根据条件选择 pandas Dataframe 中的行不起作用

Question

I have a dataframe with a "Timestamp" column like this:

df[Timestamp]

0            1.341709
1            1.343688
2            1.344503
3            1.344593
4            1.344700
              ...    
1263453    413.056745
1263454    413.056836
1263455    413.056945
1263456    413.057046
1263457    413.057153
Name: Timestamp, Length: 1263458, dtype: float64

Now i have two variables to define a start and end of an interval like so:

start = 10
end = 15

To select all rows in the Dataframe where the Timestamp lies between "start" and "end" I use a query approach:

df_want = df.query("@start <= Timestamp < @end")

This gives me a Typeerror though

TypeError: '<=' not supported between instances of 'int' and 'type'

Why does this not work, shouldnt Timestamp be of type 'float64'? Why is it just 'type'?

Answer 1

You need to do the following:

df_want = df[df['Timestamp'].between(start,end)]

Answer 2

With the variables

df[(df['Timestamp'] >= start) & (df['Timestamp'] <= end)]

With the values harcoded:

df[(df['Timestamp'] >= 15) & (df['Timestamp'] <= 30)]