使用列条件过滤熊猫数据框的行，但列的名称应该是部分匹配的

Question

I have data like this

I want to apply column condition to filter out the rows based on the condition WinningPoints > 40 . I can get this done by using dataframe[(dataframe.WinningPoints > '40')]

However, I would like to pass a partial label in the column tag and maybe use regex to match the entire string,something like this

dataframe[(dataframe. WinningPo. * > '40')]

I want to print all the columns.

How can this be done? Thanks for your help in advance.

Answer 1

After going through the pandas documentation, I didn't find pancea. But, you can use the filter function in pandas to get a subset dataframe like this:

df.filter(regex='WinningPo.*',axis = 1)

And then apply your condition for each column