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def imshow ( h , axes = None , colorbar = False , ** kwargs ) : kwargs . setdefault ( 'aspect' , 'auto' ) if axes is None : axes = plt . gca ( ) z = np . array ( h . z ( ) ) . T axis_image = axes . imshow ( z , extent = [ h . xedges ( 1 ) , h . xedges ( h . nbins ( 0 ) + 1 ) , h . yedges ( 1 ) , h . yedges ( h . nbins ...
Draw a matplotlib imshow plot from a 2D ROOT histogram .
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def contour ( h , axes = None , zoom = None , label_contour = False , ** kwargs ) : if axes is None : axes = plt . gca ( ) x = np . array ( list ( h . x ( ) ) ) y = np . array ( list ( h . y ( ) ) ) z = np . array ( h . z ( ) ) . T if zoom is not None : from scipy import ndimage if hasattr ( zoom , '__iter__' ) : zoom ...
Draw a matplotlib contour plot from a 2D ROOT histogram .
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def _post_init ( self ) : if not hasattr ( self , '_buffer' ) : self . _buffer = TreeBuffer ( ) self . read_branches_on_demand = False self . _branch_cache = { } self . _current_entry = 0 self . _always_read = [ ] self . userdata = UserData ( ) self . _inited = True
The standard rootpy _post_init method that is used to initialize both new Trees and Trees retrieved from a File .
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def always_read ( self , branches ) : if type ( branches ) not in ( list , tuple ) : raise TypeError ( "branches must be a list or tuple" ) self . _always_read = branches
Always read these branches even when in caching mode . Maybe you have caching enabled and there are branches you want to be updated for each entry even though you never access them directly . This is useful if you are iterating over an input tree and writing to an output tree sharing the same TreeBuffer and you want a ...
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def branch_type ( cls , branch ) : typename = branch . GetClassName ( ) if not typename : leaf = branch . GetListOfLeaves ( ) [ 0 ] typename = leaf . GetTypeName ( ) leaf_count = leaf . GetLeafCount ( ) if leaf_count : length = leaf_count . GetMaximum ( ) else : length = leaf . GetLen ( ) if length > 1 : typename = '{0...
Return the string representation for the type of a branch
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def create_buffer ( self , ignore_unsupported = False ) : bufferdict = OrderedDict ( ) for branch in self . iterbranches ( ) : if not self . GetBranchStatus ( branch . GetName ( ) ) : continue if not BaseTree . branch_is_supported ( branch ) : log . warning ( "ignore unsupported branch `{0}`" . format ( branch . GetNam...
Create this tree s TreeBuffer
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def create_branches ( self , branches ) : if not isinstance ( branches , TreeBuffer ) : branches = TreeBuffer ( branches ) self . set_buffer ( branches , create_branches = True )
Create branches from a TreeBuffer or dict mapping names to type names
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def update_buffer ( self , treebuffer , transfer_objects = False ) : self . _buffer . update ( treebuffer ) if transfer_objects : self . _buffer . set_objects ( treebuffer )
Merge items from a TreeBuffer into this Tree s TreeBuffer
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def set_buffer ( self , treebuffer , branches = None , ignore_branches = None , create_branches = False , visible = True , ignore_missing = False , ignore_duplicates = False , transfer_objects = False ) : if branches is None : branches = treebuffer . keys ( ) if ignore_branches is not None : branches = [ b for b in bra...
Set the Tree buffer
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def glob ( self , patterns , exclude = None ) : if isinstance ( patterns , string_types ) : patterns = [ patterns ] if isinstance ( exclude , string_types ) : exclude = [ exclude ] matches = [ ] for pattern in patterns : matches += fnmatch . filter ( self . iterbranchnames ( ) , pattern ) if exclude is not None : for e...
Return a list of branch names that match pattern . Exclude all matched branch names which also match a pattern in exclude . exclude may be a string or list of strings .
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def CopyTree ( self , selection , * args , ** kwargs ) : return super ( BaseTree , self ) . CopyTree ( str ( selection ) , * args , ** kwargs )
Copy the tree while supporting a rootpy . tree . cut . Cut selection in addition to a simple string .
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def to_array ( self , * args , ** kwargs ) : from root_numpy import tree2array return tree2array ( self , * args , ** kwargs )
Convert this tree into a NumPy structured array
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def color_key ( tkey ) : name = tkey . GetName ( ) classname = tkey . GetClassName ( ) for class_regex , color in _COLOR_MATCHER : if class_regex . match ( classname ) : return colored ( name , color = color ) return name
Function which returns a colorized TKey name given its type
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def cov ( m , y = None , rowvar = 1 , bias = 0 , ddof = None , weights = None , repeat_weights = 0 ) : import numpy as np if ddof is not None and ddof != int ( ddof ) : raise ValueError ( "ddof must be integer" ) X = np . array ( m , ndmin = 2 , dtype = float ) if X . size == 0 : return np . array ( m ) if X . shape [ ...
