When parsing Excel files and storing them in variables
If specific cell emptyoutputs at the output. that nan
I'm trying to empty my teeth again, but I don't know what to do
Even if you use isnan, you'll get an error
I'd appreciate it if you could tell me how to solve it
import panda as pd
import json
from collections import OrderedDict
df = pd.read_excel('Apple data.xlsx')
name = str(df.iloc[0,0])
prop02 = df.iloc[0,2]
prop03 = df.iloc[0,3]
prop04 = df.iloc[0,4]
'''
file_data = OrderedDict();
file_data["description"] = ""
file_data["external_url"] = ""
file_data["image"] = ""
file_data["name"] = name
file_data["attributes"] = ({'trait_type': 'Property01', 'value': df.iloc[0,1]},
{'trait_type': 'Property02', 'value': prop02},
{'trait_type': 'Property03', 'value': prop03},
{'trait_type': 'Property04', 'value': prop04})
with open(name +'.json','w',encoding="utf-8") as make_file:
json.dump(file_data,make_file,ensure_ascii=False,indent="\t")
'''
Nan means not a number. If you want to enter the blank string when nan, it would be good to use the method below.
df = pd.read_excel('Apple data.xlsx', na_filter=False)
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