def plotCrossCompartmentHeatmap(cyDfA, cyDfB, bicluster=False, n_clusters=4): rho,pvalue,qvalue = crosscorr(cyDfA[sorted(cyDfA.columns)], cyDfB[sorted(cyDfB.columns)]) if n_clusters is None: heatmap(rho, vmin=-1, vmax=1) else: if bicluster: rho_sorted = plotBicluster(rho, n_clusters=n_clusters) else: plotCorrHeatmap(dmat=rho)
def plotCrossCompartmentHeatmap(cyDfA, cyDfB, bicluster=False, n_clusters=4): rho, pvalue, qvalue = crosscorr(cyDfA[sorted(cyDfA.columns)], cyDfB[sorted(cyDfB.columns)]) if n_clusters is None: heatmap(rho, vmin=-1, vmax=1) else: if bicluster: rho_sorted = plotBicluster(rho, n_clusters=n_clusters) else: plotCorrHeatmap(dmat=rho)
def cyNHeatmap(cyDf): """Heatmap showing number of data points for each potential pairwise comparison of cytokines""" plt.clf() pwCounts = validPairwiseCounts(cyDf) heatmap(pwCounts, cmap=cm.gray, edgecolors='w', labelSize='medium') plt.tight_layout()