# from rpy2.robjects import pandas2ri
from rpy2.robjects.packages import importr
import rpy2.robjects.pandas2ri as pandas2ri
import pandas as pd

# 将pandas DataFrame转换为R语言中的data.frame
pandas2ri.activate()
# df = pd.read_csv('example.maf', sep='\t')
# 读取 maf 文件
maf_df = pd.read_csv('example.maf', sep='\t', comment='#')

# 转为 csv 文件
maf_df.to_csv('example.csv', index=False)

# 1. 准备数据
data = pd.read_csv('example.csv')

print(type(data))
# X = data.iloc[:, :-1]
# y = data.iloc[:, -1]
# print(y)
# df = pd.DataFrame(data[1:], columns=data[0])
# print(df)
# maf_df = pd.read_csv('example.maf', sep='\t', comment='#')
# df=pd.DataFrame(maf_df)

# df_r = pandas2ri.py2rpy(df)
#
# # 使用maftools包
# maftools = importr('maftools')
# plot_oncoplot = maftools.plot_oncoplot
# plot_oncoplot(df_r)