There isn’t a clear and quick answer to this at the top of search engine results so I provide simple examples here: .1e = scientific notation with 1 decimal point (standard form) .2f = 2 decimal places .3g = 3 significant figures .4% = percentage with 4 decimal places A more detailed explanation on the … Read more
Heatmap analytics turns out to be WAY more complicated than just capturing the cursor coordinates. Some websites are right-aligned, some are left-aligned, some are 100%-width, some are fixed-width-“centered”… A page element can be positioned absolutely or relatively, floated etc. Oh, and there’s also different screen resolutions and even multi-monitor configurations. Here’s how it works in … Read more
Unfortunately matplotlib 3.1.1 broke seaborn heatmaps; and in general inverted axes with fixed ticks. This is fixed in the current development version; you may hence revert to matplotlib 3.1.0 use matplotlib 3.1.2 or higher set the heatmap limits manually (ax.set_ylim(bottom, top) # set the ylim to bottom, top)
The default cmap is sns.cm.rocket. To reverse it set cmap to sns.cm.rocket_r Using your code: cmap = sns.cm.rocket_r ax = sns.heatmap(cm_prob, annot=False, fmt=”.3f”, xticklabels=print_categories, yticklabels=print_categories, vmin=-0.05, cmap = cmap)
Here is a JavaScript code snippet to generate CSS hsl color code from [0, 1] value function heatMapColorforValue(value){ var h = (1.0 – value) * 240 return “hsl(” + h + “, 100%, 50%)”; } This algorithm is based on the 5 color heatmap, In this algorithm, the colors corresponding with values are 0 : … Read more
The cbar parameter controls whether a colorbar should be added, and the cbar_ax parameter can optionally specify the axes where the colorbar should go. So, you could do: import seaborn as sns import matplotlib.pyplot as plt import pandas as pd import numpy as np df = pd.DataFrame(np.random.random((10,10,))) fig, axn = plt.subplots(2, 2, sharex=True, sharey=True) cbar_ax … Read more
You want to use the vmin and vmax parameters for the heatmap, as described in the docs: vmin, vmax : floats, optional Values to anchor the colormap, otherwise they are inferred from the data and other keyword arguments. sns.heatmap(tiles, robust=True, fmt=”f”, cmap=’RdBu_r’, vmin=0, vmax=2)
If you have a current install of seaborn, norm=LogNorm() in the call to heatmap works now. (Pointed out in the comments — thank you.) Adding this to one of the seaborn examples: import numpy as np import seaborn as sns; sns.set_theme(style=”white”) import matplotlib.pyplot as plt from matplotlib.colors import LogNorm, Normalize from matplotlib.ticker import MaxNLocator flights … Read more
You could set it afterwards after collecting it from an ax, or simply pass a label in cbar_kws like so. import seaborn as sns import pandas as pd data = pd.DataFrame({‘x’:(1,2,3,4),’y’:(1,2,3,4),’z’:(14,15,23,2)}) sns.heatmap(data.pivot_table(index=’y’, columns=”x”, values=”z”), cbar_kws={‘label’: ‘colorbar title’}) It is worth noting that cbar_kws can be handy for setting other attributes on the colorbar such as … Read more
heatmap is an axes-level function, so you should be able to use just plt.title or ax.set_title: %matplotlib inline import numpy as np import os import seaborn as sns import matplotlib.pyplot as plt data = np.random.randn(10,12) ax = plt.axes() sns.heatmap(data, ax = ax) ax.set_title(‘lalala’) plt.show()