user90855's questions

我试图将颜色条上的刻度线与离散颜色对齐，但收效甚微。以下方法有效，但刻度线与颜色不对齐。

import matplotlib.pyplot as plt
import numpy as np

import matplotlib as mpl
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
import matplotlib.cm as cm

from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.colors as colors
from scipy import ndimage
from PIL import Image

plasma = mpl.colormaps['plasma'].resampled(8)
fig, ax = plt.subplots(figsize=(7, 5))

ax.axis("off")
img = plt.imread(image_file_name)
rotated_img = ndimage.rotate(img, -90)

im = ax.imshow(rotated_img, cmap=plasma)

divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="10%", pad=0.05)

cb = fig.colorbar(im, cax=cax, orientation="vertical")
print(cb.ax.get_yticks())
cb.set_ticks(cb.ax.get_yticks())
ticks = np.linspace(70,160,num=7)
#cb.set_ticks(ticks)
cb.set_ticklabels([f'{tick:.2f}' for tick in ticks])
print(cb.ax.get_yticks())

产量

然而

import matplotlib.pyplot as plt
import numpy as np

import matplotlib as mpl
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
import matplotlib.cm as cm

from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.colors as colors
from scipy import ndimage
from PIL import Image

plasma = mpl.colormaps['plasma'].resampled(8)    
fig, ax = plt.subplots(figsize=(7, 5))

ax.axis("off")
img = plt.imread(image_file_name)
rotated_img = ndimage.rotate(img, -90)

im = ax.imshow(rotated_img, cmap=plasma)

divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="10%", pad=0.05)

cb = fig.colorbar(im, cax=cax, orientation="vertical")
print(cb.ax.get_yticks())
#cb.set_ticks(cb.ax.get_yticks())
ticks = np.linspace(70,160,num=9)
cb.set_ticks(ticks)
cb.set_ticklabels([f'{tick:.2f}' for tick in ticks])
print(cb.ax.get_yticks())

产量

颜色图是从内置的“plasma”cmap 获得的 -

plasma = mpl.colormaps['plasma'].resampled(8)

图像数据只是 RGB 值 - 每个通道为 0 到 255。“最热”或最白的颜色对应于最高测量温度。