熊猫 - 删除行后标题不会改变

Question

使用Pandas删除DataFrame的几行后，标头不会更改；它保持了行被丢弃之前的样子。

如何获取更新的页眉？

for row in range(rowStart): # rowStart is my index (int). It means it should drop all rows up to this
df.drop(row, inplace=True)
df = df.reset_index(drop=True)
header = list(df) # even assigning the header after the drop, it keeps returning the same as before
print(header)
print('')
print(df) # the DataFrame is ok, without the removed rows (as expected)

最小示例：

data = {
'': '',
'asd': '',
'bfdgfd': '',
'trytr': '',
'jlhj': '',
'Job': 'Revenue',
'abc123': 1000.00,
'hey098': 2000.00
}
df = pd.DataFrame(data.items(),
columns=['Unnamed: 0', 'Unnamed: 1'])
header = list(df)
print(header)
print('')
print(df)
startRow = 5
for row in range(startRow):
df.drop(row, inplace=True)
df = df.reset_index(drop=True)
header = list(df)
print(header)
print('')
print(df)

Answer 1

在熊猫中；标题"；是列的名称，与数据帧中的数据分开存储。根据您的评论，我认为您需要先更改列名，然后删除行。

import pandas as pd
data = {
'': '',
'asd': '',
'bfdgfd': '',
'trytr': '',
'jlhj': '',
'Job': 'Revenue',
'abc123': 1000.00,
'hey098': 2000.00
}
df = pd.DataFrame(data.items(),
columns=['Unnamed: 0', 'Unnamed: 1'])
startRow = 5
df.columns = df.loc[startRow].to_list()  # set the "header" to the values in this row
df = df.loc[startRow+1:].reset_index(drop=True)  # select only the rows you want

在这个代码之后，df将是：

Job Revenue
0  abc123    1000
1  hey098    2000