 pandas: powerful Python data analysis toolkit - 0.12GH3876, GH3867, GH1305) • MultiIndex column support for reading and writing csv format files – The header option in read_csv now accepts a list of the rows from which to read the index. – The option, tupleize_cols R2C2 R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2 R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2 In [24]: pd.read_csv(’mi.csv’,header=[0,1,2,3],index_col=[0,1],tupleize_cols=False) C0 C_l0_g0 C_l0_g1 C_l0_g2 1.1. v0.12.0 (July 24 parts of the computation and is often unnec- essary. • The default column names for a file with no header have been changed to the integers 0 through N - 1. This is to create consistency with the DataFrame0 码力 | 657 页 | 3.58 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.12GH3876, GH3867, GH1305) • MultiIndex column support for reading and writing csv format files – The header option in read_csv now accepts a list of the rows from which to read the index. – The option, tupleize_cols R2C2 R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2 R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2 In [24]: pd.read_csv(’mi.csv’,header=[0,1,2,3],index_col=[0,1],tupleize_cols=False) C0 C_l0_g0 C_l0_g1 C_l0_g2 1.1. v0.12.0 (July 24 parts of the computation and is often unnec- essary. • The default column names for a file with no header have been changed to the integers 0 through N - 1. This is to create consistency with the DataFrame0 码力 | 657 页 | 3.58 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.7.1completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index (December 13, 2011) 9 pandas: powerful Python data analysis toolkit, Release 0.7.1 • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 281 页 | 1.45 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.7.1completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index (December 13, 2011) 9 pandas: powerful Python data analysis toolkit, Release 0.7.1 • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 281 页 | 1.45 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.7.2completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 283 页 | 1.45 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.7.2completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 283 页 | 1.45 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.7.3completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 297 页 | 1.92 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.7.3completion (PR563) • Add logy option to Series.plot for log-scaling on the Y axis • Add index and header options to DataFrame.to_string • Can pass multiple DataFrames to DataFrame.join to join on index contained in a passed sequence (GH289) • Added float_format option to Series.to_string • Added skip_footer (GH291) and converters (GH343) options to read_csv and read_table • Added drop_duplicates and duplicated indicate arbitrary whitespace. • header: row number to use as the column names, and the start of the data. Defaults to 0 (first row); specify None if there is no header row. • names: List of column names0 码力 | 297 页 | 1.92 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.13.1v0.12.0 (July 24, 2013) 37 pandas: powerful Python data analysis toolkit, Release 0.13.1 – The header option in read_csv now accepts a list of the rows from which to read the index. – The option, tupleize_cols R2C2 R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2 R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2 In [24]: pd.read_csv(’mi.csv’,header=[0,1,2,3],index_col=[0,1],tupleize_cols=False) Out[24]: C0 C_l0_g0 C_l0_g1 C_l0_g2 C1 C_l1_g0 C_l1_g1 parts of the computation and is often unnec- essary. • The default column names for a file with no header have been changed to the integers 0 through N - 1. This is to create consistency with the DataFrame0 码力 | 1219 页 | 4.81 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.13.1v0.12.0 (July 24, 2013) 37 pandas: powerful Python data analysis toolkit, Release 0.13.1 – The header option in read_csv now accepts a list of the rows from which to read the index. – The option, tupleize_cols R2C2 R_l0_g3,R_l1_g3,R3C0,R3C1,R3C2 R_l0_g4,R_l1_g4,R4C0,R4C1,R4C2 In [24]: pd.read_csv(’mi.csv’,header=[0,1,2,3],index_col=[0,1],tupleize_cols=False) Out[24]: C0 C_l0_g0 C_l0_g1 C_l0_g2 C1 C_l1_g0 C_l1_g1 parts of the computation and is often unnec- essary. • The default column names for a file with no header have been changed to the integers 0 through N - 1. This is to create consistency with the DataFrame0 码力 | 1219 页 | 4.81 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.14.0dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations wasn’t renamed to the group name • Bug in DataFrame.to_csv where setting index=False ignored the header kwarg (GH6186) • Bug in DataFrame.plot and Series.plot, where the legend behave inconsistently when and \r-delimited lines • Bug in python parser with explicit multi-index in row following column header (GH6893) • Bug in Series.rank and DataFrame.rank that caused small