私はseaborn
がRGBA
カラーフォーマットを望んでいると考えていますので、タプルのリストをmatplotlib
のように指定しましたが、それは好きではありませんでした。私はg = sns.jointplot(plotdataandstuff)
のようなものをやってみましたが、私は<seaborn.axisgrid.JointGrid at 0x135943d30>
オブジェクトにSeaborn Jointplotで個々のマーカーに色を付けるにはどうすればいいですか?
u = np.array([ 3.41959, 1.79315, 1.17229, 1.59909, 1.27337, 1.21917, 2.60591, 2.0571 , 1.83865, 1.94869])
v = np.array([238614, 166714, 152668, 131310, 131249, 130562, 118618, 117329, 101841, 87626])
c = np.array([(0.38998137426811552, 0.61096214975059782, 0.40096663322878834, 1.0),
(0.91819597903385741, 0.79247826098536023, 0.76754610185633376, 1.0),
(0.80693280982205806, 0.72756928157840872, 0.59917426429032361, 1.0),
(0.67210067882600855, 0.69086449405289441, 0.48640673089730696, 1.0),
(0.57590730770024134, 0.66895624366124595, 0.43845220910273563, 1.0),
(0.63252315055536124, 0.68193477278802606, 0.4639878928469835, 1.0), (
0.72522872317321141, 0.70350066480196072, 0.52329091024506846, 1.0),
(0.67210067882600855, 0.69086449405289441, 0.48640673089730696, 1.0),
(0.93684201381384091, 0.81480601869516889, 0.81083911715694279, 1.0),
(0.83654311363401856, 0.73919037695009648, 0.63434086709274395, 1.0)], dtype=object)
sns.jointplot(x=u, y=v, color=c)
をナビゲートする方法を見つけ出すことができませんでしたここでエラー
TypeError Traceback (most recent call last)
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in to_rgba(c, alpha)
140 try:
--> 141 rgba = _colors_full_map.cache[c, alpha]
142 except (KeyError, TypeError): # Not in cache, or unhashable.
TypeError: unhashable type: 'numpy.ndarray'
During handling of the above exception, another exception occurred:
TypeError Traceback (most recent call last)
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
191 try:
--> 192 c = tuple(map(float, c))
193 except TypeError:
TypeError: only length-1 arrays can be converted to Python scalars
During handling of the above exception, another exception occurred:
ValueError Traceback (most recent call last)
<ipython-input-69-48b550e1edb6> in <module>()
13 (0.93684201381384091, 0.81480601869516889, 0.81083911715694279, 1.0),
14 (0.83654311363401856, 0.73919037695009648, 0.63434086709274395, 1.0)], dtype=object)
---> 15 sns.jointplot(x=u, y=v, color=c)
/Users/jespinoz/anaconda/lib/python3.5/site-packages/seaborn/distributions.py in jointplot(x, y, data, kind, stat_func, color, size, ratio, space, dropna, xlim, ylim, joint_kws, marginal_kws, annot_kws, **kwargs)
789 if color is None:
790 color = color_palette()[0]
--> 791 color_rgb = mpl.colors.colorConverter.to_rgb(color)
792 colors = [set_hls_values(color_rgb, l=l) for l in np.linspace(1, 0, 12)]
793 cmap = blend_palette(colors, as_cmap=True)
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in to_rgb(arg)
307 if *arg* is *RGBA*, the *A* will simply be discarded.
308 """
--> 309 return to_rgb(arg)
310
311 @staticmethod
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in to_rgb(c)
242 """Convert `c` to an RGB color, silently dropping the alpha channel.
243 """
--> 244 return to_rgba(c)[:3]
245
246
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in to_rgba(c, alpha)
141 rgba = _colors_full_map.cache[c, alpha]
142 except (KeyError, TypeError): # Not in cache, or unhashable.
--> 143 rgba = _to_rgba_no_colorcycle(c, alpha)
144 try:
145 _colors_full_map.cache[c, alpha] = rgba
/Users/jespinoz/anaconda/lib/python3.5/site-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
192 c = tuple(map(float, c))
193 except TypeError:
--> 194 raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
195 if len(c) not in [3, 4]:
196 raise ValueError("RGBA sequence should have length 3 or 4")
ValueError: Invalid RGBA argument: array([[0.3899813742681155, 0.6109621497505978, 0.40096663322878834, 1.0],
[0.9181959790338574, 0.7924782609853602, 0.7675461018563338, 1.0],
[0.8069328098220581, 0.7275692815784087, 0.5991742642903236, 1.0],
[0.6721006788260085, 0.6908644940528944, 0.48640673089730696, 1.0],
[0.5759073077002413, 0.668956243661246, 0.43845220910273563, 1.0],
[0.6325231505553612, 0.6819347727880261, 0.4639878928469835, 1.0],
[0.7252287231732114, 0.7035006648019607, 0.5232909102450685, 1.0],
[0.6721006788260085, 0.6908644940528944, 0.48640673089730696, 1.0],
[0.9368420138138409, 0.8148060186951689, 0.8108391171569428, 1.0],
[0.8365431136340186, 0.7391903769500965, 0.634340867092744, 1.0]], dtype=object)