WitrynaIt is often desirable to show data which depends on two independent variables as a color coded image plot. This is often referred to as a heatmap. If the data is categorical, this … Witryna13 mar 2024 · 输出为-nan (ind)通常是由于计算过程中出现了无穷大或未定义的数值,例如除以0或对负数进行了平方根运算等。. 这种情况下,程序无法正确计算结果,因此输出为-nan (ind)。. 要解决这个问题,需要检查计算过程中是否存在异常情况,并进行相应的处理。. 相关问题.
masked arrays must be 1-d - CSDN文库
WitrynaIf minmax, the min and max values of the image are used. If infer, a heuristic based on the image data type is used. binary_string ( bool, default None) – if True, the image data are first rescaled and encoded as uint8 and then passed to plotly.js as a b64 PNG string. If False, data are passed unchanged as a numerical array. WitrynaOne of the solution is to plot masked array, like here: import matplotlib.pylab as plt import numpy as np #conditional value converted to nan array = np.random.rand (4,10) array [array<0.5]=np.nan m = … improving my golf game
imagesc: how to set NaN as white color - MATLAB Answers
Witryna12 lip 2013 · If you want to use imagesc rather than pcolor, you can set the AlphaData property to zero everywhere you have a NaN. This will show the background wherever there is no data; you can then additionally set the background colour, if you so choose. In this example I'm setting it to black: Theme Copy imAlpha=ones (size (Data_Array)); Witryna15 maj 2024 · Gaussian filtering an image with NaN values makes all the values of a matrix NaN, which produces an NaN valued matrix. Steps Create a figure and a set of subplots. Create a matrix with NaN value in that matrix. Display the data as an image, i.e., on a 2D regular raster, data. Apply Gaussian filter on the data. WitrynaA common use for matplotlib.pyplot.imshow is to plot a 2D statistical map. The function makes it easy to visualize a 2D matrix as an image and add transparency to the output. For example, one can plot a statistic (such as a t-statistic) and color the transparency of each pixel according to its p-value. lithium battery for outboard motors