colormap

How to color objects in an image with different color each

不羁的心 提交于 2021-01-27 19:45:13
问题 I'm having following problem: I have black/white images, which I have to colorize: Every white "blob" in the image represents an instance of an object and I want to color every object with a new color, but for every image i want to use the same color scheme: For example: 1st image: 3 Objects -> used colors: red, green, yellow 2nd image: 2 Objects -> used colors: red, green 3rd image: 5 objects -> used colors: red, green, yellow, pink, orange I've colored a couple of images by hand to show

Holoviews change datashader colormap

ぃ、小莉子 提交于 2021-01-27 07:26:32
问题 I'm trying to change the colormap used by datashader. I tried this: datashade(scatter, cmap='Reds') Where scatter is an hv.Scatter element. This doesn't work because datashader expects an iterable or a function that returns colors. As such, this works: datashade(scatter, cmap=['blue']) So how can I take the 'Reds' colormap and convert it into something datashader can use? Thank you. 回答1: Right; you can't pass the string name of a colormap to Datashader's cmap argument, because Datashader

Using Colormap feature with Pandas.DataFrame.Plot

寵の児 提交于 2021-01-05 08:58:15
问题 from matplotlib import cm a = pd.DataFrame(zip(ranFor.feature_importances_, trainSet.columns)) a = a.sort_values(by = [0], ascending= False) tinydata = a.iloc[:25] tinydata = tinydata[::-1] tinydata.set_index([1], inplace=True) cmap = cm.get_cmap('jet') colors = cm.jet(np.linspace(0,1,len(tinydata))) tinydata.plot(kind = 'barh', figsize = (15,10), title = 'Most Important 20 Features of the Initial Model', grid = True, legend = False, color = colors) plt.xlabel('Feature Importance') plt.show()