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28 lines
937 B
Python

import pandas as pd
def drop_unique_columns(df: pd.DataFrame):
nunique = df.nunique() # 计算每一列的唯一值的数量
cols_to_drop = nunique[nunique == 1].index # 找到只有一个唯一值的列的索引
df.drop(cols_to_drop, axis=1, inplace=True) # 删除这些列
print(cols_to_drop) # 输出删除的列的列名
return df
# def drop_columns_with_fix_up(df: pd.DataFrame, columns: list):
# columns = [w.lstrip() for w in columns]
# df = drop_columns(df, columns)
# columns = [" " + w for w in columns]
# df = drop_columns(df, columns)
# return df
def drop_columns(df: pd.DataFrame, columns: list):
columns = [w.lstrip() for w in columns]
for column_name in columns:
cols_to_drop = df.filter(regex=column_name).columns
df.drop(cols_to_drop, axis=1, inplace=True)
return df
def get_ddos_df(df: pd.DataFrame):
return df[df.iloc[:, -1] == 'DDoS']