python - 从 python 中的数据框中删除多列

Question

我想使用 python 从数据框中删除多列(大约 800 列)。我写了下面的代码:

  def corr_df(x, corr_val):


    # Creates Correlation Matrix and Instantiates
    corr_matrix = x.corr()
    iters = range(len(corr_matrix.columns) - 1)
    drop_cols = []
    df_drop=pd.DataFrame()
    cols=[]
    # Iterates through Correlation Matrix Table to find correlated columns
    for i in iters:
        for j in range(i):
            item = corr_matrix.iloc[j:(j+1), (i+1):(i+2)]
            col = item.columns
            row = item.index
            val = item.values
            if val >= corr_val:
                # Prints the correlated feature set and the corr val
                #print(col.values[0], "|", row.values[0], "|", round(val[0][0], 2))
                drop_cols.append(i)

    drops = sorted(set(drop_cols))[::-1]
    df_dropped=x.drop(drops,axis=1)
    # Drops the correlated columns
#     for i in drops:
#         col=(x.iloc[:, (i+1):(i+2)].columns.values.tolist())
#         print (col)
#         df_dropped=df.drop(col, axis=1)

        #cols.append()

    #print(df_dropped)
    return (df_dropped)

但是这段代码打印的数据帧只删除了一列。对此有何意见或建议？

提前致谢

Answer 1

按数字索引删除多列，如下所示:

cols = [1069, 1068, 1067]

df = df.drop(df.columns[cols], axis=1)