Estimate a covariance matrix given data .
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def corrcoef ( x , y = None , rowvar = 1 , bias = 0 , ddof = None , weights = None , repeat_weights = 0 ) : import numpy as np c = cov ( x , y , rowvar , bias , ddof , weights , repeat_weights ) if c . size == 0 : return c try : d = np . diag ( c ) except ValueError : return 1 return c / np . sqrt ( np . multiply . out...
Return correlation coefficients .
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def safe ( self , parentheses = True ) : if not self : return "" string = str ( self ) string = string . replace ( "**" , "_pow_" ) string = string . replace ( "*" , "_mul_" ) string = string . replace ( "/" , "_div_" ) string = string . replace ( "==" , "_eq_" ) string = string . replace ( "<=" , "_leq_" ) string = st...
Returns a string representation with special characters replaced by safer characters for use in file names .
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def latex ( self ) : if not self : return "" s = str ( self ) s = s . replace ( "==" , " = " ) s = s . replace ( "<=" , " \leq " ) s = s . replace ( ">=" , " \geq " ) s = s . replace ( "&&" , r" \text{ and } " ) s = s . replace ( "||" , r" \text{ or } " ) return s
Returns a string representation for use in LaTeX
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def replace ( self , name , newname ) : if not re . match ( "[a-zA-Z]\w*" , name ) : return None if not re . match ( "[a-zA-Z]\w*" , newname ) : return None def _replace ( match ) : return match . group ( 0 ) . replace ( match . group ( 'name' ) , newname ) pattern = re . compile ( "(\W|^)(?P<name>" + name + ")(\W|$)" ...
Replace all occurrences of name with newname
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def save_image ( self , image_file ) : self . ensure_pyplot ( ) command = 'plt.gcf().savefig("%s")' % image_file self . process_input_line ( 'bookmark ipy_thisdir' , store_history = False ) self . process_input_line ( 'cd -b ipy_savedir' , store_history = False ) self . process_input_line ( command , store_history = Fa...
Saves the image file to disk .
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def decorate ( self , other = None , ** kwargs ) : if 'color' in kwargs : incompatible = [ ] for othercolor in ( 'linecolor' , 'fillcolor' , 'markercolor' ) : if othercolor in kwargs : incompatible . append ( othercolor ) if incompatible : raise ValueError ( "Setting both the `color` and the `{0}` attribute{1} " "is am...
Apply style options to a Plottable object .
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def getitem ( self , index ) : if index >= getattr ( self . tree , self . size ) : raise IndexError ( index ) if self . __cache_objects and index in self . __cache : return self . __cache [ index ] obj = self . tree_object_cls ( self . tree , self . name , self . prefix , index ) if self . __cache_objects : self . __ca...
direct access without going through self . selection
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def configure_defaults ( ) : log . debug ( "configure_defaults()" ) global initialized initialized = True if use_rootpy_handler : set_error_handler ( python_logging_error_handler ) if os . environ . get ( 'ROOTPY_BATCH' , False ) or IN_NOSETESTS : ROOT . gROOT . SetBatch ( True ) log . debug ( 'ROOT is running in batch...
This function is executed immediately after ROOT s finalSetup
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def rp_module_level_in_stack ( ) : from traceback import extract_stack from rootpy import _ROOTPY_SOURCE_PATH modlevel_files = [ filename for filename , _ , func , _ in extract_stack ( ) if func == "<module>" ] return any ( path . startswith ( _ROOTPY_SOURCE_PATH ) for path in modlevel_files )
Returns true if we re during a rootpy import
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def monitor_deletion ( ) : monitors = { } def set_deleted ( x ) : def _ ( weakref ) : del monitors [ x ] return _ def monitor ( item , name ) : monitors [ name ] = ref ( item , set_deleted ( name ) ) def is_alive ( name ) : return monitors . get ( name , None ) is not None return monitor , is_alive
Function for checking for correct deletion of weakref - able objects .
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def canvases_with ( drawable ) : return [ c for c in ROOT . gROOT . GetListOfCanvases ( ) if drawable in find_all_primitives ( c ) ]
Return a list of all canvases where drawable has been painted .
