Python heatmap Examples

Example #1

File: plotting.py Project: agartland/cycluster

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)

Example #2

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)

Example #3

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()

Example #4

File: plotting.py Project: agartland/cycluster

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()