import pandas as pd import numpy as np pn1 = pd.Panel(np.array([1.0], dtype=np.float32, ndmin=3)) # panel of 1.0 pn2 = pd.Panel(np.array([np.nan], dtype=np.float32, ndmin=3)) # panel of nan print(pd.concat([pn1, pn1]).values.dtype) print(pd.concat([pn2, pn2]).values.dtype)
INSTALLED VERSIONS ------------------ commit: None python: 3.5.1.final.0 python-bits: 64 OS: Darwin OS-release: 14.5.0 machine: x86_64 processor: i386 byteorder: little LC_ALL: None LANG: en_US.UTF-8 pandas: 0.18.1 nose: 1.3.7 pip: 8.1.0 setuptools: 20.2.2 Cython: 0.23.4 numpy: 1.11.0 scipy: 0.17.0 statsmodels: None xarray: None IPython: 4.0.1 sphinx: 1.3.1 patsy: None dateutil: 2.4.2 pytz: 2015.7 blosc: None bottleneck: 1.1.0dev tables: 3.2.2 numexpr: 2.5.1 matplotlib: 1.5.1 openpyxl: None xlrd: None xlwt: None xlsxwriter: None lxml: None bs4: None html5lib: None httplib2: 0.9.2 apiclient: None sqlalchemy: 1.0.12 pymysql: 0.6.7.None psycopg2: 2.6.1 (dt dec pq3 ext) jinja2: 2.8 boto: None pandas_datareader: None
