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Thanks for great tool!
When printing a long DataFrame with multi-index which are result of set_index(..., append=True),
displaying index values look strange.
import pandas as pd def func(n): x = [ [['a1-%d' % i, 'a2-%d' % i] for i in range(n)], [['b1-%d' % i, 'b2-%d' % i] for i in range(n)], ] y = pd.concat([pd.DataFrame(a) for a in x], keys=['X', 'Y']).set_index(1, append=True) print(y) func(5) # no problem func(50) # bug!When DataFrames are short (in this case, 10 rows), there is no problem.
However, when DataFrames is long (in this case, 100 rows) and omitted middle-part on printing, some columns of index is not correct.
0 1 X 0 a2-0 a1-0 1 a2-1 a1-1 2 a2-2 a1-2 3 a2-3 a1-3 4 a2-4 a1-4 Y 0 b2-0 b1-0 1 b2-1 b1-1 2 b2-2 b1-2 3 b2-3 b1-3 4 b2-4 b1-4 0 1 X a2-0 a2-0 a1-0 a2-1 a2-1 a1-1 a2-2 a2-2 a1-2 a2-3 a2-3 a1-3 a2-4 a2-4 a1-4 a2-5 a2-5 a1-5 a2-6 a2-6 a1-6 a2-7 a2-7 a1-7 a2-8 a2-8 a1-8 a2-9 a2-9 a1-9 ... ... Y b2-40 b2-40 b1-40 b2-41 b2-41 b1-41 b2-42 b2-42 b1-42 b2-43 b2-43 b1-43 b2-44 b2-44 b1-44 b2-45 b2-45 b1-45 b2-46 b2-46 b1-46 b2-47 b2-47 b1-47 b2-48 b2-48 b1-48 b2-49 b2-49 b1-49 [100 rows x 1 columns] result of pd.show_versions() is as follows.
INSTALLED VERSIONS ------------------ commit: None python: 3.5.1.final.0 python-bits: 64 OS: Linux OS-release: 2.6.32-279.22.1.el6.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: None LANG: en_US.UTF-8 pandas: 0.17.1 nose: 1.3.7 pip: 7.1.2 setuptools: 18.5 Cython: 0.23.4 numpy: 1.10.1 scipy: 0.16.0 statsmodels: 0.6.1 IPython: 4.0.1 sphinx: 1.3.1 patsy: 0.4.0 dateutil: 2.4.2 pytz: 2015.7 blosc: None bottleneck: 1.0.0 tables: 3.2.2 numexpr: 2.4.4 matplotlib: 1.5.0 openpyxl: 2.2.6 xlrd: 0.9.4 xlwt: 1.0.0 xlsxwriter: 0.7.7 lxml: 3.4.4 bs4: 4.4.1 html5lib: None httplib2: None apiclient: None sqlalchemy: 1.0.9 pymysql: None psycopg2: None Jinja2: None