Say I have dataframe, c
:
a=np.random.random((6,2))
c=pd.DataFrame(a)
c.columns=['A','B']
printing row 0 values:
print c.loc[(0),:]
results in:
A 0.220170
B 0.261467
Name: 0, dtype: float64
I would like to suppress the Name: 0, dtype: float64
line so that I just get:
A 0.220170
B 0.261467
Does anyone know how?
(n.b. I am appending this to a text file)
You can tweak the __unicode__
method for a Series:
In [11]: s = pd.Series([1, 2])
In [12]: s
Out[12]:
0 1
1 2
dtype: int64
In [13]: pd.Series.__unicode__ = pd.Series.to_string
In [14]: s # same with print
Out[14]:
0 1
1 2
To append to a csv use append mode (see this or this question).
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