connect and parse spd files
Project description
SPD API
Install
Install using:
pip install spd_api
This is a basic interface with the EA web files to extract data
We can choose a year and get a dataframe of the available files:
extract_spd_list(2020)
<style scoped>
.dataframe tbody tr th:only-of-type {
vertical-align: middle;
}
.dataframe tbody tr th {
vertical-align: top;
}
.dataframe thead th {
text-align: right;
}
</style>
Name | Date modified | File size | file_size | |
---|---|---|---|---|
file_date | ||||
2020-01-01 | MSS_311112019121100875_0X.ZIP | 02 Jan 2020 | 6,340 KB | 6340 |
2020-01-02 | MSS_11112020011100861_0X.ZIP | 02 Jan 2020 | 6,350 KB | 6350 |
2020-01-03 | MSS_21112020011100145_0X.ZIP | 05 Jan 2020 | 6,378 KB | 6378 |
2020-01-04 | MSS_31112020011100230_0X.ZIP | 06 Jan 2020 | 6,378 KB | 6378 |
2020-01-05 | MSS_41112020011100102_0X.ZIP | 05 Jan 2020 | 6,382 KB | 6382 |
... | ... | ... | ... | ... |
2020-12-27 | MSS_261112020121100745_0X.ZIP | 28 Dec 2020 | 6,375 KB | 6375 |
2020-12-28 | MSS_271112020121100873_0X.ZIP | 29 Dec 2020 | 6,382 KB | 6382 |
2020-12-29 | MSS_281112020121100340_0X.ZIP | 29 Dec 2020 | 6,389 KB | 6389 |
2020-12-30 | MSS_291112020121100051_0X.ZIP | 30 Dec 2020 | 6,390 KB | 6390 |
2020-12-31 | MSS_301112020121100813_0X.ZIP | 31 Dec 2020 | 6,388 KB | 6388 |
366 rows × 4 columns
More practically is to list a month and a year (due to size issues) and this will return the bus and branch data
month, year = 1 , 2022
spd_df = extract_spd_list(year)
await main_spd(spd_df.loc[f'{year}-{month}'], year)
( INTERVAL BRANCHNAME FROM_STATION TO_STATION \
0 2022-01-01 00:00:00 ABY MXT1MXT1 ABY ABY
1 2022-01-01 00:00:00 ABY T2 T2 ABY ABY
2 2022-01-01 00:00:00 ALB ALB_HEN3 1 ALB HEN
3 2022-01-01 00:00:00 ALB ALB_HPI1 1 ALB HPI
4 2022-01-01 00:00:00 ALB ALB_SVL1 1 ALB SVL
... ... ... ... ...
1077 2022-01-31 23:30:00 WTU T4 T4 WTU WTU
1078 2022-01-31 23:30:00 WVY MXT1MXT1 WVY WVY
1079 2022-01-31 23:30:00 WVY T1 T1 WVY WVY
1080 2022-01-31 23:30:00 WWD T1 T1 WWD WWD
1081 2022-01-31 23:30:00 WWD T2 T2 WWD WWD
FROM_MW TO_MW BRANCHLOSSES
0 0.000000 0.000000 0.00000
1 -4.597000 -4.606000 0.01446
2 -18.837000 -18.860001 0.02267
3 13.488000 13.478000 0.00905
4 14.881000 14.872000 0.00912
... ... ... ...
1077 19.447001 19.407000 0.06421
1078 0.000000 0.000000 0.00000
1079 2.808000 2.799000 0.01193
1080 -0.318000 -0.318000 0.00000
1081 -2.753000 -2.753000 0.00000
[1612512 rows x 7 columns],
INTERVAL ID_BUS ID_ST LOAD GENERATION
0 2022-01-01 00:00:00 100 MVE 0.000000 0.0000
1 2022-01-01 00:00:00 101 MVE 0.000000 0.0000
2 2022-01-01 00:00:00 102 RTO 0.000000 0.0000
3 2022-01-01 00:00:00 103 CBG 19.943001 0.0000
4 2022-01-01 00:00:00 104 CBG 0.000000 0.0000
.. ... ... ... ... ...
930 2022-01-31 23:30:00 95 ARI 0.000000 15.3333
931 2022-01-31 23:30:00 96 ARI 0.000000 15.3333
932 2022-01-31 23:30:00 97 ARI 0.000000 15.3333
933 2022-01-31 23:30:00 98 ARI 0.000000 0.0000
934 2022-01-31 23:30:00 99 MVE 0.000000 0.0000
[1392881 rows x 5 columns])
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
spd-api-0.0.9.tar.gz
(10.2 kB
view details)
Built Distribution
spd_api-0.0.9-py3-none-any.whl
(12.4 kB
view details)
File details
Details for the file spd-api-0.0.9.tar.gz
.
File metadata
- Download URL: spd-api-0.0.9.tar.gz
- Upload date:
- Size: 10.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | c4e12544bf24b8544757bd2462a09e39d4d768d522ebc2c38758ebd7f12d99f0 |
|
MD5 | 43df7b3362e35e546399ffc8a7898eb0 |
|
BLAKE2b-256 | ea7e60e5d5e1e23d89791085714ff31ada7ca203365dc8412fde46e129e03a50 |
File details
Details for the file spd_api-0.0.9-py3-none-any.whl
.
File metadata
- Download URL: spd_api-0.0.9-py3-none-any.whl
- Upload date:
- Size: 12.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.1 CPython/3.10.4
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 617b823572b1e7a6bbe717cd00d721ecb40e42f61548669bb7de218af3940835 |
|
MD5 | f03d6c2142283c62bc873403e572c001 |
|
BLAKE2b-256 | 02d75c907bf5d2c9b02e4ab709c6202943afcdeae683a7c435b0a4708e6c8c8c |