Python syntax (set([x,y])) (GH11215) • Improve the error message in pandas.io.gbq.to_gbq() when a streaming insert fails (GH11285) and when the DataFrame does not match the schema of the destination table (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

Python syntax (set([x,y])) (GH11215) • Improve the error message in pandas.io.gbq.to_gbq() when a streaming insert fails (GH11285) and when the DataFrame does not match the schema of the destination table (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

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. 5.6 License ======= 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 0.15.2 ======= 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. #---------------------

Python syntax (set([x, y])) (GH11215) • Improve the error message in pandas.io.gbq.to_gbq() when a streaming insert fails (GH11285) and when the DataFrame does not match the schema of the destination table (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

Python syntax (set([x, y])) (GH11215) • Improve the error message in pandas.io.gbq.to_gbq() when a streaming insert fails (GH11285) and when the DataFrame does not match the schema of the destination table (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

Python syntax (set([x, y])) (GH11215) • Improve the error message in pandas.io.gbq.to_gbq() when a streaming insert fails (GH11285) and when the DataFrame does not match the schema of the destination table (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

1] < (1, 5]] qcut() computes sample quantiles. For example, we could slice up some normally distributed data into equal-size quartiles like so: In [131]: arr = np.random.randn(30) In [132]: factor Plotly Plotly’s Python API enables interactive figures and web shareability. Maps, 2D, 3D, and live-streaming graphs are rendered with WebGL and D3.js. The library supports plotting directly from a pandas DataFrame analysis toolkit, Release 0.25.0 5.3 IDE 5.3.1 IPython IPython is an interactive command shell and distributed computing environment. IPython tab completion works with Pandas methods and also attributes like

1] < (1, 5]] qcut() computes sample quantiles. For example, we could slice up some normally distributed data into equal-size quartiles like so: In [131]: arr = np.random.randn(30) In [132]: factor Plotly Plotly’s Python API enables interactive figures and web shareability. Maps, 2D, 3D, and live-streaming graphs are rendered with WebGL and D3.js. The library supports plotting directly from a pandas DataFrame analysis toolkit, Release 0.25.1 5.3 IDE 5.3.1 IPython IPython is an interactive command shell and distributed computing environment. IPython tab completion works with Pandas methods and also attributes like