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on scatterplots, allow seaborn 0.11.2 to also put Pearson's r on the … #29

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on scatterplots, allow seaborn 0.11.2 to also put Pearson's r on the … #29

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7 changes: 6 additions & 1 deletion bin/scatter_plots.py
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Expand Up @@ -31,7 +31,12 @@ def scatter_plot(TPM_log, TPMs, name_1, name_2, lim_plot, organism):
# calculate pearson's correlation coefficient
stat = lambda a,b: stats.pearsonr(TPMs.rep1,TPMs.rep2)
# add label with pearson's correlation coefficient
g1 =g1.annotate(stat, template="{stat}: {val:.4f}", stat="Pearson's r", loc="upper left", fontsize=15) # {stat}: {val:.2f} (p = {p:.3g}) with p-value
# g1 =g1.annotate(stat, template="{stat}: {val:.4f}", stat="Pearson's r", loc="upper left", fontsize=15) # {stat}: {val:.2f} (p = {p:.3g}) with p-value
# that 0.9.0 only, the following should ALSO work for v0.11.2
pearr = stats.pearsonr(TPMs.rep1, TPMs.rep2)
st=f"Pearson's r = {pearr[0]:.4f}"
g1.ax_joint.text(0.05, 0.95, st, fontsize=15, transform=g1.ax_joint.transAxes, verticalalignment='top')
# return to main
g1.ax_marg_x.set_axis_off()
g1.ax_marg_y.set_axis_off()
plt.xlabel(r'$\mathrm{log_{10}TPM}$'+ '\n' + '\n' + name_1.split('_TPM')[0] ,fontsize=15, labelpad= 5)
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