使用带有范围的列表的python熊猫数据框的条件

Question

How can I create an if conditions in a data frame that includes a list with a range between the elements? I want a new smaller data frame that is in a range of certain values. Like x element of [2,4] and save it in a new data frame.

For example:

x y

1 4 
2 7
3 8
4 11
5 -15
6 13

My new table should be:

df[df[x] <= [2,4]]

x y
2 7
3 8 
4 11

I tried the following:

df[df['time']<=[1212,1220].to_csv(path_or_buf=DATAFILE_OUTPUT, index=True, sep='\t', columns=out_columns, decimal='.')

But got a syntax error:

SyntaxError: unexpected EOF while parsing

Answer 1

Use Series.between for boolean mask:

df = df[df['x'].between(2,4)]
print (df)
   x   y
1  2   7
2  3   8
3  4  11

It working same like 2 conditions chained by & for bitwise AND :

df = df[(df['x'] >= 2) & (df['x'] <= 4)]