将字段转换为文本单词

当你需要将程序中的数字字段转换成文本单词时，可以使用下面的Python代码片段：

def num_to_word(num):
    digits = [
        "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine",
        "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen", "Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"
    ]
    tens = ["", "", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety"]
    
    if num < 20:
        return digits[num]
    elif num < 100:
        return tens[num//10] + ("" if num%10==0 else " " + digits[num%10])
    elif num < 1000:
        return digits[num//100] + " Hundred" + ("" if num%100==0 else " and " + num_to_word(num%100))
    elif num < 1000000:
        return num_to_word(num//1000) + " Thousand" + ("" if num%1000==0 else ", " + num_to_word(num%1000))
    else:
        return "Number out of range!"

这个函数将传递给它的数字转换成文本单词的形式。它支持转换的数字的范围是0到999,999。

示例:

num_to_word(123)
# 返回结果: 'One Hundred and Twenty Three'

num_to_word(456789)
# 返回结果: 'Four Hundred and Fifty Six Thousand, Seven Hundred and Eighty Nine'

我们还可以将这个函数作为内置函数嵌入到Pandas DataFrame来将列的每个元素转换为文本单词的形式。这需要使用apply方法，并传递上面的函数作为参数。

import pandas as pd

df = pd.DataFrame({'num': [123, 456789]})
df['word'] = df['num'].apply(num_to_word)
df

# 返回结果:
#      num                            word
# 0    123              One Hundred and Twenty Three
# 1    456789  Four Hundred and Fifty Six Thousand, Seven Hundred and Eighty Nine

如上所述，我们可以将数字字段转换为文本单词，这在特定场景下是非常实用的。

Markdown代码片段

## 将字段转换为文本单词

当你需要将程序中的数字字段转换成文本单词时，可以使用下面的Python代码片段：

```python
def num_to_word(num):
    digits = [
        "Zero", "One", "Two", "Three", "Four", "Five", "Six", "Seven", "Eight", "Nine",
        "Ten", "Eleven", "Twelve", "Thirteen", "Fourteen", "Fifteen", "Sixteen", "Seventeen", "Eighteen", "Nineteen"
    ]
    tens = ["", "", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety"]
    
    if num < 20:
        return digits[num]
    elif num < 100:
        return tens[num//10] + ("" if num%10==0 else " " + digits[num%10])
    elif num < 1000:
        return digits[num//100] + " Hundred" + ("" if num%100==0 else " and " + num_to_word(num%100))
    elif num < 1000000:
        return num_to_word(num//1000) + " Thousand" + ("" if num%1000==0 else ", " + num_to_word(num%1000))
    else:
        return "Number out of range!"

这个函数将传递给它的数字转换成文本单词的形式。它支持转换的数字的范围是0到999,999。

示例:

num_to_word(123)
# 返回结果: 'One Hundred and Twenty Three'

num_to_word(456789)
# 返回结果: 'Four Hundred and Fifty Six Thousand, Seven Hundred and Eighty Nine'

我们还可以将这个函数作为内置函数嵌入到Pandas DataFrame来将列的每个元素转换为文本单词的形式。这需要使用apply方法，并传递上面的函数作为参数。

import pandas as pd

df = pd.DataFrame({'num': [123, 456789]})
df['word'] = df['num'].apply(num_to_word)
df

# 返回结果:
#      num                         word
# 0    123           One Hundred and Twenty Three
# 1    456789  Four Hundred and Fifty Six Thousand, Seven Hundred and Eighty Nine

如上所述，我们可以将数字字段转换为文本单词，这在特定场景下是非常实用的。