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12 changes: 6 additions & 6 deletions source/Main.py
Original file line number Diff line number Diff line change
Expand Up @@ -65,12 +65,12 @@ def print(self):
self.landscape_obj.plot_alignment_landscape()

def plotTimeSeries(self, refQueryAlignerObj, plot_cells = False, plot_mean_trend= False):
sb.scatterplot(self.S.X, self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref')
sb.scatterplot(self.T.X, self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query')
sb.scatterplot(x=self.S.X, y=self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref')
sb.scatterplot(x=self.T.X, y=self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query')
# plt.legend(loc='upper left')
if(plot_cells):
sb.scatterplot(refQueryAlignerObj.ref_time, np.asarray(refQueryAlignerObj.ref_mat[self.gene]), color = 'forestgreen' )
sb.scatterplot(refQueryAlignerObj.query_time, np.asarray(refQueryAlignerObj.query_mat[self.gene]), color = 'midnightblue' )
sb.scatterplot(x=refQueryAlignerObj.ref_time, y=np.asarray(refQueryAlignerObj.ref_mat[self.gene]), color = 'forestgreen' )
sb.scatterplot(x=refQueryAlignerObj.query_time, y=np.asarray(refQueryAlignerObj.query_mat[self.gene]), color = 'midnightblue' )
plt.title(self.gene)
plt.xlabel('pseudotime')
plt.ylabel('log1p expression')
Expand All @@ -79,8 +79,8 @@ def plotTimeSeries(self, refQueryAlignerObj, plot_cells = False, plot_mean_trend
self.plot_mean_trends()

def plotTimeSeriesAlignment(self):
sb.scatterplot(self.S.X, self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref')
sb.scatterplot(self.T.X, self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query')
sb.scatterplot(x=self.S.X, y=self.S.Y, color = 'forestgreen' ,alpha=0.05)#, label='Ref')
sb.scatterplot(x=self.T.X, y=self.T.Y, color = 'midnightblue' ,alpha=0.05)#, label ='Query')
# plt.legend(loc='upper left')
self.plot_mean_trends()
plt.title(self.gene)
Expand Down
2 changes: 1 addition & 1 deletion source/TimeSeriesPreprocessor.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,7 +19,7 @@ def __init__(self, time_points, mean_trend, std_trend, data_bins, X,Y, cell_dens
self.intpl_stds = None

def plot_mean_trend(self, color='blue'):
sb.lineplot(self.time_points, self.mean_trend, linewidth=3, color=color)
sb.lineplot(x=self.time_points, y=self.mean_trend, linewidth=3, color=color)


def reverse_time_series(self):
Expand Down