Pandas dataframe description не работает должным образом для фрейма данных, сгенерированного мной с использованием raw sql.
В чем может быть проблема?Что-то мне не хватает?
Мой код:
import psycopg2
import pandas as pd
import numpy as np
credentials = {
'database': '',
'host': '',
'user': '',
'password': ''
}
print('Database connection started.')
conn = psycopg2.connect(**credentials)
cur = conn.cursor()
cur.execute('select * from userdetail')
df = pd.DataFrame(cur.fetchall())
fields = [x[0] for x in cur.description]
cur.close()
conn.close()
print("Database connection is closed now ")
df.columns = fields
df.describe() # works
df.describe(include='all') # doesn't work
Полная трассировка стека ниже показывает следующее
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-1-10a5f5b12254> in <module>()
20 print("Database connection is closed now ")
21 df.columns = fields
---> 22 df.describe(include='all')
/usr/lib/python3.6/site-packages/pandas/core/generic.py in describe(self, percentiles, include, exclude)
8568 data = self.select_dtypes(include=include, exclude=exclude)
8569
-> 8570 ldesc = [describe_1d(s) for _, s in data.iteritems()]
8571 # set a convenient order for rows
8572 names = []
/usr/lib/python3.6/site-packages/pandas/core/generic.py in <listcomp>(.0)
8568 data = self.select_dtypes(include=include, exclude=exclude)
8569
-> 8570 ldesc = [describe_1d(s) for _, s in data.iteritems()]
8571 # set a convenient order for rows
8572 names = []
/usr/lib/python3.6/site-packages/pandas/core/generic.py in describe_1d(data)
8551 return describe_numeric_1d(data)
8552 else:
-> 8553 return describe_categorical_1d(data)
8554
8555 if self.ndim == 1:
/usr/lib/python3.6/site-packages/pandas/core/generic.py in describe_categorical_1d(data)
8525 def describe_categorical_1d(data):
8526 names = ['count', 'unique']
-> 8527 objcounts = data.value_counts()
8528 count_unique = len(objcounts[objcounts != 0])
8529 result = [data.count(), count_unique]
/usr/lib/python3.6/site-packages/pandas/core/base.py in value_counts(self, normalize, sort, ascending, bins, dropna)
1036 from pandas.core.algorithms import value_counts
1037 result = value_counts(self, sort=sort, ascending=ascending,
-> 1038 normalize=normalize, bins=bins, dropna=dropna)
1039 return result
1040
/usr/lib/python3.6/site-packages/pandas/core/algorithms.py in value_counts(values, sort, ascending, normalize, bins, dropna)
714
715 else:
--> 716 keys, counts = _value_counts_arraylike(values, dropna)
717
718 if not isinstance(keys, Index):
/usr/lib/python3.6/site-packages/pandas/core/algorithms.py in _value_counts_arraylike(values, dropna)
759 # TODO: handle uint8
760 f = getattr(htable, "value_count_{dtype}".format(dtype=ndtype))
--> 761 keys, counts = f(values, dropna)
762
763 mask = isna(values)
pandas/_libs/hashtable_func_helper.pxi in pandas._libs.hashtable.value_count_object()
pandas/_libs/hashtable_func_helper.pxi in pandas._libs.hashtable.value_count_object()
TypeError: unhashable type: 'list'
Я хочу увидеть описаниевесь кадр данных.Какую ошибку я получаю?