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####
#### MIT License
####
#### ParaMonte: plain powerful parallel Monte Carlo library.
####
#### Copyright (C) 2012-present, The Computational Data Science Lab
####
#### This file is part of the ParaMonte library.
####
#### Permission is hereby granted, free of charge, to any person obtaining a
#### copy of this software and associated documentation files (the "Software"),
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#### the rights to use, copy, modify, merge, publish, distribute, sublicense,
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#### The above copyright notice and this permission notice shall be
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#### DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
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#### ACKNOWLEDGMENT
####
#### ParaMonte is an honor-ware and its currency is acknowledgment and citations.
#### As per the ParaMonte library license agreement terms, if you use any parts of
#### this library for any purposes, kindly acknowledge the use of ParaMonte in your
#### work (education/research/industry/development/...) by citing the ParaMonte
#### library as described on this page:
####
#### https://github.com/cdslaborg/paramonte/blob/main/ACKNOWLEDGMENT.md
####
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import typing as tp
import weakref as wref
import _paramonte as pm
import _pmutils as pmutils
from paramonte.vis._BasePlot import BasePlot
Struct = pmutils.Struct
newline = pmutils.newline
####################################################################################################################################
#### HeatMapPlot class
####################################################################################################################################
[docs]class HeatMapPlot(BasePlot):
"""
This is the HeatMapPlot class for generating instances of
heatmap figures based on the seaborn library's ``heatmap()``.
**Usage**
First generate an object of this class by optionally
passing the following parameters described below.
Then call the ``make()`` method.
**Parameters**
plotType
A string indicating the name of the plot to be constructed.
dataFrame (optional)
A Pandas dataFrame whose data will be plotted.
methodName (optional)
The name of the ParaMonte sample requesting the BasePlot.
reportEnabled (optional)
A boolean whose value indicates whether guidelines
should be printed in the standard output.
resetPlot (optional)
A function that resets the properties of the plot as desired
from outside. If provided, a pointer to this function will be
saved for future internal usage.
**Attributes**
columns
An attribute that determines the columns of dataFrame
to be visualized. It can have three forms:
1. A list of column indices in dataFrame.
2. A list of column names in dataFrame.columns.
3. A ``range(start,stop,step)`` of column indices.
Examples:
1. ``xcolumns = [0,1,4,3]``
2. ``xcolumns = ["SampleLogFunc","SampleVariable1"]``
3. ``xcolumns = range(17,7,-2)``
The default behavior includes all columns of the dataFrame.
rows
An attribute that determines the rows of dataFrame to be
visualized. It can be either:
1. A ``range(start,stop,step)``, or,
2. A list of row indices in dataFrame.index.
Examples:
1. ``rows = range(17,7,-2)``
2. ``rows = [i for i in range(7,17)]``
The default behavior includes all rows of the dataFrame.
heatmap
A structure with one attribute:
kws
A structure whose components are directly passed as
keyword arguments to the ``heatmap()`` function of
the seaborn library.
Example usage:
.. code-block:: python
heatmap.square = True
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
annotPrecision
optional integer which determines the precision with which
the output numbers corresponding to each pixel are written
to the heatmap when annotation is requested via
``heatmap.kws.annot = True``. The default is 2, meaning
that only two digits after the decimal are considered.
xticklabels
A structure with one attribute:
kws
A structure whose components are directly passed as
keyword arguments to the ``set_xticklabels()``
function of the matplotlib library.
Example usage:
.. code-block:: python
xticklabels.verticalalignment = "right"
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
yticklabels
A structure with one attribute:
kws
A structure whose components are directly passed as
keyword arguments to the ``set_yticklabels()``
function of the matplotlib library.
Example usage:
.. code-block:: python
yticklabels.verticalalignment = "right"
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
set
A structure with two attributes:
enabled
A boolean indicating whether a call to the ``set()``
function of the seaborn library should be made or not.
kws
A structure whose components are directly passed as
keyword arguments to the ``set()`` function.
Example usage:
.. code-block:: python
set.kws.style = "darkgrid"
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
axes (available only in 1D and 2D plots)
A structure with one attribute:
kws
A structure whose components are directly passed as
keyword arguments to the ``gca()`` function of the
matplotlib library.
Example usage:
.. code-block:: python
axes.kws.facecolor = "w"
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
figure
A structure with two attributes:
enabled
A boolean indicating whether a call to the ``figure()``
function of the matplotlib library should be made or not.
If a call is made, a new figure will be generated.
Otherwise, the current active figure will be used.
kws
A structure whose components are directly passed as
keyword arguments to the ``figure()`` function.
Example usage:
.. code-block:: python
figure.kws.facecolor = "w"
**NOTE**
If a desired property is missing among the ``kws``
attributes, simply add the field and its value to
the component.
currentFig
A structure whose attributes are the outputs of various plotting
tools used to make the current figure. These include the handle
to the current figure, the handle to the current axes in the plot,
the handle to the colorbar (if any exists), and other Python
plotting tools used to make to generate the figure.
