1.11.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for running Python. To deal with this issue you should convert the underlying NumPy array to the native system byte order before passing it to Series/DataFrame/Panel constructors using something similar to the

(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 0.7.0. New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe

(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 0.7.0. New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe

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 1.18.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for

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 1.17.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for

(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 1.31.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe

(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 1.30.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe

1.13.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for running Python. To deal with this issue you should convert the underlying NumPy array to the native system byte order before passing it to Series/DataFrame/Panel constructors using something similar to the

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 1.22.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for

1.14.1 New features • Add to_clipboard function to pandas namespace for writing objects to the system clipboard (GH774) • Add itertuples method to DataFrame for iterating through the rows of a dataframe Anaconda you should definitely read the gotchas about HTML parsing libraries Note: – if you’re on a system with apt-get you can do sudo apt-get build-dep python-lxml to get the necessary dependencies for running Python. To deal with this issue you should convert the underlying NumPy array to the native system byte order before passing it to Series/DataFrame/Panel constructors using something similar to the