Closed
Description
xref #7751
import pandas as pd
pd.cut([0,0,0,0], 10)result:
ValueError: Bin edges must be unique: array([ 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
On the other hand, pandas.cut works on non-unique inputs other than zero. The culprit are the following lines of code in tile.py:
if mn == mx: # adjust end points before binning
mn -= .001 * mn
mx += .001 * mx
bins = np.linspace(mn, mx, bins + 1, endpoint=True)When mn and mx are zero, the adjustment isn't made.
>>> pd.show_versions()
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 2.6.32-300.3.1.el6uek.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8
pandas: 0.14.1
nose: 1.3.1
Cython: None
numpy: 1.9.0
scipy: 0.14.0
statsmodels: None
IPython: 2.0.0
sphinx: None
patsy: None
scikits.timeseries: None
dateutil: 2.2
pytz: 2014.4
bottleneck: None
tables: None
numexpr: None
matplotlib: 1.3.1
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
rpy2: 2.4.2
sqlalchemy: None
pymysql: None
psycopg2: None