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Remove spacing='uniform' argument to contourf #257

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Merged
milenaveneziani merged 1 commit into from
Oct 8, 2017
Merged

Remove spacing='uniform' argument to contourf #257

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16 changes: 8 additions & 8 deletions mpas_analysis/shared/plot/plotting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -338,7 +338,7 @@ def do_subplot(ax, field, title, cmap, norm, levels):
m.drawmeridians(np.arange(-180., 181., 20.),
labels=[True, False, True, True])
cs = m.contourf(x, y, field, cmap=cmap, norm=norm,
spacing='uniform', levels=levels)
levels=levels)

cbar = m.colorbar(cs, location='right', pad="3%", spacing='uniform',
ticks=levels, boundaries=levels)
Expand Down Expand Up @@ -506,7 +506,7 @@ def plot_global_comparison(
m.drawmeridians(np.arange(-180., 180., 60.),
labels=[False, False, False, True])
cs = m.contourf(x, y, modelArray, cmap=cmapModelObs, norm=normModelObs,
spacing='uniform', levels=clevsModelObs, extend='both')
levels=clevsModelObs, extend='both')
cbar = m.colorbar(cs, location='right', pad="5%", spacing='uniform',
ticks=clevsModelObs, boundaries=clevsModelObs)
cbar.set_label(cbarlabel)
Expand All @@ -520,7 +520,7 @@ def plot_global_comparison(
m.drawmeridians(np.arange(-180., 180., 40.),
labels=[False, False, False, True])
cs = m.contourf(x, y, obsArray, cmap=cmapModelObs, norm=normModelObs,
spacing='uniform', levels=clevsModelObs, extend='both')
levels=clevsModelObs, extend='both')
cbar = m.colorbar(cs, location='right', pad="5%", spacing='uniform',
ticks=clevsModelObs, boundaries=clevsModelObs)
cbar.set_label(cbarlabel)
Expand All @@ -534,7 +534,7 @@ def plot_global_comparison(
m.drawmeridians(np.arange(-180., 180., 40.),
labels=[False, False, False, True])
cs = m.contourf(x, y, diffArray, cmap=cmapDiff, norm=normDiff,
spacing='uniform', levels=clevsDiff, extend='both')
levels=clevsDiff, extend='both')
cbar = m.colorbar(cs, location='right', pad="5%", spacing='uniform',
ticks=clevsDiff, boundaries=clevsModelObs)
cbar.set_label(cbarlabel)
Expand Down Expand Up @@ -788,7 +788,7 @@ def plot_vertical_section(
# verify that the dimensions of fieldArray are consistent with those of xArray and depthArray
if len(xArray) != fieldArray.shape[1]:
raise ValueError('size mismatch between xArray and fieldArray')
elif len(depthArray) != fieldArray.shape[0]:
elif len(depthArray) != fieldArray.shape[0]:
raise ValueError('size mismatch between depthArray and fieldArray')

# set up figure
Expand All @@ -803,10 +803,10 @@ def plot_vertical_section(
depthSlice = xr.DataArray(depthSlice) # in case it's not an xarray already
mean = pd.Series.rolling(depthSlice.to_series(), N, center=True).mean()
mean = xr.DataArray.from_series(mean)
mean = mean[int(N/2.0):-int(round(N/2.0)-1)]
mean = mean[int(N/2.0):-int(round(N/2.0)-1)]
movingAverageDepthSlices.append(mean)
xArray = xArray[int(N/2.0):-int(round(N/2.0)-1)]
fieldArray = xr.DataArray(movingAverageDepthSlices)
fieldArray = xr.DataArray(movingAverageDepthSlices)

x, y = np.meshgrid(xArray, depthArray) # change to zMid

Expand All @@ -816,7 +816,7 @@ def plot_vertical_section(
normModelObs = cols.BoundaryNorm(colorbarLevels, colormapName.N)

cs = plt.contourf(x, y, fieldArray, cmap=colormapName, norm=normModelObs,
spacing='uniform', levels=colorbarLevels, extend='both')
levels=colorbarLevels, extend='both')

if contourLevels is not None:
if len(contourLevels) == 0:
Expand Down