尝试显示 RGB 值列表
Trying to display list of RGB Values
我有一个列表barColors
,其中包含我要绘制的 RGB 值:
[(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968),
.
.
.
我想为列表 barColors
中的每种颜色(行)创建一个带有垂直切片的图像。
我试过:
title = "p"
#creating bar image
barImg = Image.new("RGB",(len(barColors), max([1,int(len(barColors)/2.5)])))
#adding bars to the image
barFullData = [x for x in barColors] * barImg.size[1]
barImg.putdata(barFullData)
#folder to store bar images
if not os.path.isdir("bars"):
os.mkdir("bars")
#saving image
barImg.save("bars/{}_{}.png".format(title,method))
barImg.show()
但出现错误:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-42-5a3d9f5e3a90> in <module>()
5 #adding bars to the image
6 barFullData = [x for x in barColors] * barImg.size[1]
----> 7 barImg.putdata(barFullData)
8
9 #folder to store bar images
C:\Users\meezy\Anaconda3\lib\site-packages\PIL\Image.py in putdata(self, data, scale, offset)
1456 self._copy()
1457
-> 1458 self.im.putdata(data, scale, offset)
1459
1460 def putpalette(self, data, rawmode="RGB"):
TypeError: integer argument expected, got float
您可以使用 axvspan
为每种颜色绘制一个条形图:
from matplotlib import pyplot as plt
scaled_colours = [[color / 255 for color in row] for row in colours]
fig, ax = plt.subplots(figsize=(6, 6))
ax.axis(xmin=0, xmax=len(scaled_colours))
ax.tick_params(left=False, labelleft=False, bottom=False, labelbottom=False)
for index, colour in enumerate(scaled_colours):
ax.axvspan(index, index + 1, color=colour)
请注意,如果您的原始颜色值为 floats
,则需要将它们缩小到范围 [0, 1]
。
输出:
然后您可以用 fig.savefig
保存结果。
Pil 图像应包含整数。我建议按如下方式使用 PIL 和 numpy:
import numpy as np
from PIL import Image
barColors = [(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968)]
barColors = (np.array(barColors)).astype(np.uint8)
title = "p"
#creating bar image
cols = len(barColors)
rows = max([1,int(cols/2.5)])
# Create color Array
barFullData = np.tile(barColors, (rows,1)).reshape(rows, cols, 3)
# Create Image from Array
barImg = Image.fromarray(barFullData, 'RGB')
#saving image
barImg.save("{}_{}.png".format(title,"method"))
barImg.show()
放大版:
除了给出的答案之外,另一种选择是使用 seaborn 的 palplot
。
import seaborn as sns
colors = np.array([
(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968)]) / 255.0
sns.palplot(colors)
vertical bars of colors
将图 window 拖动到适当的宽度和高度后,我得到了图像。 palplot
有一个控制高度的size
参数。救球
该图使用 fig = plt.gcf()
然后 fig.savefig
或直接
使用 plt.savefig()
希望对您有所帮助。
我有一个列表barColors
,其中包含我要绘制的 RGB 值:
[(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968),
.
.
.
我想为列表 barColors
中的每种颜色(行)创建一个带有垂直切片的图像。
我试过:
title = "p"
#creating bar image
barImg = Image.new("RGB",(len(barColors), max([1,int(len(barColors)/2.5)])))
#adding bars to the image
barFullData = [x for x in barColors] * barImg.size[1]
barImg.putdata(barFullData)
#folder to store bar images
if not os.path.isdir("bars"):
os.mkdir("bars")
#saving image
barImg.save("bars/{}_{}.png".format(title,method))
barImg.show()
但出现错误:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-42-5a3d9f5e3a90> in <module>()
5 #adding bars to the image
6 barFullData = [x for x in barColors] * barImg.size[1]
----> 7 barImg.putdata(barFullData)
8
9 #folder to store bar images
C:\Users\meezy\Anaconda3\lib\site-packages\PIL\Image.py in putdata(self, data, scale, offset)
1456 self._copy()
1457
-> 1458 self.im.putdata(data, scale, offset)
1459
1460 def putpalette(self, data, rawmode="RGB"):
TypeError: integer argument expected, got float
您可以使用 axvspan
为每种颜色绘制一个条形图:
from matplotlib import pyplot as plt
scaled_colours = [[color / 255 for color in row] for row in colours]
fig, ax = plt.subplots(figsize=(6, 6))
ax.axis(xmin=0, xmax=len(scaled_colours))
ax.tick_params(left=False, labelleft=False, bottom=False, labelbottom=False)
for index, colour in enumerate(scaled_colours):
ax.axvspan(index, index + 1, color=colour)
请注意,如果您的原始颜色值为 floats
,则需要将它们缩小到范围 [0, 1]
。
输出:
然后您可以用 fig.savefig
保存结果。
Pil 图像应包含整数。我建议按如下方式使用 PIL 和 numpy:
import numpy as np
from PIL import Image
barColors = [(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968)]
barColors = (np.array(barColors)).astype(np.uint8)
title = "p"
#creating bar image
cols = len(barColors)
rows = max([1,int(cols/2.5)])
# Create color Array
barFullData = np.tile(barColors, (rows,1)).reshape(rows, cols, 3)
# Create Image from Array
barImg = Image.fromarray(barFullData, 'RGB')
#saving image
barImg.save("{}_{}.png".format(title,"method"))
barImg.show()
放大版:
除了给出的答案之外,另一种选择是使用 seaborn 的 palplot
。
import seaborn as sns
colors = np.array([
(120.0304, 117.9008, 122.6944),
(66.3952, 65.0592, 69.088),
(22.2944, 24.3504, 26.5872),
(22.5744, 24.8352, 26.9152),
(0.0, 0.0, 0.0),
(94.864, 81.6416, 67.2272),
(92.5328, 79.6288, 66.2928),
(102.104, 86.7856, 71.3408),
(77.664, 65.0288, 52.712),
(78.2688, 69.3488, 60.1936),
(19.0432, 17.696, 17.7792),
(20.0432, 22.4064, 27.5456),
(30.7776, 32.4288, 36.5024),
(46.192, 49.8928, 54.7008),
(45.8016, 48.328, 55.1968)]) / 255.0
sns.palplot(colors)
vertical bars of colors
将图 window 拖动到适当的宽度和高度后,我得到了图像。 palplot
有一个控制高度的size
参数。救球
该图使用 fig = plt.gcf()
然后 fig.savefig
或直接
使用 plt.savefig()
希望对您有所帮助。