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| 1 | +# ***************************************************************************** |
| 2 | +# Copyright (c) 2020, Intel Corporation All rights reserved. |
| 3 | +# |
| 4 | +# Redistribution and use in source and binary forms, with or without |
| 5 | +# modification, are permitted provided that the following conditions are met: |
| 6 | +# |
| 7 | +# Redistributions of source code must retain the above copyright notice, |
| 8 | +# this list of conditions and the following disclaimer. |
| 9 | +# |
| 10 | +# Redistributions in binary form must reproduce the above copyright notice, |
| 11 | +# this list of conditions and the following disclaimer in the documentation |
| 12 | +# and/or other materials provided with the distribution. |
| 13 | +# |
| 14 | +# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| 15 | +# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, |
| 16 | +# THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR |
| 17 | +# PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR |
| 18 | +# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, |
| 19 | +# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, |
| 20 | +# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; |
| 21 | +# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, |
| 22 | +# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR |
| 23 | +# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, |
| 24 | +# EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| 25 | +# ***************************************************************************** |
| 26 | + |
| 27 | +""" |
| 28 | + Expected result: |
| 29 | + A 0.251661 |
| 30 | + B 2.516611 |
| 31 | + C NaN |
| 32 | + dtype: float64 |
| 33 | +""" |
| 34 | + |
| 35 | +import pandas as pd |
| 36 | +import numpy as np |
| 37 | +from numba import njit |
| 38 | + |
| 39 | + |
| 40 | +@njit |
| 41 | +def dataframe_std(): |
| 42 | + df = pd.DataFrame({"A": [.2, .0, .6, .2], |
| 43 | + "B": [2, 0, 6, 2], |
| 44 | + "C": [-1, np.nan, 1, np.inf]}) |
| 45 | + |
| 46 | + return df.std() |
| 47 | + |
| 48 | + |
| 49 | +print(dataframe_std()) |
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