Loading src/yapsut/graphics.py +56 −0 Original line number Original line Diff line number Diff line import matplotlib.pyplot as plt import numpy as np class ImshowXT : """ class to handle an improved version of plt.imshow """ def __init__(self,matr,x_values,y_values,**kwargs) : """ matr = the matrix to show, x_values = the values on the x axis, y_values, the values on the y axis kwarg = kwargs for plt.imshow """ from matplotlib import pyplot as plt self._im=plt.imshow(matr,**kwargs) self._xv=x_values self._yv=y_values def set_xaxis(self,major_values,major_format) : """ format the x axis for a give list of tick values and a formatting string """ from matplotlib import pyplot as plt import numpy as np self._mxv=major_values self._mxf=major_format # v=self._xv t=np.array([np.argmin(np.abs(k-v)) for k in major_values]) t1=np.arange(len(v)) # plt.xticks(t,np.interp(t,t1,v)) tt=plt.gca().get_xticklabels() for ik in range(len(tt)) : o=float(tt[ik].get_text()) o1=major_format%o tt[ik].set_text(o1) plt.gca().set_xticklabels(tt) def set_yaxis(self,major_values,major_format) : """ format the y axis for a give list of tick values and a formatting string """ from matplotlib import pyplot as plt import numpy as np self._myv=major_values self._myf=major_format # v=self._yv t=np.array([np.argmin(np.abs(k-v)) for k in major_values]) t1=np.arange(len(v)) # plt.yticks(t,np.interp(t,t1,v)) tt=plt.gca().get_yticklabels() for ik in range(len(tt)) : o=float(tt[ik].get_text()) o1=major_format%o tt[ik].set_text(o1) plt.gca().set_yticklabels(tt) def colorbar(self,**karg) : """ add a color bar """ from matplotlib import pyplot as plt plt.colorbar(**karg) def odot(x,y,color=['yellow','red'],markersize=[30,10],scale=1.,zorder=None,mew=[4,0]) : def odot(x,y,color=['yellow','red'],markersize=[30,10],scale=1.,zorder=None,mew=[4,0]) : """ draw an odot""" """ draw an odot""" from matplotlib import pyplot as plt from matplotlib import pyplot as plt Loading Loading
src/yapsut/graphics.py +56 −0 Original line number Original line Diff line number Diff line import matplotlib.pyplot as plt import numpy as np class ImshowXT : """ class to handle an improved version of plt.imshow """ def __init__(self,matr,x_values,y_values,**kwargs) : """ matr = the matrix to show, x_values = the values on the x axis, y_values, the values on the y axis kwarg = kwargs for plt.imshow """ from matplotlib import pyplot as plt self._im=plt.imshow(matr,**kwargs) self._xv=x_values self._yv=y_values def set_xaxis(self,major_values,major_format) : """ format the x axis for a give list of tick values and a formatting string """ from matplotlib import pyplot as plt import numpy as np self._mxv=major_values self._mxf=major_format # v=self._xv t=np.array([np.argmin(np.abs(k-v)) for k in major_values]) t1=np.arange(len(v)) # plt.xticks(t,np.interp(t,t1,v)) tt=plt.gca().get_xticklabels() for ik in range(len(tt)) : o=float(tt[ik].get_text()) o1=major_format%o tt[ik].set_text(o1) plt.gca().set_xticklabels(tt) def set_yaxis(self,major_values,major_format) : """ format the y axis for a give list of tick values and a formatting string """ from matplotlib import pyplot as plt import numpy as np self._myv=major_values self._myf=major_format # v=self._yv t=np.array([np.argmin(np.abs(k-v)) for k in major_values]) t1=np.arange(len(v)) # plt.yticks(t,np.interp(t,t1,v)) tt=plt.gca().get_yticklabels() for ik in range(len(tt)) : o=float(tt[ik].get_text()) o1=major_format%o tt[ik].set_text(o1) plt.gca().set_yticklabels(tt) def colorbar(self,**karg) : """ add a color bar """ from matplotlib import pyplot as plt plt.colorbar(**karg) def odot(x,y,color=['yellow','red'],markersize=[30,10],scale=1.,zorder=None,mew=[4,0]) : def odot(x,y,color=['yellow','red'],markersize=[30,10],scale=1.,zorder=None,mew=[4,0]) : """ draw an odot""" """ draw an odot""" from matplotlib import pyplot as plt from matplotlib import pyplot as plt Loading