Unexpected result when setting a row by a dict
See original GitHub issueCode Sample, a copy-pastable example if possible
import numpy as np
import pandas as pd
persons = [
{
'name': ''.join([
np.random.choice([chr(x) for x in range(97, 97 + 26)])
for i in range(5)
]),
'age': np.random.randint(0, 100),
'sex': np.random.choice(['male', 'female']),
'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(10)
]
df = pd.DataFrame(persons)
df.set_index('birthday', inplace=True)
print(df)
df.iloc[0] = {
'name': 'john',
'age': int(10),
'sex': 'male',
'hobby': 'nohobby',
'job': 'haha'
}
print(df)
Problem description
age hobby job name sex
birthday
2007-12-31 name age sex hobby job
2004-07-31 20 dota student uwxhn female
2001-10-22 34 war3 cook udknv female
2002-10-13 91 dota cook bofcv female
1992-05-25 54 war3 cook tcqew male
2009-09-02 95 war3 staff jcolr female
1998-12-15 61 war3 student dibkw female
2004-07-03 4 war3 student mntqh male
2000-06-08 88 war3 staff jknxm female
2006-10-19 82 cs student asrpz male
Have no idea why the keys are set to the rows.
Expected Output
age hobby job name sex
birthday
2007-12-31 10 nohobby haha john male
2004-07-31 20 dota student uwxhn female
2001-10-22 34 war3 cook udknv female
2002-10-13 91 dota cook bofcv female
1992-05-25 54 war3 cook tcqew male
2009-09-02 95 war3 staff jcolr female
1998-12-15 61 war3 student dibkw female
2004-07-03 4 war3 student mntqh male
2000-06-08 88 war3 staff jknxm female
2006-10-19 82 cs student asrpz male
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
Issue Analytics
- State:
- Created 6 years ago
- Comments:11 (9 by maintainers)
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Top GitHub Comments
Your example probably should work then, my mistake. It seems like we don’t probably set when there are multiple dtypes?
Looks like there’s a test for this issue:
test_iloc_setitem_dictionary_value
. Closing