arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments Finance. 1.6.1 New features • Add encode and decode for unicode handling to vectorized string processing methods in Series.str (GH1706) • Add DataFrame.to_latex method (GH1735) • Add convenient expanding features include notably NA friendly string processing functionality and a series of new plot types and options. 1.7.1 New features • Add vectorized string processing methods accessible via Series.str (GH620)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1181 33.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1181 33.7 Other Considerations (GH11256) • Bug in pd.read_csv() in which the dialect parameter was not being verified before processing (GH14898) • Bug in pd.read_csv() in which missing data was being improperly handled with usecols Bug in pd.read_csv() which may cause a segfault or corruption when iterating in large chunks over a stream/file under rare circumstances (GH13703) • Bug in pd.read_csv() which caused errors to be raised

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 xxiii 33.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1179 33.7 Other Considerations (GH11256) • Bug in pd.read_csv() in which the dialect parameter was not being verified before processing (GH14898) • Bug in pd.read_csv() in which missing data was being improperly handled with usecols Bug in pd.read_csv() which may cause a segfault or corruption when iterating in large chunks over a stream/file under rare circumstances (GH13703) • Bug in pd.read_csv() which caused errors to be raised

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1213 33.4 String Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1213 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1219 33.7.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1220 33.8 Other Considerations (GH11256) • Bug in pd.read_csv() in which the dialect parameter was not being verified before processing (GH14898) • Bug in pd.read_csv() in which missing data was being improperly handled with usecols

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1087 34.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1087 34.7 Other Considerations Bug in pd.read_csv() which may cause a segfault or corruption when iterating in large chunks over a stream/file under rare circumstances (GH13703) • Bug in pd.read_csv() which caused errors to be raised resample(..).fillna(..) when passing a non-string (GH12952) • Bug fixes in various encoding and header processing issues in pd.read_sas() (GH12659, GH12654, GH12647, GH12809) • Bug in pd.crosstab() where would

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1089 34.6.3 By Group Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1089 34.7 Other Considerations Bug in pd.read_csv() which may cause a segfault or corruption when iterating in large chunks over a stream/file under rare circumstances (GH13703) • Bug in pd.read_csv() which caused errors to be raised resample(..).fillna(..) when passing a non-string (GH12952) • Bug fixes in various encoding and header processing issues in pd.read_sas() (GH12659, GH12654, GH12647, GH12809) • Bug in pd.crosstab() where would

========================================== """ The pipe method is inspired by unix pipes, which stream text through processes. More recently dplyr and magrittr have introduced the popular (%>%) pipe operator 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 arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments

4 3 3 3 5 2 6 1 0 1 dtype: int64 String Methods Series is equipped with a set of string processing methods in the str attribute that make it easy to operate on each element of the array, as in the 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 non-datetime-like values. 3.3.10 Vectorized string methods Series is equipped with a set of string processing methods that make it easy to operate on each element of the array. Perhaps most importantly, these

6 3 2 3 3 2 5 1 1 1 dtype: int64 String Methods Series is equipped with a set of string processing methods in the str attribute that make it easy to operate on each element of the array, as in the 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 non-datetime-like values. 3.3.10 Vectorized string methods Series is equipped with a set of string processing methods that make it easy to operate on each element of the array. Perhaps most importantly, these

arising from a converter function as NA if passed in the na_values argument. It’s better to do post-processing using the replace function instead. • Calling fillna on Series or DataFrame with no arguments Finance. 1.8.1 New features • Add encode and decode for unicode handling to vectorized string processing methods in Series.str (GH1706) • Add DataFrame.to_latex method (GH1735) • Add convenient expanding features include notably NA friendly string processing functionality and a series of new plot types and options. 1.9.1 New features • Add vectorized string processing methods accessible via Series.str (GH620)