text: import matplotlib
  matplotlib.use("agg")
  import matplotlib.pyplot as plt
  import seaborn as sns
  import pandas as pd
  
  
  sns.set(style="ticks", palette="colorblind", context="paper")
  plt.figure(figsize=snakemake.config["plots"]["figsize"])
  
  
  for f in snakemake.input:
      counts = pd.read_table(f, index_col=[0, 1])
      plt.scatter(counts["exact"], counts["corrected"], s=2, c="k", alpha=0.6, edgecolors="face", rasterized=True)
  
  plt.xlabel("exact counts")
  plt.ylabel("corrected counts")
  plt.xlim((0, 1000))
  plt.ylim((0, 1000))
  plt.locator_params(nbins=4)
  #ax = plt.gca()
  #ax.set_yscale('log')
  #ax.set_xscale('log')
  sns.despine()
  plt.savefig(snakemake.output[0], bbox_inches="tight")
  