我有一个包含代码和名称字典的数据框。有些名字是空白的。我试图根据代码与名称匹配的其他示例来填补这些空白。到目前为止,我已经按代码对df进行了分类,但不知道如何“填空”。这是我的密码:
import pandas as pd
import json
from pandas.io.json import json_normalize
df = pd.read_json('data/world_bank_projects.json')
theme= pd.DataFrame([val for pair in df['mjtheme_namecode'].values for val in pair])
theme1 = theme.set_index('code').sort_index()
print(theme1)
name
code
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1 Economic management
1
1 Economic management
1
1 Economic management
1 Economic management
1
1 Economic management
1 Economic management
1 Economic management
1 Economic management
在我填写之后,我想数一数(用相同的代码或名称)。我想我可以用价值计算,对吗?你知道吗
目前没有回答
相关问题 更多 >
编程相关推荐