小编mba*_*hin的帖子

这是针对我的问题的最小、完整和可验证的玩具数据集：

genes = pd.Series(["Gene1"] * 16 + ["Gene2"] * 16)
conditions = pd.Series(np.tile(np.array(["Condition1"] * 8 + ["Condition2"] * 8), 2))
wellID = pd.Series(np.array(["W1"] * 4 + ["W2"] * 4 + ["W3"] * 4 + ["W4"] * 4 + ["W5"] * 4 + ["W6"] * 4 + ["W7"] * 4 + ["W8"] * 4))
fluo = pd.Series(np.array([np.sort(np.random.logistic(size=4)) for _ in range(8)]).flatten())
cycles = pd.Series(np.tile(np.array([0, 1, 2, 3]), 8))
df = pd.concat([genes, conditions, wellID, cycles, fluo], axis=1)
df.columns = ["Gene", "Condition", "WellID", …