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def tick_length_pixels ( pad , xaxis , yaxis , xlength , ylength = None ) : if ylength is None : ylength = xlength xaxis . SetTickLength ( xlength / float ( pad . height_pixels ) ) yaxis . SetTickLength ( ylength / float ( pad . width_pixels ) )
Set the axes tick lengths in pixels
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def reset ( self ) : if self . resetable : for i in range ( len ( self ) ) : self [ i ] = self . default
Reset the value to the default
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def minimize ( func , minimizer_type = None , minimizer_algo = None , strategy = None , retry = 0 , scan = False , print_level = None ) : llog = log [ 'minimize' ] min_opts = ROOT . Math . MinimizerOptions if minimizer_type is None : minimizer_type = min_opts . DefaultMinimizerType ( ) if minimizer_algo is None : minim...
Minimize a RooAbsReal function
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def make_string ( obj ) : if inspect . isclass ( obj ) : if issubclass ( obj , Object ) : return obj . _ROOT . __name__ if issubclass ( obj , string_types ) : return 'string' return obj . __name__ if not isinstance ( obj , string_types ) : raise TypeError ( "expected string or class" ) return obj
If obj is a string return that otherwise attempt to figure out the name of a type .
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def generate ( declaration , headers = None , has_iterators = False ) : global NEW_DICTS log . debug ( "requesting dictionary for {0}" . format ( declaration ) ) if headers : if isinstance ( headers , string_types ) : headers = sorted ( headers . split ( ';' ) ) log . debug ( "using the headers {0}" . format ( ', ' . j...
Compile and load the reflection dictionary for a type .
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def ensure_built ( self , headers = None ) : if not self . params : return else : for child in self . params : child . ensure_built ( headers = headers ) if headers is None : headers = self . guess_headers generate ( str ( self ) , headers , has_iterators = self . name in HAS_ITERATORS )
Make sure that a dictionary exists for this type .
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def guess_headers ( self ) : name = self . name . replace ( "*" , "" ) headers = [ ] if name in KNOWN_TYPES : headers . append ( KNOWN_TYPES [ name ] ) elif name in STL : headers . append ( '<{0}>' . format ( name ) ) elif hasattr ( ROOT , name ) and name . startswith ( "T" ) : headers . append ( '<{0}.h>' . format ( n...
Attempt to guess what headers may be required in order to use this type . Returns guess_headers of all children recursively .
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def cls ( self ) : return SmartTemplate ( self . name ) ( ", " . join ( map ( str , self . params ) ) )
Return the class definition for this type
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def from_string ( cls , string ) : cls . TYPE . setParseAction ( cls . make ) try : return cls . TYPE . parseString ( string , parseAll = True ) [ 0 ] except ParseException : log . error ( "Failed to parse '{0}'" . format ( string ) ) raise
Parse string into a CPPType instance
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def callback ( cfunc ) : return C . c_voidp . from_address ( C . cast ( cfunc , C . c_voidp ) . value )
Turn a ctypes CFUNCTYPE instance into a value which can be passed into PyROOT
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def objectproxy_realaddress ( obj ) : voidp = QROOT . TPython . ObjectProxy_AsVoidPtr ( obj ) return C . addressof ( C . c_char . from_buffer ( voidp ) )
Obtain a real address as an integer from an objectproxy .
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def set_style ( style , mpl = False , ** kwargs ) : if mpl : import matplotlib as mpl style_dictionary = { } if isinstance ( style , string_types ) : style_dictionary = get_style ( style , mpl = True , ** kwargs ) log . info ( "using matplotlib style '{0}'" . format ( style ) ) elif isinstance ( style , dict ) : style_...
If mpl is False accept either style name or a TStyle instance . If mpl is True accept either style name or a matplotlib . rcParams - like dictionary
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def cd_previous ( self ) : if self . _prev_dir is None or isinstance ( self . _prev_dir , ROOT . TROOT ) : return False if isinstance ( self . _prev_dir , ROOT . TFile ) : if self . _prev_dir . IsOpen ( ) and self . _prev_dir . IsWritable ( ) : self . _prev_dir . cd ( ) return True return False if not self . _prev_dir ...
cd to the gDirectory before this file was open .
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def Close ( self , * args ) : super ( _DirectoryBase , self ) . Close ( * args ) return self . cd_previous ( )
Like ROOT s Close but reverts to the gDirectory before this file was opened .
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def keys ( self , latest = False ) : if latest : keys = { } for key in self . keys ( ) : name = key . GetName ( ) if name in keys : if key . GetCycle ( ) > keys [ name ] . GetCycle ( ) : keys [ name ] = key else : keys [ name ] = key return keys . values ( ) return [ asrootpy ( key ) for key in self . GetListOfKeys ( )...
Return a list of the keys in this directory .
