(GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels Select row by location (int) df.ix[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of 332378 DataFrame.sort_index can accept an optional by argument for axis=0 which will use an arbitrary vector or a column name of the DataFrame to determine the sort order: In [131]: df.sort_index(by=’two’)

(GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels Select row by location (int) df.ix[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of 157464 DataFrame.sort_index can accept an optional by argument for axis=0 which will use an arbitrary vector or a column name of the DataFrame to determine the sort order: In [131]: df.sort_index(by=’two’)

(GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels Select row by location (int) df.ix[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of 151528 DataFrame.sort_index can accept an optional by argument for axis=0 which will use an arbitrary vector or a column name of the DataFrame to determine the sort order: In [131]: df.sort_index(by=’two’)

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) 1.14. v.0.6.0 (November row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of

according to a given boolean mask (GH2109, GH2151) DataFrame currently supports slicing via a boolean vector the same length as the DataFrame (inside the []). The returned DataFrame has the same number of columns (GH368) • Can pass extra args, kwds to DataFrame.apply (GH376) • Implement DataFrame.join with vector on argument (GH312) • Added legend boolean flag to DataFrame.plot (GH324) • Can pass multiple levels row by integer location df.iloc[loc] Series Slice rows df[5:10] DataFrame Select rows by boolean vector df[bool_vec] DataFrame Row selection, for example, returns a Series whose index is the columns of