pandas Series getting 'Data must be 1-dimensional' error

I'm new to pandas & numpy. I'm running a simple program

labels = ['a','b','c','d','e']
s = Series(randn(5),index=labels)
print(s)

getting the following error

 s = Series(randn(5),index=labels) File "C:\Python27\lib\site-packages\pandas\core\series.py", line 243, in
__init__ raise_cast_failure=True) File "C:\Python27\lib\site-packages\pandas\core\series.py", line 2950, in
_sanitize_array raise Exception('Data must be 1-dimensional') Exception: Data must be 1-dimensional

Any idea what can be the issue? I'm trying this using eclipse, not using ipython notebook.

2 Answers

I suspect you have your imports wrong.

If you add this to your code:

from pandas import Series
from numpy.random import randn
labels = ['a','b','c','d','e']
s = Series(randn(5),index=labels)
print(s)
a 0.895322
b 0.949709
c -0.502680
d -0.511937
e -1.550810
dtype: float64

It runs fine.

That said, and as pointed out by @jezrael, it's better practice to import the modules rather than pollute the namespace.

Your code should look like this instead.

solution

import pandas as pd
import numpy as np
labels = ['a','b','c','d','e']
s = pd.Series(np.random.randn(5),index=labels)
print(s)

It seems you need numpy.random.rand for random floats or numpy.random.randint for random integers:

import pandas as pd
import numpy as np
np.random.seed(100)
labels = ['a','b','c','d','e']
s = pd.Series(np.random.randn(5),index=labels)
print(s)
a -1.749765
b 0.342680
c 1.153036
d -0.252436
e 0.981321
dtype: float64

np.random.seed(100)
labels = ['a','b','c','d','e']
s = pd.Series(np.random.randint(10, size=5),index=labels)
print(s)
a 8
b 8
c 3
d 7
e 7
dtype: int32