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def Get ( self , path , rootpy = True , ** kwargs ) : thing = super ( _DirectoryBase , self ) . Get ( path ) if not thing : raise DoesNotExist keepalive ( thing , self ) if rootpy : return asrootpy ( thing , ** kwargs ) return thing
Return the requested object cast as its corresponding subclass in rootpy if one exists and rootpy = True otherwise return the unadulterated TObject .
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def GetKey ( self , path , cycle = 9999 , rootpy = True , ** kwargs ) : key = super ( _DirectoryBase , self ) . GetKey ( path , cycle ) if not key : raise DoesNotExist if rootpy : return asrootpy ( key , ** kwargs ) return key
Override TDirectory s GetKey and also handle accessing keys nested arbitrarily deep in subdirectories .
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def mkdir ( self , path , title = "" , recurse = False ) : head , tail = os . path . split ( os . path . normpath ( path ) ) if tail == "" : raise ValueError ( "invalid directory name: {0}" . format ( path ) ) with preserve_current_directory ( ) : dest = self if recurse : parent_dirs = head . split ( os . path . sep ) ...
Make a new directory . If recurse is True create parent directories as required . Return the newly created TDirectory .
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def rm ( self , path , cycle = ';*' ) : rdir = self with preserve_current_directory ( ) : dirname , objname = os . path . split ( os . path . normpath ( path ) ) if dirname : rdir = rdir . Get ( dirname ) rdir . Delete ( objname + cycle )
Delete an object at path relative to this directory
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def copytree ( self , dest_dir , src = None , newname = None , exclude = None , overwrite = False ) : def copy_object ( obj , dest , name = None ) : if name is None : name = obj . GetName ( ) if not overwrite and name in dest : raise ValueError ( "{0} already exists in {1} and `overwrite=False`" . format ( name , dest ...
Copy this directory or just one contained object into another directory .
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def find ( self , regexp , negate_regexp = False , class_pattern = None , find_fnc = re . search , refresh_cache = False ) : if refresh_cache or not hasattr ( self , 'cache' ) : self . _populate_cache ( ) b = self . cache split_regexp = regexp . split ( '/' ) if split_regexp [ 0 ] == '' : for d in split_regexp : if d i...
yield the full path of the matching regular expression and the match itself
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def start_new_gui_thread ( ) : PyGUIThread = getattr ( ROOT , 'PyGUIThread' , None ) if PyGUIThread is not None : assert not PyGUIThread . isAlive ( ) , "GUI thread already running!" assert _processRootEvents , ( "GUI thread wasn't started when rootwait was imported, " "so it can't be restarted" ) ROOT . keeppolling = ...
Attempt to start a new GUI thread if possible .
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def stop_gui_thread ( ) : PyGUIThread = getattr ( ROOT , 'PyGUIThread' , None ) if PyGUIThread is None or not PyGUIThread . isAlive ( ) : log . debug ( "no existing GUI thread is runnng" ) return False ROOT . keeppolling = 0 try : PyGUIThread . finishSchedule ( ) except AttributeError : log . debug ( "unable to call fi...
Try to stop the GUI thread . If it was running returns True otherwise False .
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def wait_for_zero_canvases ( middle_mouse_close = False ) : if not __ACTIVE : wait_failover ( wait_for_zero_canvases ) return @ dispatcher def count_canvases ( ) : if not get_visible_canvases ( ) : try : ROOT . gSystem . ExitLoop ( ) except AttributeError : pass @ dispatcher def exit_application_loop ( ) : ROOT . gSyst...
Wait for all canvases to be closed or CTRL - c .
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def wait_for_frame ( frame ) : if not frame : return @ dispatcher def close ( ) : ROOT . gSystem . ExitLoop ( ) if not getattr ( frame , "_py_close_dispatcher_attached" , False ) : frame . _py_close_dispatcher_attached = True frame . Connect ( "CloseWindow()" , "TPyDispatcher" , close , "Dispatch()" ) @ dispatcher def ...
wait until a TGMainFrame is closed or ctrl - c
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def wait_for_browser_close ( b ) : if b : if not __ACTIVE : wait_failover ( wait_for_browser_close ) return wait_for_frame ( b . GetBrowserImp ( ) . GetMainFrame ( ) )
Can be used to wait until a TBrowser is closed
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def log_trace ( logger , level = logging . DEBUG , show_enter = True , show_exit = True ) : def wrap ( function ) : l = logger . getChild ( function . __name__ ) . log @ wraps ( function ) def thunk ( * args , ** kwargs ) : global trace_depth trace_depth . value += 1 try : start = time ( ) if show_enter : l ( level , "...
log a statement on function entry and exit
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def log_stack ( logger , level = logging . INFO , limit = None , frame = None ) : if showing_stack . inside : return showing_stack . inside = True try : if frame is None : frame = sys . _getframe ( 1 ) stack = "" . join ( traceback . format_stack ( frame , limit ) ) for line in ( l [ 2 : ] for l in stack . split ( "\n"...
