Update: Pandas ab 0.23.4
Dies ist nicht erforderlich. Pandas erkennt die Größe Ihres Terminalfensters automatisch, wenn Sie pd.options.display.width = 0 . (Für ältere Versionen siehe unten.)
pandas.set_printoptions(...) ist veraltet. Verwenden Sie stattdessen pandas.set_option(optname, val) , oder gleichwertig pd.options.<opt.hierarchical.name> = val . Wie:
import pandas as pd
pd.set_option('display.max_rows', 500)
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
Hier ist die Hilfe für set_option :
set\_option(pat,value) - Sets the value of the specified option
Available options:
display.\[chop\_threshold, colheader\_justify, column\_space, date\_dayfirst,
date\_yearfirst, encoding, expand\_frame\_repr, float\_format, height,
line\_width, max\_columns, max\_colwidth, max\_info\_columns, max\_info\_rows,
max\_rows, max\_seq\_items, mpl\_style, multi\_sparse, notebook\_repr\_html,
pprint\_nest\_depth, precision, width\]
mode.\[sim\_interactive, use\_inf\_as\_null\]
Parameters
----------
pat - str/regexp which should match a single option.
Note: partial matches are supported for convenience, but unless you use the
full option name (e.g., \*x.y.z.option\_name\*), your code may break in future
versions if new options with similar names are introduced.
value - new value of option.
Returns
-------
None
Raises
------
KeyError if no such option exists
display.chop\_threshold: \[default: None\] \[currently: None\]
: float or None
if set to a float value, all float values smaller then the given threshold
will be displayed as exactly 0 by 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: \[default: False\] \[currently: False\]
: boolean
When True, prints and parses dates with the day first, eg 20/01/2005
display.date\_yearfirst: \[default: False\] \[currently: False\]
: boolean
When True, prints and parses dates with the year first, e.g., 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: \[default: None\] \[currently: None\]
: callable
The callable should accept a floating point number and return
a string with the desired format of the number. This is used
in some places like SeriesFormatter.
See core.format.EngFormatter for an example.
display.height: \[default: 60\] \[currently: 1000\]
: int
Deprecated.
(Deprecated, use \`display.height\` instead.)
display.line\_width: \[default: 80\] \[currently: 1000\]
: int
Deprecated.
(Deprecated, use \`display.width\` instead.)
display.max\_columns: \[default: 20\] \[currently: 500\]
: int
max\_rows and max\_columns are used in \_\_repr\_\_() methods to decide if
to\_string() or info() is used to render an object to a string. In case
python/IPython is running in a terminal this can be set to 0 and Pandas
will correctly auto-detect the width the terminal and swap to a smaller
format in case all columns would not fit vertically. The IPython notebook,
IPython qtconsole, or IDLE do not run in a terminal and hence it is not
possible to do 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 default is 1,000,000 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: \[default: 60\] \[currently: 500\]
: 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.
If set to 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 matplotlib
to give plots a more pleasing visual style by default.
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: \[default: True\] \[currently: True\]
: boolean
When True, 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: \[default: 80\] \[currently: 1000\]
: int
Width of the display in characters. In case python/IPython is running in
a terminal this can be set to None and Pandas will correctly auto-detect the
width.
Note that the IPython notebook, IPython qtconsole, or IDLE do not run in a
terminal and hence it is not 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: \[default: False\] \[currently: False\]
: boolean
True 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).
Call def: pd.set\_option(self, \*args, \*\*kwds)
Informationen zu älteren Versionen. Vieles davon ist inzwischen veraltet.
Wie @bmu erwähnt Da Pandas (standardmäßig) die Größe des Anzeigebereichs automatisch erkennt, wird eine zusammenfassende Ansicht verwendet, wenn eine Objektdarstellung nicht auf die Anzeige passt. Sie haben erwähnt, dass Sie die Größe des IDLE-Fensters geändert haben - ohne Erfolg. Wenn Sie das tun print df.describe().to_string() Passt er auf das IDLE-Fenster?
Die Klemmengröße wird bestimmt durch pandas.util.terminal.get_terminal_size() (veraltet und entfernt), gibt dies ein Tupel zurück, das die (width, height) der Anzeige. Stimmt die Ausgabe mit der Größe Ihres IDLE-Fensters überein? Es könnte ein Problem geben (das gab es früher, wenn ein Terminal in Emacs lief).
Beachten Sie, dass es möglich ist, die automatische Erkennung zu umgehen, pandas.set_printoptions(max_rows=200, max_columns=10) wechselt nie in die Zusammenfassungsansicht, wenn die Anzahl der Zeilen und Spalten die angegebenen Grenzen nicht überschreitet.
Die Option 'max_colwidth' hilft dabei, jede Spalte in ungekürzter Form zu sehen.
![TruncatedColumnDisplay]()
