---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-19-1021d129ca0b> in <module>()
----> 1 sns.lmplot(x="Location", y="value", hue="variable", data=df_molten, size=15)
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in lmplot(x, y, data, hue, col, row, palette, col_wrap, size, aspect, markers, sharex, sharey, hue_order, col_order, row_order, legend, legend_out, x_estimator, x_bins, x_ci, scatter, fit_reg, ci, n_boot, units, order, logistic, lowess, robust, logx, x_partial, y_partial, truncate, x_jitter, y_jitter, scatter_kws, line_kws)
588 scatter_kws=scatter_kws, line_kws=line_kws,
589 )
--> 590 facets.map_dataframe(regplot, x, y, **regplot_kws)
591
592 # Add a legend
~/anaconda3/lib/python3.6/site-packages/seaborn/axisgrid.py in map_dataframe(self, func, *args, **kwargs)
807
808 # Draw the plot
--> 809 self._facet_plot(func, ax, args, kwargs)
810
811 # Finalize the annotations and layout
~/anaconda3/lib/python3.6/site-packages/seaborn/axisgrid.py in _facet_plot(self, func, ax, plot_args, plot_kwargs)
825
826 # Draw the plot
--> 827 func(*plot_args, **plot_kwargs)
828
829 # Sort out the supporting information
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py 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)
788 scatter_kws["marker"] = marker
789 line_kws = {} if line_kws is None else copy.copy(line_kws)
--> 790 plotter.plot(ax, scatter_kws, line_kws)
791 return ax
792
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in plot(self, ax, scatter_kws, line_kws)
340 self.scatterplot(ax, scatter_kws)
341 if self.fit_reg:
--> 342 self.lineplot(ax, line_kws)
343
344 # Label the axes
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in lineplot(self, ax, kws)
385
386 # Fit the regression model
--> 387 grid, yhat, err_bands = self.fit_regression(ax)
388
389 # Get set default aesthetics
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in fit_regression(self, ax, x_range, grid)
208 yhat, yhat_boots = self.fit_logx(grid)
209 else:
--> 210 yhat, yhat_boots = self.fit_fast(grid)
211
212 # Compute the confidence interval at each grid point
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in fit_fast(self, grid)
223 grid = np.c_[np.ones(len(grid)), grid]
224 reg_func = lambda _x, _y: np.linalg.pinv(_x).dot(_y)
--> 225 yhat = grid.dot(reg_func(X, y))
226 if self.ci is None:
227 return yhat, None
~/anaconda3/lib/python3.6/site-packages/seaborn/regression.py in <lambda>(_x, _y)
222 X, y = np.c_[np.ones(len(self.x)), self.x], self.y
223 grid = np.c_[np.ones(len(grid)), grid]
--> 224 reg_func = lambda _x, _y: np.linalg.pinv(_x).dot(_y)
225 yhat = grid.dot(reg_func(X, y))
226 if self.ci is None:
~/anaconda3/lib/python3.6/site-packages/numpy/linalg/linalg.py in pinv(a, rcond)
1721 res = empty(a.shape[:-2] + (a.shape[-1], a.shape[-2]), dtype=a.dtype)
1722 return wrap(res)
-> 1723 a = a.conjugate()
1724 u, s, vt = svd(a, full_matrices=False)
1725
AttributeError: 'str' object has no attribute 'conjugate'