Display the current stack on logger .
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def showdeletion ( self , * objects ) : from . . memory import showdeletion as S for o in objects : S . monitor_object_cleanup ( o )
Record a stack trace at the point when an ROOT TObject is deleted
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def trace ( self , level = logging . DEBUG , show_enter = True , show_exit = True ) : from . import log_trace return log_trace ( self , level , show_enter , show_exit )
Functions decorated with this function show function entry and exit with values defaults to debug log level .
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def frame_unique ( f ) : return f . f_code . co_filename , f . f_code . co_name , f . f_lineno
A tuple representing a value which is unique to a given frame s line of execution
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def show_stack_depth ( self , record , frame ) : logger = self depths = [ - 1 ] msg = record . getMessage ( ) while logger : to_match = getattr ( logger , "show_stack_regexes" , ( ) ) for regex , depth , once , min_level in to_match : if record . levelno < min_level : continue if not regex . match ( record . msg ) : co...
Compute the maximum stack depth to show requested by any hooks returning - 1 if there are none matching or if we ve already emitted one for the line of code referred to .
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def getChild ( self , suffix ) : if suffix is None : return self if self . root is not self : if suffix . startswith ( self . name + "." ) : suffix = suffix [ len ( self . name + "." ) : ] suf_parts = suffix . split ( "." ) if len ( suf_parts ) > 1 and suf_parts [ - 1 ] == suf_parts [ - 2 ] : suffix = "." . join ( suf_...
Taken from CPython 2 . 7 modified to remove duplicate prefix and suffixes
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def method_file_check ( f ) : @ wraps ( f ) def wrapper ( self , * args , ** kwargs ) : curr_dir = ROOT . gDirectory if isinstance ( curr_dir , ROOT . TROOT ) or not curr_dir : raise RuntimeError ( "You must first create a File before calling {0}.{1}" . format ( self . __class__ . __name__ , _get_qualified_name ( f ) )...
A decorator to check that a TFile as been created before f is called . This function can decorate methods .
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def chainable ( f ) : @ wraps ( f ) def wrapper ( self , * args , ** kwargs ) : f ( self , * args , ** kwargs ) return self return wrapper
Decorator which causes a void function to return self
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def snake_case_methods ( cls , debug = False ) : if not CONVERT_SNAKE_CASE : return cls root_base = cls . _ROOT members = inspect . getmembers ( root_base ) names = { } for name , member in members : lower_name = name . lower ( ) if lower_name in names : del names [ lower_name ] else : names [ lower_name ] = None for n...
A class decorator adding snake_case methods that alias capitalized ROOT methods . cls must subclass a ROOT class and define the _ROOT class variable .
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def sync ( lock ) : def sync ( f ) : @ wraps ( f ) def new_function ( * args , ** kwargs ) : lock . acquire ( ) try : return f ( * args , ** kwargs ) finally : lock . release ( ) return new_function return sync
A synchronization decorator
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def as_ufloat ( roorealvar ) : if isinstance ( roorealvar , ( U . AffineScalarFunc , U . Variable ) ) : return roorealvar return U . ufloat ( ( roorealvar . getVal ( ) , roorealvar . getError ( ) ) )
Cast a RooRealVar to an uncertainties . ufloat
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def correlated_values ( param_names , roofitresult ) : pars = roofitresult . floatParsFinal ( ) pars = [ pars [ i ] for i in range ( pars . getSize ( ) ) ] parnames = [ p . GetName ( ) for p in pars ] values = [ ( p . getVal ( ) , p . getError ( ) ) for p in pars ] matrix = asrootpy ( roofitresult . correlationMatrix (...
Return symbolic values from a RooFitResult taking into account covariance
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def checkattr ( metacls , attr , value ) : if not isinstance ( value , ( types . MethodType , types . FunctionType , classmethod , staticmethod , property ) ) : if attr in dir ( type ( 'dummy' , ( object , ) , { } ) ) + [ '__metaclass__' , '__qualname__' ] : return if attr . startswith ( '_' ) : raise SyntaxError ( "Tr...
