Ich bekomme einen FloatingPointError, wenn ich Daten mit fehlenden Daten betrachten will.Pandas: FloatingPointError mit np.seterr (all = 'raise') und fehlende Daten
import numpy as np
import pandas as pd
np.seterr(all='raise')
s = pd.Series([np.nan,np.nan,np.nan],index=[1,2,3]); print(s); print(s.head())
ich auf die neueste Version von pandas
bin, über
conda install -f pandas
nach pkill python
und conda remove pandas
installiert.
Hier ist die Spur zurück:
Out[4]: ---------------------------------------------------------------------------
FloatingPointError Traceback (most recent call last)
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/IPython/core/formatters.pyc in __call__(self, obj)
695 type_pprinters=self.type_printers,
696 deferred_pprinters=self.deferred_printers)
--> 697 printer.pretty(obj)
698 printer.flush()
699 return stream.getvalue()
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/IPython/lib/pretty.pyc in pretty(self, obj)
381 if callable(meth):
382 return meth(obj, self, cycle)
--> 383 return _default_pprint(obj, self, cycle)
384 finally:
385 self.end_group()
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/IPython/lib/pretty.pyc in _default_pprint(obj, p, cycle)
501 if _safe_getattr(klass, '__repr__', None) not in _baseclass_reprs:
502 # A user-provided repr. Find newlines and replace them with p.break_()
--> 503 _repr_pprint(obj, p, cycle)
504 return
505 p.begin_group(1, '<')
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/IPython/lib/pretty.pyc in _repr_pprint(obj, p, cycle)
683 """A pprint that just redirects to the normal repr function."""
684 # Find newlines and replace them with p.break_()
--> 685 output = repr(obj)
686 for idx,output_line in enumerate(output.splitlines()):
687 if idx:
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/base.pyc in __repr__(self)
61 Yields Bytestring in Py2, Unicode String in py3.
62 """
---> 63 return str(self)
64
65
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/base.pyc in __str__(self)
41 if compat.PY3:
42 return self.__unicode__()
---> 43 return self.__bytes__()
44
45 def __bytes__(self):
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/base.pyc in __bytes__(self)
53
54 encoding = get_option("display.encoding")
---> 55 return self.__unicode__().encode(encoding, 'replace')
56
57 def __repr__(self):
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/series.pyc in __unicode__(self)
954
955 self.to_string(buf=buf, name=self.name, dtype=self.dtype,
--> 956 max_rows=max_rows)
957 result = buf.getvalue()
958
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/series.pyc in to_string(self, buf, na_rep, float_format, header, length, dtype, name, max_rows)
992 the_repr = self._get_repr(float_format=float_format, na_rep=na_rep,
993 header=header, length=length, dtype=dtype,
--> 994 name=name, max_rows=max_rows)
995
996 # catch contract violations
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/series.pyc in _get_repr(self, name, header, length, dtype, na_rep, float_format, max_rows)
1022 float_format=float_format,
1023 max_rows=max_rows)
-> 1024 result = formatter.to_string()
1025
1026 # TODO: following check prob. not neces.
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/format.pyc in to_string(self)
223
224 fmt_index, have_header = self._get_formatted_index()
--> 225 fmt_values = self._get_formatted_values()
226
227 maxlen = max(self.adj.len(x) for x in fmt_index) # max index len
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/format.pyc in _get_formatted_values(self)
213 return format_array(self.tr_series._values, None,
214 float_format=self.float_format,
--> 215 na_rep=self.na_rep)
216
217 def to_string(self):
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/format.pyc in format_array(values, formatter, float_format, na_rep, digits, space, justify)
1974 justify=justify)
1975
-> 1976 return fmt_obj.get_result()
1977
1978
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/format.pyc in get_result(self)
1990
1991 def get_result(self):
-> 1992 fmt_values = self._format_strings()
1993 return _make_fixed_width(fmt_values, self.justify)
1994
/home/xxx/.conda/envs/myenv2/lib/python2.7/site-packages/pandas/core/format.pyc in _format_strings(self)
2085
2086 # this is pretty arbitrary for now
-> 2087 has_large_values = (abs_vals > 1e8).any()
2088 has_small_values = ((abs_vals < 10 ** (-self.digits)) &
2089 (abs_vals > 0)).any()
FloatingPointError: invalid value encountered in greater
Weird: 'np.array ([np.nan])> 1e8' gibt mir' array ([False], dtype = bool) ', aber' np.array ([np.nan, np.nan]) > 1e8' hebt an. Muss ein anderer Zweig sein, wenn nur ein Element vorhanden ist. – DSM
Nun, ich habe ein Problem sowohl bei "Pandas" als auch bei "numpy" erstellt, mal sehen, was passiert. Ich denke, jetzt muss ich 'setterr()' ausschalten. Schaudern. Wie schlafen Menschen nachts, wenn * alle * diese FloatingPointErrors standardmäßig ignorieren? – FooBar