of each line can be changed via ‘line_width’ (80 by default): 1.4. v0.10.0 (December 17, 2012) 33 pandas: powerful Python data analysis toolkit, Release 0.12.0 In [39]: pd.set_option(’line_width’, 40) the necessary dependencies for installation of lxml. This will prevent further headaches down the line. Note: Without the optional dependencies, many useful features will not work. Hence, it is highly following the directions linked to above. Once configured property, run the following on the command line: python setup.py build --compiler=mingw32 python setup.py install Note that you will not be able

names are passed the behavior is identical to header=0 and column names are inferred from the first line of the file, if column names are passed explicitly then the behavior is identical to header=None. commented lines and empty lines if skip_blank_lines=True, so header=0 denotes the first line of data rather than the first line of the file. names [array-like, default None] List of column names to use. If file first column as the index, e.g. when you have a malformed file with delimiters at the end of each line. usecols [list-like or callable, default None] Return a subset of the columns. If list-like, all

In [41]: dfq.to_hdf(path,’dfq’,format=’table’,data_columns=True) Use boolean expressions, with in-line function evaluation. In [42]: read_hdf(path,’dfq’, ....: where="index>Timestamp(’20130104’) & columns=[’A’ 341265 1.844536 [5 rows x 16 columns] The width of each line can be changed via ‘line_width’ (80 by default): In [39]: pd.set_option(’line_width’, 40) In [40]: wide_frame Out[40]: 0 1 2 \ 0 2.520045 distributions will have xclip and/or xsel immediately available for installation. • Google bq Command Line Tool * Needed for gbq • One of the following combinations of libraries is needed to use the top-level

plot(legend=’reverse’) will now reverse the order of legend labels for most plot kinds. (GH6014) • Line plot and area plot can be stacked by stacked=True (GH6656) • Following keywords are now acceptable values (0.0, 1.0, 2.0 ...). This is intended to make bar plot be located on the same coodinates as line plot. However, bar plot may differs unexpectedly when you manually adjust the bar location or drawing None in colspec like regular python slices. It now reads from the beginning or until the end of the line when colspec contains a None (previously raised a TypeError) • Bug in cache coherence with chained

transform when transforming with a passed non-sorted key (GH8046, GH8430) • Bug in repeated timeseries line and area plot may result in ValueError or incorrect kind (GH7733) • Bug in inference in a MultiIndex when producing multiple axes (GH7528, GH5517). • Bug in read_csv where line comments were not handled correctly given a custom line terminator or delim_whitespace=True (GH8122). • Bug in read_html where standard error of the mean. – Support for dateutil timezones (see docs). – Support for ignoring full line comments in the read_csv() text parser. – New documentation section on Options and Settings. – Lots

transform when transforming with a passed non-sorted key (GH8046, GH8430) • Bug in repeated timeseries line and area plot may result in ValueError or incorrect kind (GH7733) • Bug in inference in a MultiIndex when producing multiple axes (GH7528, GH5517). • Bug in read_csv where line comments were not handled correctly given a custom line terminator or delim_whitespace=True (GH8122). • Bug in read_html where standard error of the mean. – Support for dateutil timezones (see docs). – Support for ignoring full line comments in the read_csv() text parser. – New documentation section on Options and Settings. – Lots

tab-completion: In [12]: df.plot. df.plot.area df.plot.barh df.plot.density df.plot.hist df.plot.line df.plot.scatter df.plot.bar df.plot.box df.plot.hexbin df.plot.kde df.plot.pie Each method signature (October 9, 2015) 21 pandas: powerful Python data analysis toolkit, Release 0.17.0 Other API Changes • Line and kde plot with subplots=True now uses default colors, not all black. Specify color=’k’ to draw when using a converter which generates a uint8 type (GH9266) • Bug causes memory leak in time-series line and area plot (GH9003) • Bug when setting a Panel sliced along the major or minor axes when the right-hand

Lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1004 24.1.6.1 Ignoring line comments and empty lines . . . . . . . . . . . . . . . . . . . . . . . 1004 24.1.6.2 Comments . Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1033 24.2.4 Line delimited json . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1033 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1408 34.3.16.8 pandas.Series.plot.line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1409 34.3.16.9 pandas.Series.plot

Lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1000 24.1.6.1 Ignoring line comments and empty lines . . . . . . . . . . . . . . . . . . . . . . . 1000 24.1.6.2 Comments . Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1028 24.2.4 Line delimited json . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1029 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1389 34.3.16.8 pandas.Series.plot.line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1389 34.3.16.9 pandas.Series.plot

and Empty Lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906 Ignoring line comments and empty lines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 907 Comments . Normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 933 25.2.4 Line delimited json . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 934 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1289 pandas.Series.plot.line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1289 pandas.Series.plot