DataFrame：将行转换为 dict python？

Question

我正在尝试将数据框行转换为字典。

df

       a            b
  
 0    paul         active
 1    marcus     inactive
 2    bruno        active
 3    scott      inactive
 4    anthony      active

到行中的字典：

final_dict = {'paul':'active','marcus':'inactive','bruno':'active','scott':'inactive','anthony':'active'}

Answer 1

方法如下：

d = {k:df['b'][df[df['a']==k].index.values[0]] for k in df['a']}

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分解一下，这里是如何在列中找到特定值的索引：

val = 'value' # The value we want to find the index of
col = 'a' # The column the value is in
index = df[df[col]==val].index.values[0] # Here is how to find the index

在给定索引的情况下，如何找到特定列的值：

index = 3 The index of the column we want to find the value of
col = 'a' # The column which want to find a value in
value = df[col][index] # Here is how to find the value

所以字典基本上会有a列的值和b列的值，我们通过索引找到与a中的值对应的值。

Answer 2

你可以用这个

import pandas as pd
df.to_dict(orient='records')

您可以参考here