Description
Code Sample, a copy-pastable example if possible
import numpy as np
import pandas as pd
rows = 10
persons = [
{
'name': ''.join([
np.random.choice([chr(x) for x in range(97, 97 + 26)])
for i in range(5)
]),
'sex': np.random.choice(['male', 'female']),
'age': np.random.randint(10, 100),
'job': np.random.choice(['staff', 'cook', 'student']),
'birthday': np.random.choice(pd.date_range('1990-01-01', '2010-01-01')),
'hobby': np.random.choice(['cs', 'war3', 'dota'])
}
for i in range(rows)
]
df = pd.DataFrame(persons)
df_indexed = df.set_index('birthday')
df_indexed.index = pd.date_range('2010-01-01', '2010-01-10')
# Works well on single row
df_indexed.loc['2010-01-01', 'age': 'sex']
# Works well on slicing
df_indexed.loc['2010-01-01': '2010-01-05', 'age': 'sex']
# Works well on slicing
df_indexed.loc[slice('2010-01-01', '2010-01-05'), 'age': 'sex']
# ERROR!
df_indexed.loc[['2010-01-01', '2010-01-05'], ['age', 'sex']]
# Works well if convert the string to datetime
df_indexed.loc[[pd.to_datetime('2010-01-01'), pd.to_datetime('2010-01-05')], ['age', 'sex']]Problem description
strings are not convert to datetime when selecting multi-rows in a DataFrame whose index is DatetimeIndex. Since it works in selecting single row and slice object, I personally think it would work in list of strings.
Expected Output
Output of pd.show_versions()
INSTALLED VERSIONS
commit: None
python: 3.6.1.final.0
python-bits: 64
OS: Darwin
OS-release: 16.6.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: en_US.UTF-8
LANG: en_US.UTF-8
LOCALE: en_US.UTF-8
pandas: 0.20.1
pytest: 3.0.7
pip: 9.0.1
setuptools: 35.0.2
Cython: 0.25.2
numpy: 1.12.1
scipy: 0.19.0
xarray: 0.9.5
IPython: 6.0.0
sphinx: 1.5.5
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: 1.2.0
tables: 3.4.2
numexpr: 2.6.2
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.7
xlrd: 1.0.0
xlwt: None
xlsxwriter: None
lxml: 3.7.3
bs4: 4.6.0
html5lib: 0.999999999
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
pandas_gbq: None
pandas_datareader: None