---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-4-fb3da2322859> in <module>()
3 cashReserve18Nov2016.fillna(0, inplace=True)
4
----> 5 analyze.correlation_analyze(cashReserve18Nov2016,'Unnamed: 5', 'Unnamed: 0')
/home/anand/anaconda3/envs/analytics/lib/python3.5/site-packages/datascienceutils-1.2.19-py3.5.egg/datascienceutils/analyze.py in correlation_analyze(df, col1, col2, categories, measures, summary_only, check_linearity, trellis)
135 u,v = col1, col2
136 plots.append(plotter.scatterplot(df, u, v))
--> 137 plots.append(plotter.sb_jointplot(df[u], df[v]))
138 if check_linearity:
139 u_2diff = np.gradient(df[u], 2)
/home/anand/anaconda3/envs/analytics/lib/python3.5/site-packages/datascienceutils-1.2.19-py3.5.egg/datascienceutils/plotter.py in sb_jointplot(series1, series2)
535
536 # Show the joint distribution using kernel density estimation
--> 537 sns.jointplot(series1, series2, kind="kde", size=7, space=0)
538
539 def facets_dashboard(dataframe, **kwargs):
/home/anand/anaconda3/envs/analytics/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)
823 joint_kws.setdefault("shade", True)
824 joint_kws.setdefault("cmap", cmap)
--> 825 grid.plot_joint(kdeplot, **joint_kws)
826
827 marginal_kws.setdefault("shade", True)
/home/anand/anaconda3/envs/analytics/lib/python3.5/site-packages/seaborn/axisgrid.py in plot_joint(self, func, **kwargs)
1704 """
1705 plt.sca(self.ax_joint)
-> 1706 func(self.x, self.y, **kwargs)
1707
1708 return self
/home/anand/anaconda3/envs/analytics/lib/python3.5/site-packages/seaborn/distributions.py in kdeplot(data, data2, shade, vertical, kernel, bw, gridsize, cut, clip, legend, cumulative, shade_lowest, ax, **kwargs)
572 ax = plt.gca()
573
--> 574 data = data.astype(np.float64)
575 if data2 is not None:
576 data2 = data2.astype(np.float64)
ValueError: could not convert string to float: '%'