我尝试使用matplotlib和seaborn来创建散点图。如果整个绘图只有一种颜色，如下图所示：sns.regplot(x = pair[0], y = pair[1], data = d, fit_reg = False, ax = ax, x_jitter = True, scatter_kws = {'linewidths':0, 's':2, 'color':'r'})
但是，如果我需要每个数据点的颜色取决于col中的值，如：
^{pr2}$
其中pandas_df是熊猫数据帧，因此col是一系列RGB点，如：[1,0,0]
[0,1,0]
[1,0,0]
[0,1,0]
:
:
然后我得到了错误：IndexErrorTraceback (most recent call last)
in ()
15 #print dtype(col)
16 d.plot.scatter(*pair, ax=ax, c=col, linewidths=0, s=2, alpha = 0.7)
---> 17 sns.regplot(x = pair[0], y = pair[1], data = d, fit_reg = False, ax = ax, x_jitter = True, scatter_kws = {'linewidths':0, 's':2, 'cmap':"RGB", 'color':col})
18
19 fig.tight_layout()
/usr/local/lib/python2.7/dist-packages/seaborn/linearmodels.pyc in regplot(x, y, data, x_estimator, x_bins, x_ci, scatter, fit_reg, ci, n_boot, units, order, logistic, lowess, robust, logx, x_partial, y_partial, truncate, dropna, x_jitter, y_jitter, label, color, marker, scatter_kws, line_kws, ax)
777 scatter_kws["marker"] = marker
778 line_kws = {} if line_kws is None else copy.copy(line_kws)
--> 779 plotter.plot(ax, scatter_kws, line_kws)
780 return ax
781
/usr/local/lib/python2.7/dist-packages/seaborn/linearmodels.pyc in plot(self, ax, scatter_kws, line_kws)
328 # Draw the constituent plots
329 if self.scatter:
--> 330 self.scatterplot(ax, scatter_kws)
331 if self.fit_reg:
332 self.lineplot(ax, line_kws)
/usr/local/lib/python2.7/dist-packages/seaborn/linearmodels.pyc in scatterplot(self, ax, kws)
353 kws.setdefault("linewidths", lw)
354
--> 355 if not hasattr(kws['color'], 'shape') or kws['color'].shape[1] < 4:
356 kws.setdefault("alpha", .8)
357
IndexError: tuple index out of range
在这种情况下，我在分配颜色和cmap时做错了什么？谢谢！在
