如何从合并单元格中使用 pandas 将 excel 列数据提取到 python 列表中

Question

i'm trying to extract 'Country' column data into python list using pandas. Below the code i used to. Also attached excel sheet and output.

code:

from pandas import DataFrame
import pandas as pd
open_file = pd.read_excel('data.xlsx', sheet_name=0)
df = list(open_file['Country'])
print(df)

Output:

[nan, 'Great Britain', 'China ', 'Russia', 'United States', 'Korea', 'Japan', 'Germany']

Process finished with exit code 0

In the output i can see 'nan' because in the sheet two cells are merged into one. How to avoid this?

enter image description here

Answer 1

Use header=1 and then you can use it with unnamed:0 or 1 or 2 to get column values to list

import pandas as pd

df = pd.read_excel('data.xlsx', sheet_name=0, header=1)
print(df['Unnamed: 0'].to_list())

Answer 2

Try this

df = pd.read_excel('data.xlsx', header[0,1])
df = df.rename(columns=lambda x: x if not 'Unnamed' in str(x) else '')

Now the headers are in the form of tuples. For ex, to access Country or Column Gold , you need to write something like below statements

print(df[('Country', '')])
print(df[('Media Tally', 'Gold')])