回答问题

当我逐行遍历它并在 A 列中输出值时,我将如何更改以下代码以将 NaN 值处理为我的数据框中的空单元格?

excel = pd.ExcelWriter(f_name,engine='xlsxwriter')
wb = excel.book
ws = wb.add_worksheet('PnL')

for i in len(df):
  ws.write(0,i,df.iloc[i]['A'])

Answers

我认为你可以使用fillna:

df = df.fillna(0)

或者:

df['A'] = df['A'].fillna(0)

但更好的是使用to_excel:

import pandas as pd
import numpy as np

# Create a Pandas dataframe from the data.
df = pd.DataFrame({'A': [10, 20, 30, 20, 15, 30, 45, np.nan], 
                   'B': [10, 20, 30, 20, 15, 30, 45, np.nan]})
print df
    A   B
0  10  10
1  20  20
2  30  30
3  20  20
4  15  15
5  30  30
6  45  45
7 NaN NaN

#create subset, because cannot write Series to excel
df1 = df[['A']]

# Create a Pandas Excel writer using XlsxWriter as the engine.
writer = pd.ExcelWriter('f_name.xlsx', engine='xlsxwriter')

# Convert the dataframe to an XlsxWriter Excel object, instead NaN give 0
df1.to_excel(writer, sheet_name='PnL', na_rep=0)

如果要省略索引和标头,请添加参数index=False和header=False:

df1.to_excel(writer, sheet_name='PnL', na_rep=0, index=False, header=False)