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(bug) support graph in moran's viz #184

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(bug) support graph in moran's viz #184

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af53120
(bug) support graph in moran's viz
weikang9009 Aug 29, 2024
b2acf98
additional fixes for graph support in esda viz
weikang9009 Aug 29, 2024
b4fa87b
Revert "additional fixes for graph support in esda viz"
weikang9009 Aug 29, 2024
900723b
additional fixes for supporting graph in esda viz
weikang9009 Aug 29, 2024
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36 changes: 29 additions & 7 deletions splot/_viz_esda_mpl.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import seaborn as sbn
from esda.moran import Moran, Moran_BV, Moran_Local, Moran_Local_BV
from libpysal.weights.spatial_lag import lag_spatial
from libpysal.weights import W
from matplotlib import colors, patches
from spreg import OLS

Expand Down Expand Up @@ -275,7 +276,10 @@ def _moran_global_scatterplot(

# plot and set standards
if zstandard is True:
lag = lag_spatial(moran.w, moran.z)
if isinstance(moran.w, W):
lag = lag_spatial(moran.w, moran.z)
else:
lag = moran.w.lag(moran.z)
fit = OLS(moran.z[:, None], lag[:, None])
# plot
ax.scatter(moran.z, lag, **scatter_kwds)
Expand All @@ -284,7 +288,10 @@ def _moran_global_scatterplot(
ax.axvline(0, alpha=0.5, color="k", linestyle="--")
ax.axhline(0, alpha=0.5, color="k", linestyle="--")
else:
lag = lag_spatial(moran.w, moran.y)
if isinstance(moran.w, W):
lag = lag_spatial(moran.w, moran.y)
else:
lag = moran.w.lag(moran.y)
b, a = numpy.polyfit(moran.y, lag, 1)
# plot
ax.scatter(moran.y, lag, **scatter_kwds)
Expand Down Expand Up @@ -566,7 +573,10 @@ def _moran_bv_scatterplot(
ax.set_title("Bivariate Moran Scatterplot" + " (" + str(round(moran_bv.I, 2)) + ")")

# plot and set standards
lag = lag_spatial(moran_bv.w, moran_bv.zy)
if isinstance(moran_bv.w, W):
lag = lag_spatial(moran_bv.w, moran_bv.zy)
else:
lag = moran_bv.w.lag(moran_bv.zy)
fit = OLS(moran_bv.zy[:, None], lag[:, None])
# plot
ax.scatter(moran_bv.zx, lag, **scatter_kwds)
Expand Down Expand Up @@ -862,7 +872,10 @@ def _moran_loc_scatterplot(

# plot and set standards
if zstandard is True:
lag = lag_spatial(moran_loc.w, moran_loc.z)
if isinstance(moran_loc.w, W):
lag = lag_spatial(moran_loc.w, moran_loc.z)
else:
lag = moran_loc.w.lag(moran_loc.z)
fit = OLS(moran_loc.z[:, None], lag[:, None])
# v- and hlines
ax.axvline(0, alpha=0.5, color="k", linestyle="--")
Expand All @@ -879,7 +892,10 @@ def _moran_loc_scatterplot(
ax.plot(lag, fit.predy, **fitline_kwds)
ax.scatter(moran_loc.z, fit.predy, **scatter_kwds)
else:
lag = lag_spatial(moran_loc.w, moran_loc.y)
if isinstance(moran_loc.w, W):
lag = lag_spatial(moran_loc.w, moran_loc.y)
else:
lag = moran_loc.w.lag(moran_loc.y)
b, a = numpy.polyfit(moran_loc.y, lag, 1)
# dashed vert at mean of the attribute
ax.vlines(moran_loc.y.mean(), lag.min(), lag.max(), alpha=0.5, linestyle="--")
Expand Down Expand Up @@ -1217,7 +1233,10 @@ def plot_local_autocorrelation(

df_mask = gdf[ix]
x_mask = moran_loc.z[ix]
y_mask = lag_spatial(moran_loc.w, moran_loc.z)[ix]
if isinstance(moran_loc.w, W):
y_mask = lag_spatial(moran_loc.w, moran_loc.z)[ix]
else:
y_mask = moran_loc.w.lag(moran_loc.z)[ix]
axs[0].plot(
x_mask,
y_mask,
Expand Down Expand Up @@ -1348,7 +1367,10 @@ def _moran_loc_bv_scatterplot(
ax.set_title("Moran BV Local Scatterplot")

# plot and set standards
lag = lag_spatial(moran_loc_bv.w, moran_loc_bv.zy)
if isinstance(moran_loc_bv.w, W):
lag = lag_spatial(moran_loc_bv.w, moran_loc_bv.zy)
else:
lag = moran_loc_bv.w.lag(moran_loc_bv.zy)
fit = OLS(moran_loc_bv.zy[:, None], lag[:, None])
# v- and hlines
ax.axvline(0, alpha=0.5, color="k", linestyle="--")
Expand Down
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