Only allow class attributes that are instances of rootpy . types . Column ROOT . TObject or ROOT . ObjectProxy
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def prefix ( cls , name ) : attrs = dict ( [ ( name + attr , value ) for attr , value in cls . get_attrs ( ) ] ) return TreeModelMeta ( '_' . join ( [ name , cls . __name__ ] ) , ( TreeModel , ) , attrs )
Create a new TreeModel where class attribute names are prefixed with name
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def get_attrs ( cls ) : ignore = dir ( type ( 'dummy' , ( object , ) , { } ) ) + [ '__metaclass__' ] attrs = [ item for item in inspect . getmembers ( cls ) if item [ 0 ] not in ignore and not isinstance ( item [ 1 ] , ( types . FunctionType , types . MethodType , classmethod , staticmethod , property ) ) ] attrs . sor...
Get all class attributes ordered by definition
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def to_struct ( cls , name = None ) : if name is None : name = cls . __name__ basic_attrs = dict ( [ ( attr_name , value ) for attr_name , value in cls . get_attrs ( ) if isinstance ( value , Column ) ] ) if not basic_attrs : return None src = 'struct {0} {{' . format ( name ) for attr_name , value in basic_attrs . ite...
Convert the TreeModel into a compiled C struct
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def id_to_name ( id ) : name = pdgid_names . get ( id ) if not name : name = repr ( id ) return name
Convert a PDG ID to a printable string .
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def id_to_root_name ( id ) : name = root_names . get ( id ) if not name : name = repr ( id ) return name
Convert a PDG ID to a string with root markup .
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def new_closure ( vals ) : args = ',' . join ( 'x%i' % i for i in range ( len ( vals ) ) ) f = eval ( "lambda %s:lambda:(%s)" % ( args , args ) ) if sys . version_info [ 0 ] >= 3 : return f ( * vals ) . __closure__ return f ( * vals ) . func_closure
Build a new closure
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def _inject_closure_values_fix_closures ( c , injected , ** kwargs ) : code = c . code orig_len = len ( code ) for iback , ( opcode , value ) in enumerate ( reversed ( code ) ) : i = orig_len - iback - 1 if opcode != MAKE_CLOSURE : continue codeobj = code [ i - 1 - OPCODE_OFFSET ] assert codeobj [ 0 ] == byteplay . LOA...
Recursively fix closures
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def _inject_closure_values_fix_code ( c , injected , ** kwargs ) : c . freevars += injected for i , ( opcode , value ) in enumerate ( c . code ) : if opcode == byteplay . LOAD_GLOBAL and value in kwargs : c . code [ i ] = byteplay . LOAD_DEREF , value _inject_closure_values_fix_closures ( c , injected , ** kwargs ) ret...
Fix code objects recursively fixing any closures
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def inject_closure_values ( func , ** kwargs ) : wrapped_by = None if isinstance ( func , property ) : fget , fset , fdel = func . fget , func . fset , func . fdel if fget : fget = fix_func ( fget , ** kwargs ) if fset : fset = fix_func ( fset , ** kwargs ) if fdel : fdel = fix_func ( fdel , ** kwargs ) wrapped_by = ty...
Returns a new function identical to the previous one except that it acts as though global variables named in kwargs have been closed over with the values specified in the kwargs dictionary .
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def axes ( self , ndim = 1 , xlimits = None , ylimits = None , zlimits = None , xbins = 1 , ybins = 1 , zbins = 1 ) : if xlimits is None : xlimits = ( 0 , 1 ) if ylimits is None : ylimits = ( 0 , 1 ) if zlimits is None : zlimits = ( 0 , 1 ) if ndim == 1 : from . hist import Hist hist = Hist ( 1 , xlimits [ 0 ] , xlimit...
Create and return axes on this pad
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def root2hdf5 ( rfile , hfile , rpath = '' , entries = - 1 , userfunc = None , show_progress = False , ignore_exception = False , ** kwargs ) : own_rootfile = False if isinstance ( rfile , string_types ) : rfile = root_open ( rfile ) own_rootfile = True own_h5file = False if isinstance ( hfile , string_types ) : hfile ...
Convert all trees in a ROOT file into tables in an HDF5 file .
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def Reverse ( self , copy = False ) : numPoints = self . GetN ( ) if copy : revGraph = self . Clone ( ) else : revGraph = self X = self . GetX ( ) EXlow = self . GetEXlow ( ) EXhigh = self . GetEXhigh ( ) Y = self . GetY ( ) EYlow = self . GetEYlow ( ) EYhigh = self . GetEYhigh ( ) for i in range ( numPoints ) : index ...
Reverse the order of the points
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def Shift ( self , value , copy = False ) : numPoints = self . GetN ( ) if copy : shiftGraph = self . Clone ( ) else : shiftGraph = self X = self . GetX ( ) EXlow = self . GetEXlow ( ) EXhigh = self . GetEXhigh ( ) Y = self . GetY ( ) EYlow = self . GetEYlow ( ) EYhigh = self . GetEYhigh ( ) for i in range ( numPoints ...