floats (<1e-13) to all receive0 码力 | 1349 页 | 7.67 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.14.0dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations wasn’t renamed to the group name • Bug in DataFrame.to_csv where setting index=False ignored the header kwarg (GH6186) • Bug in DataFrame.plot and Series.plot, where the legend behave inconsistently when and \r-delimited lines • Bug in python parser with explicit multi-index in row following column header (GH6893) • Bug in Series.rank and DataFrame.rank that caused small floats (<1e-13) to all receive0 码力 | 1349 页 | 7.67 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.15values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug with DatetimeIndex.asof incorrectly matching partial strings and returning values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug in to_clipboard that would clip long column data (GH8305) • Bug in DataFrame dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations0 码力 | 1579 页 | 9.15 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.15values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug with DatetimeIndex.asof incorrectly matching partial strings and returning values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug in to_clipboard that would clip long column data (GH8305) • Bug in DataFrame dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations0 码力 | 1579 页 | 9.15 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.15.1values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug with DatetimeIndex.asof incorrectly matching partial strings and returning values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug in to_clipboard that would clip long column data (GH8305) • Bug in DataFrame dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations0 码力 | 1557 页 | 9.10 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.15.1values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug with DatetimeIndex.asof incorrectly matching partial strings and returning values needed interpolating (GH7173). • Bug where col_space was ignored in DataFrame.to_string() when header=False (GH8230). • Bug in to_clipboard that would clip long column data (GH8305) • Bug in DataFrame dataframe to HTML it used to return Empty DataFrame. This special case has been removed, instead a header with the column names is returned (GH6062). • Series and Index now internall share more common operations0 码力 | 1557 页 | 9.10 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.19.0Categorical.unique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 Changes to bool passed as header in Parsers . . . . . . . . . . . . . . . . . . . . . . . . . 115 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 Skip row between header and data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 8.9.2 SQL . . . . (GH13360) – as_recarray has been deprecated and will be removed in a future version (GH13373) – skip_footer has been deprecated in favor of skipfooter and will be removed in a future version (GH13349) • top-level0 码力 | 1937 页 | 12.03 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.19.0Categorical.unique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 114 Changes to bool passed as header in Parsers . . . . . . . . . . . . . . . . . . . . . . . . . 115 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 403 Skip row between header and data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 8.9.2 SQL . . . . (GH13360) – as_recarray has been deprecated and will be removed in a future version (GH13373) – skip_footer has been deprecated in favor of skipfooter and will be removed in a future version (GH13349) • top-level0 码力 | 1937 页 | 12.03 MB | 1 年前3
 pandas: powerful Python data analysis toolkit - 0.19.1Categorical.unique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Changes to bool passed as header in Parsers . . . . . . . . . . . . . . . . . . . . . . . . . 116 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Skip row between header and data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407 8.9.2 SQL . . . . (GH13360) – as_recarray has been deprecated and will be removed in a future version (GH13373) – skip_footer has been deprecated in favor of skipfooter and will be removed in a future version (GH13349) • top-level0 码力 | 1943 页 | 12.06 MB | 1 年前3 pandas: powerful Python data analysis toolkit - 0.19.1Categorical.unique . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 115 Changes to bool passed as header in Parsers . . . . . . . . . . . . . . . . . . . . . . . . . 116 Other API Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405 Skip row between header and data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 407 8.9.2 SQL . . . . (GH13360) – as_recarray has been deprecated and will be removed in a future version (GH13373) – skip_footer has been deprecated in favor of skipfooter and will be removed in a future version (GH13349) • top-level0 码力 | 1943 页 | 12.06 MB | 1 年前3
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