>>> %paste import pandas as pd x = pd.Series([1.0]) y = pd.Series(x, copy=True) z = pd.Series(x, copy=True, dtype=float) x[0] = 2.0 print(x[0]) print(y[0]) print(z[0]) ## -- End pasted text -- 2.0 1.0 2.0Problem description
Constructing a Series with copy=True should return a copy of the original, but when the dtype argument agrees with the source dtype, no copy is performed.
Expected Output Output ofpd.show_versions()
commit: None python: 3.5.2.final.0 python-bits: 64 OS: Linux OS-release: 4.1.13-100.fc21.x86_64 machine: x86_64 processor: x86_64 byteorder: little LC_ALL: C LANG: C LOCALE: None.None
pandas: 0.19.2
nose: 1.3.7
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.1
numpy: 1.11.2
scipy: 0.18.1
statsmodels: 0.6.1
xarray: None
IPython: 4.2.0
sphinx: 1.4.8
patsy: 0.4.1
dateutil: 2.5.3
pytz: 2016.7
blosc: None
bottleneck: 1.1.0
tables: 3.3.0
numexpr: 2.6.1
matplotlib: 1.5.3
openpyxl: 2.4.0
xlrd: 1.0.0
xlwt: 1.1.2
xlsxwriter: 0.9.3
lxml: 3.6.4
bs4: 4.5.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.1.3
pymysql: None
psycopg2: None
jinja2: 2.8
boto: 2.43.0
pandas_datareader: None
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