time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a dtype: float64 1.15.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a dtype: float64 1.14.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a Release 0.15.2 1.19.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a Release 0.15.1 1.18.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a g -0.566048 1.4.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a 790509 g 1.109413 1.2.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string 1.3. v.0.6.1 (December 13, 2011) 9 pandas:

completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a 790509 g 1.109413 1.3.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__ DataFrame (PR296) • Added Series.isin function which checks if each value is contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a dtype: float64 1.12.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

time-series plots. • added option display.max_seq_items to control the number of elements printed per sequence pprinting it. (GH2979) • added option display.chop_threshold to control display of small numerical completion (GH554) • Implement DataFrame.lookup, fancy-indexing analogue for retrieving values given a sequence of row and column labels (GH338) • Can pass a list of functions to aggregate with groupby on a Release 0.17.0 1.23.4 Changes to Series [] operator As as notational convenience, you can pass a sequence of labels or a label slice to a Series when getting and setting values via [] (i.e. the __getitem__

index_col [int, str, sequence of int / str, or False, default None] Column(s) to use as the row labels of the DataFrame, either given as string name or column index. If a sequence of int / str is given keep the original columns. date_parser [function, default None] Function to use for converting a sequence of string columns to an array of datetime instances. The default uses dateutil.parser.parser to if desired. If None (default), and header and index are True, then the index names are used. (A sequence should be given if the DataFrame uses MultiIndex). • mode : Python write mode, default ‘w’ • encoding: