python-igraph API reference

List of all classes, functions and methods in python-igraph

class documentation

class Histogram:

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Generic histogram class for real numbers

Example:

>>> h = Histogram(5)     # Initializing, bin width = 5
>>> h << [2,3,2,7,8,5,5,0,7,9]     # Adding more items
>>> print(h)
N = 10, mean +- sd: 4.8000 +- 2.9740
[ 0,  5): **** (4)
[ 5, 10): ****** (6)
Method __init__ Initializes the histogram with the given data set.
Method __plot__ Plotting support
Method __str__ Undocumented
Method add Adds a single number to the histogram.
Method add​_many Adds a single number or the elements of an iterable to the histogram.
Method bins Generator returning the bins of the histogram in increasing order
Method clear Clears the collected data
Method to​_string Returns the string representation of the histogram.
Property mean Returns the mean of the elements in the histogram
Property n Returns the number of elements in the histogram
Property sd Returns the standard deviation of the elements in the histogram
Property var Returns the variance of the elements in the histogram
Method _get​_bin Returns the bin index corresponding to the given number.
Instance Variable _bin​_width Undocumented
Instance Variable _bins Undocumented
Instance Variable _max Undocumented
Instance Variable _min Undocumented
Instance Variable _running​_mean Undocumented
def __init__(self, bin_width=1, data=None):
Initializes the histogram with the given data set.
Parameters
bin​_widththe bin width of the histogram.
datathe data set to be used. Must contain real numbers.
def __plot__(self, context, bbox, _, **kwds):
Plotting support
def __str__(self):

Undocumented

def add(self, num, repeat=1):
Adds a single number to the histogram.
Parameters
numthe number to be added
repeatnumber of repeated additions
def add_many(self, data):
Adds a single number or the elements of an iterable to the histogram.
Parameters
datathe data to be added
def bins(self):
Generator returning the bins of the histogram in increasing order
Returns
a tuple with the following elements: left bound, right bound, number of elements in the bin
def clear(self):
Clears the collected data
def to_string(self, max_width=78, show_bars=True, show_counts=True):
Returns the string representation of the histogram.
Parameters
max​_widththe maximal width of each line of the string This value may not be obeyed if it is too small.
show​_barsspecify whether the histogram bars should be shown
show​_countsspecify whether the histogram counts should be shown. If both show_bars and show_counts are False, only a general descriptive statistics (number of elements, mean and standard deviation) is shown.
@property
mean =
Returns the mean of the elements in the histogram
@property
n =
Returns the number of elements in the histogram
@property
sd =
Returns the standard deviation of the elements in the histogram
@property
var =
Returns the variance of the elements in the histogram
def _get_bin(self, num, create=False):
Returns the bin index corresponding to the given number.
Parameters
numthe number for which the bin is being sought
createwhether to create a new bin if no bin exists yet.
Returns
the index of the bin or None if no bin exists yet and {create} is False.
_bin_width =

Undocumented

_bins: list =

Undocumented

_max =

Undocumented

_min =

Undocumented

_running_mean =

Undocumented