dave-doty
commented
3 years ago More specifically, this code failed:
s,i,r = 'S','I','R'
p = 0.1
delta = {
(i,i): {(i,r): p},
(s,i): {(s,r): p, (i,i): 1-p},
(r,i): {(r,r): p},
}
n = 10**6
init = {i:1, s: n-1}
sim = pp.Simulation(init, delta)
sim.run(100, 0.1)
sim.history.plot()on the last line with
TypeError Traceback (most recent call last)
<ipython-input-1-2a771cca455d> in <module>
18 sim.run(100, 0.1)
19 # print(sim.history)
---> 20 sim.history.plot()
~\Anaconda3\lib\site-packages\pandas\plotting\_core.py in __call__(self, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
2940 fontsize=fontsize, colormap=colormap, table=table,
2941 yerr=yerr, xerr=xerr, secondary_y=secondary_y,
-> 2942 sort_columns=sort_columns, **kwds)
2943 __call__.__doc__ = plot_frame.__doc__
2944
~\Anaconda3\lib\site-packages\pandas\plotting\_core.py in plot_frame(data, x, y, kind, ax, subplots, sharex, sharey, layout, figsize, use_index, title, grid, legend, style, logx, logy, loglog, xticks, yticks, xlim, ylim, rot, fontsize, colormap, table, yerr, xerr, secondary_y, sort_columns, **kwds)
1971 yerr=yerr, xerr=xerr,
1972 secondary_y=secondary_y, sort_columns=sort_columns,
-> 1973 **kwds)
1974
1975
~\Anaconda3\lib\site-packages\pandas\plotting\_core.py in _plot(data, x, y, subplots, ax, kind, **kwds)
1799 plot_obj = klass(data, subplots=subplots, ax=ax, kind=kind, **kwds)
1800
-> 1801 plot_obj.generate()
1802 plot_obj.draw()
1803 return plot_obj.result
~\Anaconda3\lib\site-packages\pandas\plotting\_core.py in generate(self)
247 def generate(self):
248 self._args_adjust()
--> 249 self._compute_plot_data()
250 self._setup_subplots()
251 self._make_plot()
~\Anaconda3\lib\site-packages\pandas\plotting\_core.py in _compute_plot_data(self)
355 "datetime",
356 "datetimetz",
--> 357 "timedelta"])
358
359 try:
~\Anaconda3\lib\site-packages\pandas\core\frame.py in select_dtypes(self, include, exclude)
3324 # the "union" of the logic of case 1 and case 2:
3325 # we get the included and excluded, and return their logical and
-> 3326 include_these = Series(not bool(include), index=self.columns)
3327 exclude_these = Series(not bool(exclude), index=self.columns)
3328
~\Anaconda3\lib\site-packages\pandas\core\series.py in __init__(self, data, index, dtype, name, copy, fastpath)
260 else:
261 data = sanitize_array(data, index, dtype, copy,
--> 262 raise_cast_failure=True)
263
264 data = SingleBlockManager(data, index, fastpath=True)
~\Anaconda3\lib\site-packages\pandas\core\internals\construction.py in sanitize_array(data, index, dtype, copy, raise_cast_failure)
640
641 subarr = construct_1d_arraylike_from_scalar(
--> 642 value, len(index), dtype)
643
644 else:
~\Anaconda3\lib\site-packages\pandas\core\dtypes\cast.py in construct_1d_arraylike_from_scalar(value, length, dtype)
1185 value = to_str(value)
1186
-> 1187 subarr = np.empty(length, dtype=dtype)
1188 subarr.fill(value)
1189
TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type
I ran into this confusing error due to having pandas 0.24.2 installed: https://github.com/numpy/numpy/issues/18355
Upgrading to 1.3.3 fixed in. Not sure which version is required.
I got another error with an old version of numpy, something about numpy.random.bit_generator not defined. Might be best to define lower bounds for all the dependencies just in case people have old installations.