I run zipline in research, then take the backtest results and run them through pyfolio, but it fails. Can someone suggest what went wrong? I attach the notebook.
/usr/local/lib/python2.7/dist-packages/numpy/lib/nanfunctions.py:598: RuntimeWarning: Mean of empty slice
warnings.warn("Mean of empty slice", RuntimeWarning)
/usr/local/lib/python2.7/dist-packages/numpy/core/_methods.py:59: RuntimeWarning: Mean of empty slice.
warnings.warn("Mean of empty slice.", RuntimeWarning)
/usr/local/lib/python2.7/dist-packages/numpy/lib/function_base.py:1890: RuntimeWarning: Degrees of freedom <= 0 for slice
warnings.warn("Degrees of freedom <= 0 for slice", RuntimeWarning)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-24-f15a0a2e7356> in <module>()
1 pf.create_full_tear_sheet(returns, positions=positions, transactions=transactions,
----> 2 gross_lev=gross_lev, live_start_date='2000-01-01')
/usr/local/lib/python2.7/dist-packages/pyfolio/tears.pyc in create_full_tear_sheet(returns, positions, transactions, benchmark_rets, gross_lev, slippage, live_start_date, sector_mappings, bayesian, round_trips, hide_positions, cone_std, set_context)
157 cone_std=cone_std,
158 benchmark_rets=benchmark_rets,
--> 159 set_context=set_context)
160
161 create_interesting_times_tear_sheet(returns,
/usr/local/lib/python2.7/dist-packages/pyfolio/plotting.pyc in call_w_context(*args, **kwargs)
44 if set_context:
45 with context():
---> 46 return func(*args, **kwargs)
47 else:
48 return func(*args, **kwargs)
/usr/local/lib/python2.7/dist-packages/pyfolio/tears.pyc in create_returns_tear_sheet(returns, live_start_date, cone_std, benchmark_rets, return_fig)
274 live_start_date=live_start_date,
275 cone_std=cone_std,
--> 276 ax=ax_rolling_returns)
277 ax_rolling_returns.set_title(
278 'Cumulative Returns')
/usr/local/lib/python2.7/dist-packages/pyfolio/plotting.pyc in plot_rolling_returns(returns, factor_returns, live_start_date, cone_std, legend_loc, volatility_match, cone_function, ax, **kwargs)
613
614 is_cum_returns.plot(lw=3, color='forestgreen', alpha=0.6,
--> 615 label='Backtest', ax=ax, **kwargs)
616
617 if len(oos_cum_returns) > 0:
/usr/local/lib/python2.7/dist-packages/pandas/tools/plotting.pyc in plot_series(data, kind, ax, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, label, secondary_y, **kwds)
2517 yerr=yerr, xerr=xerr,
2518 label=label, secondary_y=secondary_y,
-> 2519 **kwds)
2520
2521
/usr/local/lib/python2.7/dist-packages/pandas/tools/plotting.pyc in _plot(data, x, y, subplots, ax, kind, **kwds)
2322 plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds)
2323
-> 2324 plot_obj.generate()
2325 plot_obj.draw()
2326 return plot_obj.result
/usr/local/lib/python2.7/dist-packages/pandas/tools/plotting.pyc in generate(self)
910 def generate(self):
911 self._args_adjust()
--> 912 self._compute_plot_data()
913 self._setup_subplots()
914 self._make_plot()
/usr/local/lib/python2.7/dist-packages/pandas/tools/plotting.pyc in _compute_plot_data(self)
1015 if is_empty:
1016 raise TypeError('Empty {0!r}: no numeric data to '
-> 1017 'plot'.format(numeric_data.__class__.__name__))
1018
1019 self.data = numeric_data
TypeError: Empty 'DataFrame': no numeric data to plot