**Returns**
An object of class ``HeatMapPlot``.
---------------------------------------------------------------------------
"""
################################################################################################################################
#### __init__
################################################################################################################################
def __init__( self
, plotType # : str
, dataFrame = None # : tp.Optional[ pd.DataFrame ] = None
, methodName = "ParaMonte" # : tp.Optional[ str ] = "ParaMonte"
, reportEnabled = True # : tp.Optional[ bool ] = True
, resetPlot = None
):
super().__init__( plotType = plotType
, dataFrame = dataFrame
, methodName = methodName
, reportEnabled = reportEnabled
, resetPlot = resetPlot
)
self._reset()
if resetPlot is None: self._resetPlot = self._reset
self._progress.note()
################################################################################################################################
#### _reset
################################################################################################################################
[docs] def _reset(self):
super()._reset()
self.heatmap = Struct()
self.heatmap.enabled = True
self.heatmap.kws = Struct()
self.xticklabels = Struct()
self.xticklabels.kws = Struct()
self.yticklabels = Struct()
self.yticklabels.kws = Struct()
self.columns = ""
self._colorStart = 20
self._colorCount = 200
self._colorEnd = 220
self.annotPrecision = 2
self._isdryrun = True
self.make()
self._isdryrun = False
################################################################################################################################
#### __call__
################################################################################################################################
[docs] def __call__( self
, reself : tp.Optional[ bool ] = False
, **kwargs
):
"""
Call the ``make()`` method of the
current instance of the class.
**Parameters**
Any arguments that can be passed to the
``make()`` method of the plot object.
**Returns**
Any return value from the ``make()`` method of the plot object.
"""
return self.make(reself, **kwargs)
################################################################################################################################
#### make
################################################################################################################################
[docs] def make( self
, reself : tp.Optional[ bool ] = False
, **kwargs
):
"""
Generate a heatmap plot from the selected
columns of the object's dataframe.
**Parameters**
reself
A logical variable. If ``True``, an instance of the
object will be returned upon exit to the calling
routine. The default value is ``False``.
**Returns**
the object self if ``reself = True`` otherwise, ``None``.
However, this method causes side-effects by manipulating
the existing attributes of the object.
"""
for key in kwargs.keys():
if hasattr(self,key):
setattr(self, key, kwargs[key])
elif key=="dataFrame":
setattr( self, "_dfref", wref.ref(kwargs[key]) )
else:
raise Exception ( newline
+ "Unrecognized input '"+key+"' class attribute detected." + newline
+ self._getDocString()
)
# set what to plot
############################################################################################################################
#### xticklabels / yticklabels properties
############################################################################################################################
if isinstance(self.xticklabels.kws,Struct):
if "horizontalalignment" not in vars(self.xticklabels.kws).keys(): self.xticklabels.kws.horizontalalignment = "right"
if "rotation" not in vars(self.xticklabels.kws).keys(): self.xticklabels.kws.rotation = 45
else:
raise Exception ( newline
+ "The xticklabels.kws component of the current HeatMapPlot object must" + newline
+ "be an object of class Struct(), essentially a structure with components" + newline
+ "whose names are the input arguments to the set_xticklabels() method of the" + newline
+ "Axes class of the matplotlib library." + newline
+ self._getDocString()
)
if isinstance(self.yticklabels.kws,Struct):
if "horizontalalignment" not in vars(self.yticklabels.kws).keys(): self.yticklabels.kws.horizontalalignment = "right"
if "rotation" not in vars(self.yticklabels.kws).keys(): self.yticklabels.kws.rotation = 45
else:
raise Exception ( newline
+ "The yticklabels.kws component of the current HeatMapPlot object must" + newline
+ "be an object of class Struct(), essentially a structure with components" + newline
+ "whose names are the input arguments to the set_yticklabels() method of the" + newline
+ "Axes class of the matplotlib library." + newline
+ self._getDocString()
)
############################################################################################################################
#### heatmap properties
############################################################################################################################
if isinstance(self.heatmap.kws,Struct):
if "square" not in vars(self.heatmap.kws).keys(): self.heatmap.kws.square = True
if "cmap" not in vars(self.heatmap.kws).keys():
try:
import seaborn as sns
self.heatmap.kws.cmap = sns.diverging_palette ( h_neg = self._colorStart
, h_pos = self._colorEnd
, n = self._colorCount
)
except:
if self._isdryrun:
self.heatmap.kws.cmap = None
else:
raise Exception ( newline
+ "Failed to set the heatmap.kws.cmap component of the current HeatMapPlot object." + newline
+ "This component depends on the external seaborn Python library. Therefore, it is " + newline
+ "likely that the seaborn library or one of the required components of it, such as " + newline
+ "the matplotlib Python library is not properly installed on your system. Please " + newline
+ "fix this issue, otherwise, the visualization tools of the ParaMonte library " + newline
+ "will not work as expected. You can install the seaborn library by typing " + newline
+ "the following commands in your Anaconda3 or Bash command prompt: " + newline
+ newline
+ " pip install --user --upgrade matplotlib"
+ " pip install --user --upgrade seaborn"
+ newline
+ self._getDocString()
)
else:
raise Exception ( newline
+ "The heatmap.kws component of the current HeatMapPlot object must" + newline
+ "be an object of class Struct(), essentially a structure with components" + newline
+ "whose names are the input arguments to the heatmap() function of the" + newline
+ "seaborn library." + newline
+ self._getDocString()
)
############################################################################################################################
