加载到dataframe时排除列/列列表

import pandas as pd

# 假设df是你的原始DataFrame
df = pd.read_csv('your_file.csv')

# 列出要排除的列名
columns_to_exclude = ['column1', 'column2']

# 使用列索引排除特定列
df_filtered = df.loc[:, ~df.columns.isin(columns_to_exclude)]

import pandas as pd

# 假设df是你的原始DataFrame
df = pd.read_csv('your_file.csv')

# 列出要排除的列名
columns_to_exclude = ['column1', 'column2']

# 使用列名排除特定列
df_filtered = df.drop(columns=columns_to_exclude)

import dask.dataframe as dd

# 假设ddf是你的原始Dask DataFrame
ddf = dd.read_csv('your_file.csv')

# 列出要排除的列名
columns_to_exclude = ['column1', 'column2']

# 使用列名排除特定列
ddf_filtered = ddf.drop(columns=columns_to_exclude)

import pandas as pd

df = pd.read_csv('your_file.csv')
columns_to_exclude = ['column1', 'column2']

# 检查列名是否存在
for col in columns_to_exclude:
    if col not in df.columns:
        print(f"列名 {col} 不存在")

# 排除列
df_filtered = df.drop(columns=columns_to_exclude)

import pandas as pd

df = pd.read_csv('your_file.csv')
columns_to_exclude = ['column1', 'column2']  # 确保列名拼写正确

# 排除列
df_filtered = df.drop(columns=columns_to_exclude)