IIUC，你可以使用assign和dict/listcomp& *unpacking*：
We can also create a column based on another column in a pandas dataframe. For this, we will first create a series based on another column. Then, we can use theassign()method and pass the column name with the series as its input to assign the column to the pandas dataframe. You can ...
IIUC，你可以使用assign和dict/listcomp& *unpacking*：
你的意思是使用df1作为一个 * 字典 *（在一列中查找一个值，然后在同一行的第二列中获取该值），
EXAMPLE 5: Assign a specific value conditionally, based on another column Ok, one more example to answer a new question in the comments section. Here, we’re going to answer the question “What if the company name is different for each individual, how do you assign that?” ...
one way to do this would be to use indexing with.loc.
How to Apply a function to multiple columns in Pandas?, pandas.DataFrame.apply. This function applies a function along an axis of the DataFrame. func : Function to apply to each column or row. raw : … How to assign values based on multiple columns in pandas?
In pandas you can add a new constant column with a literal value to DataFrame using assign() method, this method returns a new Dataframe after adding a column. insert() is also used to update the existing DataFrame with a new constant column. In this article, I will explain several ways...
df = df.assign(**{'some column name': col.values}) And here's the documentation forapply, andassign. Short answer, distilled down to the essential! I'm getting theSettingWithCopyWarningwhen I dodf['c'] = df.apply(lambda row: row.a + row.b, axis=1)Is that a real issue here,...
Filter Rows with NAN Value from Pandas DataFrame Column Create Test and Train Samples from Pandas DataFrame Pandas Add Column based on Another Column Pandas Drop Level From Multi-Level Column Index References https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.rename.html...