2},
+    'C1m': {'c': colors['green'], 'linestyle': '-', 'linewidth': 2},
+    'D1m': {'c': colors['blue'], 'linestyle': '-', 'linewidth': 2},
+    }
 
 # factor for scaling widths of bars in a bar plot:
 bar_fac = 1.0
@@ -43,11 +147,11 @@ def cm_size(*args):
     inches: float or list of floats
         Input arguments converted to inch.
     """
-    inch_per_cm = 2.54
+    cm_per_inch = 2.54
     if len(args) == 1:
-        return args[0]/inch_per_cm
+        return args[0]/cm_per_inch
     else:
-        return [v/inch_per_cm for v in args]
+        return [v/cm_per_inch for v in args]
 
 
 def adjust_fs(fig=None, left=5.5, right=0.5, bottom=2.8, top=0.5):

simulations/lecture/staticnonlinearity.py

@@ -23,7 +23,7 @@ if __name__ == "__main__":
     fig = plt.figure()
     spec = gridspec.GridSpec(nrows=1, ncols=2, **adjust_fs(fig, left=4.5))
     ax1 = fig.add_subplot(spec[0, 0])
-    ax1.plot(xx, yy, colors['red'], lw=2)
+    ax1.plot(xx, yy, **ls['A1'])
     ax1.scatter(x, y, c=colors['blue'], edgecolor='white', s=50)
     ax1.set_xlabel('Hair deflection', 'nm')
     ax1.set_ylabel('Conductance', 'nS')
@@ -35,7 +35,7 @@ if __name__ == "__main__":
     ax2 = fig.add_subplot(spec[0, 1])
     xg = np.linspace(-3.0, 3.01, 200)
     yg = st.norm.pdf(xg, 0.0, sigma)
-    ax2.plot(xg, yg, colors['red'], lw=2)
+    ax2.plot(xg, yg, **ls['A1'])
     bw = 0.25
     h, b = np.histogram(y-boltzmann(x, x0, k), np.arange(-3.0, 3.01, bw))
     ax2.bar(b[:-1], h/np.sum(h)/(b[1]-b[0]), fc=colors['yellow'], width=bar_fac*bw, align='edge')