Pandas 如何使pd.read_csv read'；空'；作为np.nan？

我有一个csv文件：

Date,Open,High,Low,Close,Adj Close,Volume
1980-12-12,0.513393,0.515625,0.513393,0.513393,0.023106,117258400
1980-12-15,0.488839,0.488839,0.486607,0.486607,0.021900,43971200
1980-12-16,0.453125,0.453125,0.450893,0.450893,0.020293,26432000
1980-12-17,0.462054,0.464286,0.462054,0.462054,0.020795,21610400
1980-12-18,0.475446,0.477679,0.475446,0.475446,0.021398,18362400
1980-12-19,0.504464,0.506696,0.504464,0.504464,0.022704,12157600
1980-12-22,null,null,null,null

pd.read\u csv可以将csv读取到数据帧中，但它不能将空值传输到np.nan，而是将所有内容作为str读取

我可以在以后的过程中手动完成这项工作，但列类型的更改很麻烦，因为我需要逐个区分int和float，有没有办法使用read_csv将null作为np.nan处理

提前谢谢

pd.read_csv(na_values = 'null', sep = ',')