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...
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
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