用 pandas 中的其他列填充 Nas
fill Nas with other column in pandas
我有一些 NA，想用同一行另一列中的值填充它们。
df = pd.DataFrame({"column A": ["Atlanta", "Atlanta", "New York", "",""],
"column B": ["AT", "AT", "NY", "1", ""]})
columnA
ColumnB
Atlanta
AT
Atlanta
AT
Newyork
NY
1
预期输出：
columnA
ColumnB
Atlanta
AT
Atlanta
AT
Newyork
NY
1
1
您可以像这样简单地将 fillna 与列名称一起使用：
df['column A'].fillna(df['column B'])
我有一些 NA，想用同一行另一列中的值填充它们。
df = pd.DataFrame({"column A": ["Atlanta", "Atlanta", "New York", "",""],
"column B": ["AT", "AT", "NY", "1", ""]})
| columnA | ColumnB |
|---|---|
| Atlanta | AT |
| Atlanta | AT |
| Newyork | NY |
| 1 | |
预期输出：
| columnA | ColumnB |
|---|---|
| Atlanta | AT |
| Atlanta | AT |
| Newyork | NY |
| 1 | 1 |
您可以像这样简单地将 fillna 与列名称一起使用：
df['column A'].fillna(df['column B'])