如何通过Python3.7中的Pandas Data Frame验证Excel工作表中的特定单元格值

Question

I have an Excel Sheet having some values, one such cell has Yes/No written in it. Since I have linked the entire file in Python and made a Data Frame of it, how do I verify specific cell values so that only the rows with No value can be printed?

import pandas as pd
data = pd.read_excel(r'/Volumes/SSD/Project/Raw_Data/Light.xlsx')
df1 = pd.DataFrame(data)
df3 = pd.DataFrame(data , columns = ['Person in Room'] ) //Help Needed

Answer 1

Do these following steps:

# Takes in Light.xlsx as dataframe
datacheck = pd.read_excel(r'/Volumes/SSD/Project/Raw_Data/Light.xlsx')

# Prints all rows with NaN values
datacheck[datacheck.isna().any(axis=1)]