CODEWITHSUNDEEP
pythonpandasdataframe
TheChetan
TheChetan

Reputation: 4596

Getting an error while using Pandas.Series.quantile()

As per the documentation on the Pandas page, we are allowed to pass a list of values to the quantile function in Pandas series.

>>> s = Series([1, 2, 3, 4])
>>> s.quantile(.5)
    2.5
>>> s.quantile([.25, .5, .75])
0.25    1.75
0.50    2.50
0.75    3.25

dtype: float64

While trying the same on my system, I get the following error.

>>> import pandas as pd
>>> s = pd.Series([1, 2, 3, 4])
>>> s
0    1
1    2
2    3
3    4
dtype: int64
>>> s.quantile(0.5)
2.5
>>> s.quantile([0.25, 0.5, 0.75])
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/lib/python2.7/dist-packages/pandas/core/series.py", line 1324, in quantile
    result = _quantile(valid_values, q * 100)
  File "/usr/lib/python2.7/dist-packages/pandas/compat/scipy.py", line 66, in scoreatpercentile
    idx = per / 100. * (values.shape[0] - 1)
TypeError: unsupported operand type(s) for /: 'list' and 'float'

Thanks in advance.

Upvotes: 0

Views: 764

Answers (1)

Mangu Singh Rajpurohit
Mangu Singh Rajpurohit

Reputation: 11420

I think there's an issue with the version of SciPy that you are using. Just check it out, which version of SciPy, your current version of pandas is dependent on and accordingly update the SciPy library.

Upvotes: 1

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