Open LiuCMU opened 2 years ago
I encountered the following error when parsing markersize:
markersize
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) <ipython-input-8-cfa7c3067ad6> in <module> 14 fig = plt.figure(figsize=(8, 6), dpi=100) 15 ax = fig.add_subplot(1, 1, 1, projection="scatter_density") ---> 16 density = ax.scatter_density(y_hat, y, cmap=white_viridis, markersize=10) 17 fig.colorbar(density, label='Number of points per pixel') 18 ax.grid() ~/miniconda3/envs/yields/lib/python3.6/site-packages/mpl_scatter_density/scatter_density_axes.py in scatter_density(self, x, y, dpi, downres_factor, color, cmap, alpha, norm, **kwargs) 51 scatter = ScatterDensityArtist(self, x, y, dpi=dpi, downres_factor=downres_factor, 52 color=color, cmap=cmap, ---> 53 alpha=alpha, norm=norm, **kwargs) 54 self.add_artist(scatter) 55 ~/miniconda3/envs/yields/lib/python3.6/site-packages/mpl_scatter_density/scatter_density_artist.py in __init__(self, ax, x, y, downres_factor, c, **kwargs) 57 super(ScatterDensityArtist, self).__init__(ax, 58 histogram2d_func=self.histogram2d_helper, ---> 59 **kwargs) 60 61 def set_xy(self, x, y): ~/miniconda3/envs/yields/lib/python3.6/site-packages/mpl_scatter_density/generic_density_artist.py in __init__(self, ax, dpi, color, vmin, vmax, norm, histogram2d_func, update_while_panning, **kwargs) 57 dpi=dpi, 58 update_while_panning=update_while_panning, ---> 59 **kwargs) 60 61 if color is not None: ~/miniconda3/envs/yields/lib/python3.6/site-packages/mpl_scatter_density/base_image_artist.py in __init__(self, ax, dpi, array_func, update_while_panning, **kwargs) 52 def __init__(self, ax, dpi=72, array_func=None, update_while_panning=True, **kwargs): 53 ---> 54 super(BaseImageArtist, self).__init__(ax, **kwargs) 55 56 self._array_func = array_func ~/miniconda3/envs/yields/lib/python3.6/site-packages/matplotlib/image.py in __init__(self, ax, cmap, norm, interpolation, origin, extent, filternorm, filterrad, resample, **kwargs) 897 filterrad=filterrad, 898 resample=resample, --> 899 **kwargs 900 ) 901 ~/miniconda3/envs/yields/lib/python3.6/site-packages/matplotlib/image.py in __init__(self, ax, cmap, norm, interpolation, origin, filternorm, filterrad, resample, **kwargs) 259 self._imcache = None 260 --> 261 self.update(kwargs) 262 263 def __getstate__(self): ~/miniconda3/envs/yields/lib/python3.6/site-packages/matplotlib/artist.py in update(self, props) 1004 1005 with cbook._setattr_cm(self, eventson=False): -> 1006 ret = [_update_property(self, k, v) for k, v in props.items()] 1007 1008 if len(ret): ~/miniconda3/envs/yields/lib/python3.6/site-packages/matplotlib/artist.py in <listcomp>(.0) 1004 1005 with cbook._setattr_cm(self, eventson=False): -> 1006 ret = [_update_property(self, k, v) for k, v in props.items()] 1007 1008 if len(ret): ~/miniconda3/envs/yields/lib/python3.6/site-packages/matplotlib/artist.py in _update_property(self, k, v) 1000 if not callable(func): 1001 raise AttributeError('{!r} object has no property {!r}' -> 1002 .format(type(self).__name__, k)) 1003 return func(v) 1004 AttributeError: 'ScatterDensityArtist' object has no property 'markersize'
The code is like this, where y and y_hat can be replaced by random lists for reproduction purpose:
y
y_hat
from matplotlib.colors import LinearSegmentedColormap # "Viridis-like" colormap with white background white_viridis = LinearSegmentedColormap.from_list('white_viridis', [ (0, '#ffffff'), (1e-20, '#440053'), (0.2, '#404388'), (0.4, '#2a788e'), (0.6, '#21a784'), (0.8, '#78d151'), (1, '#fde624'), ], N=256) fig = plt.figure(figsize=(8, 6), dpi=100) ax = fig.add_subplot(1, 1, 1, projection="scatter_density") density = ax.scatter_density(y_hat, y, cmap=white_viridis, markersize=10) fig.colorbar(density, label='Number of points per pixel') ax.grid() ax.set_xlim(0, 100) ax.set_ylim(0, 100) ax.set_xlabel("Predicted yields(Yield-BERT)") ax.set_ylabel("Observed yields")
Thanks!
I encountered the following error when parsing
markersize
:The code is like this, where
y
andy_hat
can be replaced by random lists for reproduction purpose:Thanks!