Shift the graph left or right by value
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def Integrate ( self ) : area = 0. X = self . GetX ( ) Y = self . GetY ( ) for i in range ( self . GetN ( ) - 1 ) : area += ( X [ i + 1 ] - X [ i ] ) * ( Y [ i ] + Y [ i + 1 ] ) / 2. return area
Integrate using the trapazoidal method
246,979
def Append ( self , other ) : orig_len = len ( self ) self . Set ( orig_len + len ( other ) ) ipoint = orig_len if hasattr ( self , 'SetPointError' ) : for point in other : self . SetPoint ( ipoint , point . x . value , point . y . value ) self . SetPointError ( ipoint , point . x . error_low , point . x . error_hi , p...
Append points from another graph
246,980
def keepalive ( nurse , * patients ) : if DISABLED : return if hashable ( nurse ) : hashable_patients = [ ] for p in patients : if hashable ( p ) : log . debug ( "Keeping {0} alive for lifetime of {1}" . format ( p , nurse ) ) hashable_patients . append ( p ) else : log . warning ( "Unable to keep unhashable object {0}...
Keep patients alive at least as long as nurse is around using a WeakKeyDictionary .
246,981
def canonify_slice ( s , n ) : if isinstance ( s , ( int , long ) ) : return canonify_slice ( slice ( s , s + 1 , None ) , n ) start = s . start % n if s . start is not None else 0 stop = s . stop % n if s . stop is not None else n step = s . step if s . step is not None else 1 return slice ( start , stop , step )
Convert a slice object into a canonical form to simplify treatment in histogram bin content and edge slicing .
246,982
def bin_to_edge_slice ( s , n ) : s = canonify_slice ( s , n ) start = s . start stop = s . stop if start > stop : _stop = start + 1 start = stop + 1 stop = _stop start = max ( start - 1 , 0 ) step = abs ( s . step ) if stop <= 1 or start >= n - 1 or stop == start + 1 : return slice ( 0 , None , min ( step , n - 2 ) ) ...
Convert a bin slice into a bin edge slice .
246,983
def histogram ( data , * args , ** kwargs ) : from . autobinning import autobinning dim = kwargs . pop ( 'dim' , 1 ) if dim != 1 : raise NotImplementedError if 'binning' in kwargs : args = autobinning ( data , kwargs [ 'binning' ] ) del kwargs [ 'binning' ] histo = Hist ( * args , ** kwargs ) for d in data : histo . Fi...
Create and fill a one - dimensional histogram .
246,984
def overflow ( self ) : indices = self . hist . xyz ( self . idx ) for i in range ( self . hist . GetDimension ( ) ) : if indices [ i ] == 0 or indices [ i ] == self . hist . nbins ( i ) + 1 : return True return False
Returns true if this BinProxy is for an overflow bin
246,985
def xyz ( self , idx ) : nx = self . GetNbinsX ( ) + 2 ny = self . GetNbinsY ( ) + 2 ndim = self . GetDimension ( ) if ndim < 2 : binx = idx % nx biny = 0 binz = 0 elif ndim < 3 : binx = idx % nx biny = ( ( idx - binx ) // nx ) % ny binz = 0 elif ndim < 4 : binx = idx % nx biny = ( ( idx - binx ) // nx ) % ny binz = ( ...
return binx biny binz corresponding to the global bin number
246,986
def nbins ( self , axis = 0 , overflow = False ) : if axis == 0 : nbins = self . GetNbinsX ( ) elif axis == 1 : nbins = self . GetNbinsY ( ) elif axis == 2 : nbins = self . GetNbinsZ ( ) else : raise ValueError ( "axis must be 0, 1, or 2" ) if overflow : nbins += 2 return nbins
Get the number of bins along an axis
246,987
def bins_range ( self , axis = 0 , overflow = False ) : nbins = self . nbins ( axis = axis , overflow = False ) if overflow : start = 0 end_offset = 2 else : start = 1 end_offset = 1 return range ( start , nbins + end_offset )
Return a range of bin indices for iterating along an axis
246,988
def uniform_binned ( self , name = None ) : if self . GetDimension ( ) == 1 : new_hist = Hist ( self . GetNbinsX ( ) , 0 , self . GetNbinsX ( ) , name = name , type = self . TYPE ) elif self . GetDimension ( ) == 2 : new_hist = Hist2D ( self . GetNbinsX ( ) , 0 , self . GetNbinsX ( ) , self . GetNbinsY ( ) , 0 , self ....
