format-seismo 0.1.0

A Python package to format seismic data

format_seismo

format_seismo is a package for preprocessing seismological data. It utilizes functions from theobspy ¹ and numpy ² libraries.

Instalation

Install from PyPI:

pip install format_seizmo

Import

Import the format_seismo library in python code:

import format_seismo as fs

Functions

solohr

Formats seismological data gathered by a SmartSolo portable seismograph into an hourly time-step format. SmartSolo instruments store seismological data in MiniSEED format (.mseed extension). Call the function solohr() with the following arguments:

fs.solohr(IN_path, OUT_path=None, station_code='CODE', station_net='NET', language='cro', silent=False)

• IN_path: Path to a folder containing all .mseed files of a single smartsolo station.

• OUT_path: (Optional) Path to the folder where formatted .mseed files will be saved. If set to None (default value), output will be stored in a newly created subdirectory /hourly_formatted_data inside IN_path.

• station_code: (Optional) Deault is 'CODE'. Used in the filename and metadata of the formatted .mseed files.

• staton_net: (Optional) Default is 'NET'. Used in metadata of the formatted .mseed files.

• language: (optional) Default is 'cro' (Croatian). Language used in naming folders in the output path. Supported languages are:

  • deu German
  • spa Spanish
  • fra French
  • zho Chinese (Simplified)
  • eng English

• silent: (optional) If set to True, suppresses terminal output. Default is False.

Note
This function processes data for one station at a time. If you have multiple stations, wrap this function in a loop.

Example
Importing and calling the solohr() function:

import format_seismo as fs
fs.solohr('/mnt/raw_solo_data', '/mnt/formatted_solo_data', station_code='STAT', station_net='NET', language='eng')

Part of the function output:

UserWarning: Warning: Default network code 'NET' is used. Please provide a valid network code.
Working on station: STAT, network: NET, component: Z
Directory  mnt/formatted_solo_data/year_2025/month_07/day_04/hour_17  created.
Formatted file stat_z_250_20250704_1700.mseed
Directory  mnt/formatted_solo_data/year_2025/month_07/day_04/hour_18  created.
Formatted file stat_z_250_20250704_1800.mseed
Directory  mnt/formatted_solo_data/year_2025/month_07/day_04/hour_19  created.
Formatted file stat_z_250_20250704_1900.mseed
Directory  mnt/formatted_solo_data/year_2025/month_07/day_04/hour_20  created.
Formatted file stat_z_250_20250704_2000.mseed
Directory  mnt/formatted_solo_data/year_2025/month_07/day_04/hour_21  created.
Formatted file stat_z_250_20250704_2100.mseed
...

Part of the output directory tree:

user@DESKTOP:/mnt/formatted_solo_data$ tree
.
└── year_2025
    └── month_07
        ├── day_04
        │   ├── hour_17
        │   │   ├── stat_e_250_20250704_1700.mseed
        │   │   ├── stat_n_250_20250704_1700.mseed
        │   │   └── stat_z_250_20250704_1700.mseed
        │   ├── hour_18
        │   │   ├── stat_e_250_20250704_1800.mseed
        │   │   ├── stat_n_250_20250704_1800.mseed
        │   │   └── stat_z_250_20250704_1800.mseed
        │   ├── hour_19
        │   │   ├── stat_e_250_20250704_1900.mseed
        │   │   ├── stat_n_250_20250704_1900.mseed
        │   │   └── stat_z_250_20250704_1900.mseed
        │   ├── hour_20
        │   │   ├── stat_e_250_20250704_2000.mseed
        │   │   ├── stat_n_250_20250704_2000.mseed
        │   │   └── stat_z_250_20250704_2000.mseed
        │   ├── hour_21
        │   │   ├── stat_e_250_20250704_2100.mseed
        │   │   ├── stat_n_250_20250704_2100.mseed
        │   │   └── stat_z_250_20250704_2100.mseed
        │   ├── hour_22
        │   │   ├── stat_e_250_20250704_2200.mseed
        │   │   ├── stat_n_250_20250704_2200.mseed
        │   │   └── stat_z_250_20250704_2200.mseed
        │   └── hour_23
        │       ├── stat_e_250_20250704_2300.mseed
        │       ├── stat_n_250_20250704_2300.mseed
        │       └── stat_z_250_20250704_2300.mseed
        ├── day_05
        │   ├── hour_00
        │   │   ├── stat_e_250_20250705_0000.mseed
        │   │   ├── stat_n_250_20250705_0000.mseed
        │   │   └── stat_z_250_20250705_0000.mseed
...

References

1. ObsPy - Python framework for processing seismological data ↩

2. NumPy - Fundamental package for scientific computing with Python ↩