每次我尝试使用 Python 中的 Pandas 重新组织此数据集中的列时，所有值都会变成 Nan。我该如何解决？

Question

作为作业的一部分，我正在尝试以（咖啡）类型按字母顺序排列的方式重新组织列。我实现了以下代码，它确实有效：

#Rearrange the names of the Coffees so they are in alphabetical order
Reorganized = ["Channel", "Region", "Arabica", "Cappuccino", "Espresso", "Latte", "Lungo"]
BeanFileCleaned = BeanFileCleaned.reindex(columns=Reorganized)

BeanFileCleaned

但是，当我再次运行文件时， table 中的所有值都变成 Nan 并且由于某种原因，行也与列同名（有很多行，所以这不应该发生）。

我该如何解决这个问题？感谢任何帮助，提前致谢。

编辑：忘了补充，结果是这样的：

Answer 1

假设 BeanFileCleaned 是一个 pandas 数据框，您可能正在寻找这样的东西。

#Rearrange the names of the Coffees so they are in alphabetical order
Reorganized = ["Channel", "Region", "Arabica", "Cappuccino", "Espresso", "Latte", "Lungo"]
Reorganized = sorted(Reogranized)
BeanFileCleaned = BeanFileCleaned[Reorganized]

如果您有额外的列要追加到末尾，您可以这样做

all_columns = BeanFileCleaned.columns

#Rearrange the names of the Coffees so they are in alphabetical order
Reorganized = ["Channel", "Region", "Arabica", "Cappuccino", "Espresso", "Latte", "Lungo"]
Reorganized = sorted(Reogranized)
Reorganized_set = set(Reorganized)
rest_columns = [column for column in all_columns if column not in Reorganized_set]

BeanFileCleaned = BeanFileCleaned[Reorganized + rest_columns]

每次我尝试使用 Python 中的 Pandas 重新组织此数据集中的列时，所有值都会变成 Nan。我该如何解决？

Everytime I try to reorganize the columns in this data set using Pandas in Python, all values turn Nan. How do I fix this?

python

pandas

numpy

nan

reindex