TimeSeries modifies a DataFrame inplace

On Feb 17, 2016, at 10:58 PM, novin01@gmail.com wrote:

I think this is a bug:

df1 = pd.DataFrame(data=np.random.rand(5,3), columns = ('a', 'b' ,'c'), index = pd.DatetimeIndex(start='01-01-2015',periods=5, freq='d'))   
df2 = df1.copy()
assert df2.equals(df1)
TimeSeries(df2)
assert df2.equals(df1)

results in:

---------------------------------------------------------------------------
AssertionError
                            Traceback (most recent call last)

<ipython-input-32-8de7d5ef3815> in <module>()
      3 assert df2.equals(df1)
      4 TimeSeries(df2)
----> 5 assert df2.equals(df1)

AssertionError:

In [36]: df2.columns
Out [36]: Index(['a', 'b', 'c', 'index'], dtype='object')

...i.e. a columns named `index` has been appended.

-Dave

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On Friday, 19 February 2016 23:27:53 UTC+10, Bryan Van de ven wrote:

This should be discussed with other devs, can you make an issue on GH with this information?

Bryan

On Feb 17, 2016, at 10:58 PM, nov...@gmail.com wrote:

I think this is a bug:

df1 = pd.DataFrame(data=np.random.rand(5,3), columns = (‘a’, ‘b’ ,‘c’), index = pd.DatetimeIndex(start=‘01-01-2015’,periods=5, freq=‘d’))
df2 = df1.copy()

assert df2.equals(df1)

TimeSeries(df2)

assert df2.equals(df1)

results in:

---

AssertionError

                        Traceback (most recent call last)

in ()

  3 assert df2.equals(df1)

  4 TimeSeries(df2)

----> 5 assert df2.equals(df1)

AssertionError:

In [36]: df2.columns
Out [36]: Index([‘a’, ‘b’, ‘c’, ‘index’], dtype=‘object’)

…i.e. a columns named index has been appended.

-Dave

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