Return a new histogram with constant width bins along all axes by using the bin indices as the bin edges of the new histogram .
246,989
def underflow ( self , axis = 0 ) : if axis not in range ( 3 ) : raise ValueError ( "axis must be 0, 1, or 2" ) if self . DIM == 1 : return self . GetBinContent ( 0 ) elif self . DIM == 2 : def idx ( i ) : arg = [ i ] arg . insert ( axis , 0 ) return arg return [ self . GetBinContent ( * idx ( i ) ) for i in self . bin...
Return the underflow for the given axis .
246,990
def lowerbound ( self , axis = 0 ) : if not 0 <= axis < self . GetDimension ( ) : raise ValueError ( "axis must be a non-negative integer less than " "the dimensionality of the histogram" ) if axis == 0 : return self . xedges ( 1 ) if axis == 1 : return self . yedges ( 1 ) if axis == 2 : return self . zedges ( 1 ) rais...
Get the lower bound of the binning along an axis
246,991
def bounds ( self , axis = 0 ) : if not 0 <= axis < self . GetDimension ( ) : raise ValueError ( "axis must be a non-negative integer less than " "the dimensionality of the histogram" ) if axis == 0 : return self . xedges ( 1 ) , self . xedges ( - 2 ) if axis == 1 : return self . yedges ( 1 ) , self . yedges ( - 2 ) if...
Get the lower and upper bounds of the binning along an axis
246,992
def check_compatibility ( self , other , check_edges = False , precision = 1E-7 ) : if self . GetDimension ( ) != other . GetDimension ( ) : raise TypeError ( "histogram dimensionalities do not match" ) if len ( self ) != len ( other ) : raise ValueError ( "histogram sizes do not match" ) for axis in range ( self . Get...
Test whether two histograms are considered compatible by the number of dimensions number of bins along each axis and optionally the bin edges .
246,993
def fill_array ( self , array , weights = None ) : try : try : from root_numpy import fill_hist as fill_func except ImportError : from root_numpy import fill_array as fill_func except ImportError : log . critical ( "root_numpy is needed for Hist*.fill_array. " "Is it installed and importable?" ) raise fill_func ( self ...
Fill this histogram with a NumPy array
246,994
def fill_view ( self , view ) : other = view . hist _other_x_center = other . axis ( 0 ) . GetBinCenter _other_y_center = other . axis ( 1 ) . GetBinCenter _other_z_center = other . axis ( 2 ) . GetBinCenter _other_get = other . GetBinContent _other_get_bin = super ( _HistBase , other ) . GetBin other_sum_w2 = other . ...
Fill this histogram from a view of another histogram
246,995
def get_sum_w2 ( self , ix , iy = 0 , iz = 0 ) : if self . GetSumw2N ( ) == 0 : raise RuntimeError ( "Attempting to access Sumw2 in histogram " "where weights were not stored" ) xl = self . nbins ( axis = 0 , overflow = True ) yl = self . nbins ( axis = 1 , overflow = True ) idx = xl * yl * iz + xl * iy + ix if not 0 <...
Obtain the true number of entries in the bin weighted by w^2
246,996
def set_sum_w2 ( self , w , ix , iy = 0 , iz = 0 ) : if self . GetSumw2N ( ) == 0 : raise RuntimeError ( "Attempting to access Sumw2 in histogram " "where weights were not stored" ) xl = self . nbins ( axis = 0 , overflow = True ) yl = self . nbins ( axis = 1 , overflow = True ) idx = xl * yl * iz + xl * iy + ix if not...
Sets the true number of entries in the bin weighted by w^2
246,997
def rebinned ( self , bins , axis = 0 ) : ndim = self . GetDimension ( ) if axis >= ndim : raise ValueError ( "axis must be less than the dimensionality of the histogram" ) if isinstance ( bins , int ) : _bins = [ 1 ] * ndim try : _bins [ axis ] = bins except IndexError : raise ValueError ( "axis must be 0, 1, or 2" ) ...
Return a new rebinned histogram
246,998
def smoothed ( self , iterations = 1 ) : copy = self . Clone ( shallow = True ) copy . Smooth ( iterations ) return copy
Return a smoothed copy of this histogram
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def empty_clone ( self , binning = None , axis = 0 , type = None , ** kwargs ) : ndim = self . GetDimension ( ) if binning is False and ndim == 1 : raise ValueError ( "cannot remove the x-axis of a 1D histogram" ) args = [ ] for iaxis in range ( ndim ) : if iaxis == axis : if binning is False : continue elif binning is...
Return a new empty histogram . The binning may be modified along one axis by specifying the binning and axis arguments . If binning is False then the corresponding axis is dropped from the returned histogram .