Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #---------------------

Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #---------------------

Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #---------------------

pandas: powerful Python data analysis toolkit, Release 0.12.0 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #--------------------- 5]’], dtype=object) qcut computes sample quantiles. For example, we could slice up some normally distributed data into equal-size 144 Chapter 8. Essential Basic Functionality pandas: powerful Python data

(GH11302) • Series.sort_index() now correctly handles the inplace option (GH11402) • Incorrectly distributed .c file in the build on PyPi when reading a csv of floats and passing na_values= would rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization in contributing, please visit the project website. License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 348 Chapter 5. Package overview pandas: powerful

(GH11302) • Series.sort_index() now correctly handles the inplace option (GH11402) • Incorrectly distributed .c file in the build on PyPi when reading a csv of floats and passing na_values= would rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization in contributing, please visit the project website. License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 350 Chapter 5. Package overview pandas: powerful

(GH11302) • Series.sort_index() now correctly handles the inplace option (GH11402) • Incorrectly distributed .c file in the build on PyPi when reading a csv of floats and passing na_values= would rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization contributing, please visit the project website. 4.6 License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 396 Chapter 4. Package overview pandas: powerful

(GH11302) • Series.sort_index() now correctly handles the inplace option (GH11402) • Incorrectly distributed .c file in the build on PyPi when reading a csv of floats and passing na_values= would rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization contributing, please visit the project website. 4.6 License ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD 394 Chapter 4. Package overview pandas: powerful

rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization pandas: powerful Python data analysis toolkit, Release 0.15.2 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #---------------------

rolling mean mode (mean=True) so that the calculated weighted means (e.g. ‘triang’, ‘gaussian’) are distributed about the same means as those calculated without weighting (i.e. ‘boxcar’). See the note on normalization pandas: powerful Python data analysis toolkit, Release 0.15.1 ======= License ======= pandas is distributed under a 3-clause ("Simplified" or "New") BSD license. Parts of NumPy, SciPy, numpydoc, bottleneck Development Team # All rights reserved. # # Distributed under the terms of the BSD Simplified License. # # The full license is in the LICENSE file, distributed with this software. #---------------------