norm : matplotlib.colors.Normalize instance The normalizing object which scales data, typically into the interval [0, 1]. If None, norm defaults to a colors.Normalize object which initializes its scaling based on the first data processed. cmap : str or Colormap instance The colormap used to...
plt.plot(x, np.sin(x -0), color='blue')# 通过颜色名称指定 plt.plot(x, np.sin(x -1), color='g')# 通过颜色简写名称指定(rgbcmyk) plt.plot(x, np.sin(x -2), color='0.75')# 介于0-1之间的灰阶值 plt.plot(x, np.sin(x -...
You can reverse any colormap in Matplotlib by appending the suffix _r in its name. # Set up the plot for the heatmap plt.figure(figsize=(12, 8)) # Create a custom normalization for the color range norm = mcolors.Normalize(vmin=16, vmax=40) # Plot the heatmap using imshow with th...
import numpy as np import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap def plot_examples(colormaps): """ 辅助函数,可以用关联的色图绘制数据 """ np.random.seed(19680801) data = np.random.randn(30, 30) n = len(colormaps) fig, axs = plt.subplots(1, n, figsize=...
ListedColormap Colormap object generated from a list of colors. 代码语言:txt AI代码解释 matplotlib.colors.ListedColormap(colors, name='from_list', N=None) """ colors : list, array List of Matplotlib color specifications, or an equivalent Nx3 or Nx4 floating point array (*N* rgb or rgba...
https://matplotlib.org/stable/users/explain/colors/colormapnorms.html 例子: importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlibimportcm, colors ax = plt.gca() cmap = plt.get_cmap('coolwarm')# need to normalize because color maps are defined in [0, 1]norm = colors.TwoSlopeNorm(1, vmi...
If None, norm defaults to a colors.Normalize object which initializes its scaling based on the first data processed. cmap : str or Colormap instance The colormap used to map normalized data values to RGBA colors. add_checker(self, checker) [source] Add an entry to a dictionary of boolean...
https://matplotlib.org/stable/gallery/color/colormap_reference.html#sphx-glr-gallery-color-colormap-reference-py import numpy as np import matplotlib.pyplot as plt cmaps = [('Perceptually Uniform Sequential', [ 'viridis','plasma','inferno','magma','cividis']), ...
plt.plot(x, np.sin(x - 5), color='chartreuse'); # 能支持所有HTML颜色名称值 如果没有指定颜色,Matplotlib 会在一组默认颜色值中循环使用来绘制每一条线条。 类似的,通过linestyle关键字参数可以指定线条的风格: plt.plot(x, x + 0, linestyle='solid') ...
colormaps) # 遍历并展示每个colormap for cmap_name in cmaps: view_colormap(cmap_name) 范围较大的处理 在值的范围很大时,显示效果会很差,所以需要进行处理。 Matplotlib 允许对颜色条进行大量自定义。 颜色条本身只是 plt.Axes 的一个实例,因此我们目前看到的所有坐标轴和刻度线格式化技巧都适用。 颜色条...