从最大数据的值在 Python 中创建一个列表

Posted 2023-02-16

【中文标题】从最大数据的值在 Python 中创建一个列表

【英文标题】：Create a List in Python from Value of Max Data

【发布时间】：2021-12-05 04:17:05

【问题描述】：

我想从下面的数据集中用 Python 创建一个列表：

import pandas as pd
df = pd.DataFrame(
    `'CRDACCT_DLQ_CYC_1_MNTH_AGO' : [3, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C',` `'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'],` 
    'CRDACCT_DLQ_CYC_2_MNTH_AGO': [4, 3, 3, 3, 3, 3, 2, 0, 5, 4, 3, 2, 0, 2, 2, 2, 2, 2, 2, 0, 2, 2, 0, 2], 
    'CRDACCT_DLQ_CYC_3_MNTH_AGO': [8, 7, 6, 5, 4, 3, 2, 'F', 'F', 0, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'F', 'C', 'C', 'F', 'F'], 
    'CRDACCT_DLQ_CYC_4_MNTH_AGO' : [0, 2, 'F', 'F', 'C', 'C', 'C', 'C', 0, 2, 0, 2, 0, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'F', 'C', 'F'], 
    'CRDACCT_DLQ_CYC_5_MNTH_AGO' : [2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'], 
    'CRDACCT_DLQ_CYC_6_MNTH_AGO' : [2, 2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 0, 2, 0, 2, 0], 
    'CRDACCT_DLQ_CYC_7_MNTH_AGO' : [3, 3, 2, 'C', 'C', 'C', 'F', 0, 6, 5, 4, 3, 2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'], 
    'CRDACCT_DLQ_CYC_8_MNTH_AGO' : [5, 4, 4, 3, 3, 2, 3, 2, 2, 2, 1, 2, 0, 2, 'C', 'C', 0, 2, 2, 2, 'C', 'C', 0, 'Z'], 
    'CRDACCT_DLQ_CYC_9_MNTH_AGO' : [2, 2, 'C', 0, 2, 0, 2, 'C', 'C', 'C', 'C', 'C', 0, 3, 2, 'C', 'F', 'C', 'F', 'F', 'F', 'F', 'F', 'F'], 
    'CRDACCT_DLQ_CYC_10_MNTH_AGO' : [5, 4, 3, 2, 3, 2, 0, 2, 0, 2, 'C', 'C', 'F', 2, 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'C'], 
    'CRDACCT_DLQ_CYC_11_MNTH_AGO' : [4, 3, 2, 'F', 2, 0, 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z'], 
    'CRDACCT_DLQ_CYC_12_MNTH_AGO' : ['F', 8, 7, 6, 5, 4, 3, 2, 'C', 'C', 'C', 0, 2, 'C', 'C', 0, 2, 0, 3, 2, 'C', 'C', 'F', 2]
)

通过转置数据以使用此代码转换值来处理一些数据：

#Transpose data
dfT = pd.DataFrame(df.T).reset_index(inplace=False)
dfT

#Data converting
df = df.replace('C': -1, 'F': -2, 'Z': -3).astype(int).T
df

数据框如下所示：

例如，

#in column 0, max value is 8,
#in column 1, max value is 8,
#in column 2, max value is 7,
.....
and so on until column 23.

我期望的最终结果应该是一个包含每列最大值的列表：

max_val = [8,8,7,6,5,4,3,2,6,5,...,2,2,2,2,2,2,2,2,2,2]

【参考方案1】：

你可以试试这个：

import pandas as pd


df = pd.DataFrame(
    'CRDACCT_DLQ_CYC_1_MNTH_AGO' : [3, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'],
    'CRDACCT_DLQ_CYC_2_MNTH_AGO': [4, 3, 3, 3, 3, 3, 2, 0, 5, 4, 3, 2, 0, 2, 2, 2, 2, 2, 2, 0, 2, 2, 0, 2], 
    'CRDACCT_DLQ_CYC_3_MNTH_AGO': [8, 7, 6, 5, 4, 3, 2, 'F', 'F', 0, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'F', 'C', 'C', 'F', 'F'], 
    'CRDACCT_DLQ_CYC_4_MNTH_AGO' : [0, 2, 'F', 'F', 'C', 'C', 'C', 'C', 0, 2, 0, 2, 0, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'F', 'C', 'F'], 
    'CRDACCT_DLQ_CYC_5_MNTH_AGO' : [2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'], 
    'CRDACCT_DLQ_CYC_6_MNTH_AGO' : [2, 2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 0, 2, 0, 2, 0], 
    'CRDACCT_DLQ_CYC_7_MNTH_AGO' : [3, 3, 2, 'C', 'C', 'C', 'F', 0, 6, 5, 4, 3, 2, 2, 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C', 'C'], 
    'CRDACCT_DLQ_CYC_8_MNTH_AGO' : [5, 4, 4, 3, 3, 2, 3, 2, 2, 2, 1, 2, 0, 2, 'C', 'C', 0, 2, 2, 2, 'C', 'C', 0, 'Z'], 
    'CRDACCT_DLQ_CYC_9_MNTH_AGO' : [2, 2, 'C', 0, 2, 0, 2, 'C', 'C', 'C', 'C', 'C', 0, 3, 2, 'C', 'F', 'C', 'F', 'F', 'F', 'F', 'F', 'F'], 
    'CRDACCT_DLQ_CYC_10_MNTH_AGO' : [5, 4, 3, 2, 3, 2, 0, 2, 0, 2, 'C', 'C', 'F', 2, 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'F', 'C'], 
    'CRDACCT_DLQ_CYC_11_MNTH_AGO' : [4, 3, 2, 'F', 2, 0, 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z', 'Z'], 
    'CRDACCT_DLQ_CYC_12_MNTH_AGO' : ['F', 8, 7, 6, 5, 4, 3, 2, 'C', 'C', 'C', 0, 2, 'C', 'C', 0, 2, 0, 3, 2, 'C', 'C', 'F', 2]
)

#Transpose data
dfT = pd.DataFrame(df.T).reset_index(inplace=False)

#Data converting
df = df.replace('C': -1, 'F': -2, 'Z': -3).astype(int).T

max_val = list(df.max())

print(max_val)

输出：

[8, 8, 7, 6, 5, 4, 3, 2, 6, 5, 4, 3, 2, 3, 2, 2, 2, 2, 3, 2, 2, 2, 2, 2]