List Of Pandas Options For Method Set_option
I couldn't find a list of options for pandas.set_option(). Does anyone know if such a list exists? The best I could find is this page : http://pandas.pydata.org/pandas-docs/dev/wh
Solution 1:
Call describe_option the link here also shows other ways of using this function:
In [37]:
pd.describe_option()
display.chop_threshold: [default: None] [currently: None]
: float or None
ifsetto a float value, all float values smaller then the given threshold
will be displayed as exactly 0by repr and friends.
display.colheader_justify: [default: right] [currently: right]
: 'left'/'right'
Controls the justification of column headers. used by DataFrameFormatter.
display.column_space: [default: 12] [currently: 12]No description available.
display.date_dayfirst: [default: False] [currently: False]
: booleanWhenTrue, prints and parses dates with the day first, eg 20/01/2005
display.date_yearfirst: [default: False] [currently: False]
: booleanWhenTrue, prints and parses dates with the year first, eg 2005/01/20
display.encoding: [default: UTF-8] [currently: UTF-8]
: str/unicode
Defaults to the detected encoding of the console.
Specifies the encoding to be used for strings returned by to_string,
these are generally strings meant to be displayed on the console.
display.expand_frame_repr: [default: True] [currently: True]
: boolean
Whether to print out the full DataFrame repr for wide DataFrames
across multiple lines, `max_columns` is still respected, but the output will
wrap-around across multiple "pages"if it's width exceeds `display.width`.
display.float_format: [default: None] [currently: <built-in method format of str object at 0x0000000008899AA8>]
: callable
The callable should accept a floating point number andreturn
a stringwith the desired format of the number. This is used
in some places like SeriesFormatter.
See core.format.EngFormatter for an example.
display.height: [default: 60] [currently: 60]
: int
Deprecated.
(Deprecated, use `display.height` instead.)
display.line_width: [default: 80] [currently: 80]
: int
Deprecated.
(Deprecated, use `display.width` instead.)
display.max_columns: [default: 20] [currently: 20]
: int
max_rows and max_columns are used in __repr__() methods to decide if
to_string() or info() is used to render an objectto a string. Incase
python/IPython is running in a terminal this can be setto0and pandas
will correctly auto-detect the width the terminal and swap to a smaller
format incase all columns would not fit vertically. The IPython notebook,
IPython qtconsole, or IDLE donot run in a terminal and hence it isnot
possible todo correct auto-detection.
'None' value means unlimited.
display.max_colwidth: [default: 50] [currently: 50]
: int
The maximum width in characters of a column in the repr of
a pandas data structure. When the column overflows, a "..."
placeholder is embedded in the output.
display.max_info_columns: [default: 100] [currently: 100]
: int
max_info_columns is used in DataFrame.info method to decide if
per column information will be printed.
display.max_info_rows: [default: 1690785] [currently: 1690785]
: int or None
max_info_rows is the maximum number of rows for which a frame will
perform a null check on its columns when repr'ing To a console.
The defaultis1,000,000 rows. So, if a DataFrame has more
1,000,000 rows there will be no null check performed on the
columns and thus the representation will take much less time to
display in an interactive session. A value of None means always
perform a null check when repr'ing.
display.max_rows: [default: 60] [currently: 60]
: int
This sets the maximum number of rows pandas should output when printing
out various output. For example, this value determines whether the repr()
for a dataframe prints out fully or just a summary repr.
'None' value means unlimited.
display.max_seq_items: [default: None] [currently: None]
: int or None
when pretty-printing a long sequence, no more then `max_seq_items`
will be printed. If items are ommitted, they will be denoted by the addition
of"..."to the resulting string.
Ifsetto None, the number of items to be printed is unlimited.
display.mpl_style: [default: None] [currently: None]
: bool
Setting this to'default' will modify the rcParams used by matplotlibto give plots a more pleasing visual style bydefault.
Setting this to None/False restores the values to their initial value.
display.multi_sparse: [default: True] [currently: True]
: boolean"sparsify" MultiIndex display (don't display repeated
elements in outer levels within groups)
display.notebook_repr_html: [default: True] [currently: False]
: booleanWhenTrue, IPython notebook will use html representation for
pandas objects (if it is available).
display.pprint_nest_depth: [default: 3] [currently: 3]
: int
Controls the number of nested levels to process when pretty-printing
display.precision: [default: 7] [currently: 7]
: int
Floating point output precision (number of significant digits). This is
only a suggestion
display.width: [default: 80] [currently: 80]
: int
Width of the display in characters. Incase python/IPython is running in
a terminal this can be setto None and pandas will correctly auto-detect the
width.
Note that the IPython notebook, IPython qtconsole, or IDLE donot run in a
terminal and hence it isnot possible to correctly detect the width.
mode.sim_interactive: [default: False] [currently: False]
: boolean
Whether to simulate interactive mode for purposes of testing
mode.use_inf_as_null: [default: False] [currently: False]
: booleanTrue means treat None, NaN, INF, -INF as null (old way),
False means None and NaN are null, but INF, -INF are not null
(new way).
Solution 2:
This page now provides what you were looking for.
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