#### figure properties
############################################################################################################################
if self.figure.enabled:
if isinstance(self.figure.kws, Struct):
if "dpi" not in vars(self.figure.kws).keys(): self.figure.kws.dpi = 150
if "facecolor" not in vars(self.figure.kws).keys(): self.figure.kws.facecolor = "w"
if "edgecolor" not in vars(self.figure.kws).keys(): self.figure.kws.edgecolor = "w"
else:
raise Exception ( newline
+ "The figure.kws component of the current DensityPlot object must" + newline
+ "be an object of class Struct(), essentially a structure with components" + newline
+ "whose names are the input arguments to the figure() function of the" + newline
+ "matplotlib library." + newline
+ self._getDocString()
)
############################################################################################################################
############################################################################################################################
if self._isdryrun: return
############################################################################################################################
############################################################################################################################
import seaborn as sns
import matplotlib.pyplot as plt
plt.ion() # turn on the interactive mode. Used to detach the figure from the command line in ipython
############################################################################################################################
#### generate figure and axes if needed
############################################################################################################################
self._constructBasePlot()
############################################################################################################################
#### check data type
############################################################################################################################
self._checkDataType()
############################################################################################################################
#### check rows presence. This must be checked here, because it depends on the integrity of the in input dataFrame.
############################################################################################################################
if self.rows is None: self.rows = range(len(self._dfref().index))
rownames = self._dfref().index[self.rows]
############################################################################################################################
#### check columns presence. This must be checked here, because it depends on the integrity of the in input dataFrame.
############################################################################################################################
colnames, colindex = pm.dfutils.getColNamesIndex(self._dfref().columns,self.columns)
############################################################################################################################
#### set up tick labels
############################################################################################################################
xtickExists = True
if "xticklabels" in vars(self.heatmap.kws).keys():
if not any(self.heatmap.kws.xticklabels): xtickExists = False
else:
self.heatmap.kws.xticklabels = colnames
ytickExists = True
if "yticklabels" in vars(self.heatmap.kws).keys():
if not any(self.heatmap.kws.yticklabels): ytickEyists = False
else:
self.heatmap.kws.yticklabels = rownames
############################################################################################################################
#### plot data
############################################################################################################################
if self.annotPrecision is None:
data = self._dfref().iloc[self.rows,colindex]
else:
data = self._dfref().iloc[self.rows,colindex].round( decimals = self.annotPrecision )
self.currentFig.axes = sns.heatmap ( data = data
, **vars(self.heatmap.kws)
)
############################################################################################################################
#### configure the tick labels (orientation, ...)
############################################################################################################################
self.currentFig.axes.set_xticklabels( self.currentFig.axes.get_xticklabels()
, **vars(self.xticklabels.kws)
);
self.currentFig.axes.set_yticklabels( self.currentFig.axes.get_yticklabels()
, **vars(self.yticklabels.kws)
);
plt.tight_layout()
if self.figure.enabled:
# default figure size
figWidth = 6.4 # inches
figHeight = 4.8 # inches
figWidthScale = 1
figHeightScale = 1
threshDimension = 10
# scale only if ticklabels are present
if xtickExists:
figWidthScale = max( 1 , self._dfref().shape[1]/threshDimension )
figWidth *= figWidthScale
if ytickExists:
figHeightScale = max( 1 , self._dfref().shape[0]/threshDimension )
figHeight *= figHeightScale
self.currentFig.figure.set_size_inches(figWidth,figHeight)
############################################################################################################################
if reself: return self
################################################################################################################################
#### _getDocString
################################################################################################################################
[docs] def _getDocString(self):
docString = newline \
+ "Here is the help information on the HeatMapPlot class:" + newline \
+ newline \
+ self.__doc__ \
+ newline \
+ "Here is the help information on the parent BasePlot class:" + newline \
+ newline \
+ super().__doc__
return docString
################################################################################################################################
#### helpme
################################################################################################################################
[docs] def helpme(self, topic=None):
"""
Print the documentation for the input string topic.
If the topic does not exist, the documentation for
the object will be printed.
**Parameters**
topic (optional)
A string containing the name of the object
for which help is needed.
**Returns**
None
**Example**
.. code-block:: python
:linenos:
helpme()
helpme("make")
helpme("helpme")
helpme("getLogLinSpace")
"""
try:
exec("print(self."+topic+".__doc__)")
except:
print(self._getDocString())
return None
################################################################################################################################