如何将一些字符串编码为 pandas 数据帧中所有列的数字？ 例如在整个数据框中将“是”更改为 1

Question

I normally use the following code to encode strings to numbers within a specific columns:

data['column name'] = data['column name'].map({'Yes': 1, 'No': 0})

How do we replace all 'Yes' to 1 and 'No' to 0 in the whole data frame without having to write the above code for every column.

Thank you!

Answer 1

Simply use a for loop to iterate through all the columns:

for column in df.columns():
    data[column] = data[column].map({'Yes': 1, 'No': 0})

Or use the replace method:

data = data.replace({'Yes': 1, 'No': 0})

Answer 2

You mean this:

data = data.replace({'Yes': 1, 'No': 0})

This will replace the values in the entire dataframe.

Answer 3

Check

data = data.apply(lambda x :x.map({'Yes': 1, 'No': 0}))