How to create a smaller dataset for a specific month

Suppose we have a file that contains historical weather temperature between years 1948 to 2024 in which we want to look at how January temperatures have changed over time.

import pandas
# Load a file that contains Los Angeles weather data
data = pandas.read_csv('LosAngelesWeather_1948-2024.csv', parse_dates=['date'])

# Keep only January temperatures
data = data[[d.month == 1 for d in data.date]].copy()
data


        date	precipitation	max_tmp	min_tmp	rain
0	1948-01-01	0.47	51	42	True
1	1948-01-02	0.59	45	36	True
2	1948-01-03	0.42	45	35	True
3	1948-01-04	0.31	45	34	True
4	1948-01-05	0.17	45	32	True
...	...	...	...	...	...
25229	2017-01-27	0.00	54	37	False
25230	2017-01-28	0.00	52	37	False
25231	2017-01-29	0.03	48	37	True
25232	2017-01-30	0.02	45	40	True
25233	2017-01-31	0.00	44	34	False

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