That one good idea I had for a new take on FASTQ quality visualization

[clintval]

import pandas as pd

import matplotlib.pyplot as plt

df = pd.read_csv("/Users/cvalentine/scratch/fastq-qual/1.csv")
fig, ax = plt.subplots(figsize=(5, 10))
ax.imshow(df.values, aspect='auto')