| import pandas as pd |
| import seaborn as sns |
| import matplotlib.pyplot as plt |
| import numpy as np |
|
|
| def main(xlsx_path="LNP.xlsx"): |
| df = pd.read_excel(xlsx_path, header=None, names=["I","H","C","P","Fluorescence"]) |
| df["Log_Fluorescence"] = np.log1p(df["Fluorescence"]) |
| df["IP"] = df["I"].astype(str) + "-" + df["P"].astype(str) |
| df["HC"] = df["H"].astype(str) + "-" + df["C"].astype(str) |
|
|
| heatmap_data = df.pivot_table(index="HC", columns="IP", values="Log_Fluorescence", aggfunc="mean") |
|
|
| plt.figure(figsize=(20,16)) |
| sns.heatmap(heatmap_data, annot=True, fmt=".2f", cmap="viridis") |
| plt.title("Heatmap of Log-Transformed Fluorescence based on IP and HC") |
| plt.xlabel("IP") |
| plt.ylabel("HC") |
| plt.xticks(rotation=90) |
| plt.yticks(rotation=0) |
| plt.show() |
|
|
| if __name__ == "__main__": |
| main() |
|
|
