fix(matplotlib): Heatmap y-axis wrong ordering #6679
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Something still seems off when looking at Code
import holoviews as hv
import numpy as np
import pandas as pd
hv.extension("bokeh")
def hm(inverse=False):
data = pd.DataFrame(
{
"depth_class": [
"Shallow",
"Shallow",
"Shallow",
"Intermediate",
"Intermediate",
"Deep",
"Deep",
"Deep",
],
"mag_class": [
"Light",
"Moderate",
"Strong",
"Light",
"Moderate",
"Light",
"Moderate",
"Major",
],
"count": [301, 37, 2, 212, 8, 34, 1, 1],
}
)
if inverse:
data = data[::-1]
data["depth_class"] = pd.Categorical(
data["depth_class"], categories=["Shallow", "Intermediate", "Deep"], ordered=True
)
data["mag_class"] = pd.Categorical(
data["mag_class"], categories=["Light", "Moderate", "Strong", "Major"], ordered=True
)
heatmap = hv.HeatMap(data, ["mag_class", "depth_class"])
heatmap = heatmap.aggregate(function=np.mean)
return heatmap
(hm().opts(tools=["hover"]) + hm(True).opts(tools=["hover"])).opts(shared_axes=False)
hv.extension("matplotlib")
(hm() + hm(True)).opts(shared_axes=False)
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It appears when you invert the data, the y-axis labels are not inverted, and therefore becomes wrong again Will continue to investigate... |
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Still working on resolving for an inverted dataframe (plot B) but 
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fixes #6644
This PR:
origin='upper'policy used in other image-like plots in mpl, e.g, rasterholoviews/holoviews/plotting/mpl/raster.py
Line 119 in 9eb8203