plans.parsers.inmet#
Parse data from INMET
files (Brazillian Meteorological Office)
Overview#
# todo [major docstring improvement] – overview Mauris gravida ex quam, in porttitor lacus lobortis vitae. In a lacinia nisl. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas.
Example#
Classes
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Parser object for |
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Parser object for |
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- class plans.parsers.inmet._StationINMET_(name='MyStationINMET')[source]#
Bases:
object
This is a base object for parsing Inmet Stations datasets
Objects downstream will use or overwrite this methods
- __init__(name='MyStationINMET')[source]#
Initialization method
- Parameters:
name (str) – name of station
- _metadata_util()[source]#
Utility method for naming conversions
- Returns:
utility dictionaries
- Return type:
dict, dict
- _standardize_metadata_fields(metadata)[source]#
Utility method for standardizing metadata fields
- Parameters:
metadata (dict) – dictionary of incoming metadata
- Returns:
new standard metatada dictionary
- Return type:
dict
- _get_columns_gls()[source]#
Retrieve the glossary mapping and its mirror.
- Returns:
A tuple containing the glossary mapping and its mirror.
- Return type:
tuple[dict, dict]
- get_glossary()[source]#
Generate a glossary DataFrame from the stored glossary mapping.
- Returns:
A DataFrame containing field names and their source descriptions.
- Return type:
class.`pandas.DataFrame`
- fix_text(text, remove_spaces=False)[source]#
Standardize text by converting to uppercase and replacing specific characters.
- Parameters:
text (str) – The inputs text to be processed.
remove_spaces (bool, optional) – Whether to remove spaces from the text.
- Returns:
The processed text.
- Return type:
str
- read_metadata(file_path)[source]#
Read station metadata from a file and return it as a dictionary.
- Parameters:
file_path (str) – Path to the metadata file.
- Returns:
Dictionary containing metadata fields and values.
- Return type:
dict
- load_metadata(file_path)[source]#
Load station metadata from a file and store it in a DataFrame.
- Parameters:
file_path (str) – Path to the metadata file.
- Returns:
None
- Return type:
None
- read_data(file_path)[source]#
read all data from file
- Parameters:
file_path (str) – file path
- Returns:
pandas dataframe
- Return type:
class.`pandas.DataFrame`
- load_data(file_path)[source]#
Load data from a file and update the instance.
- Parameters:
file_path (str) – Path to the data file.
- Returns:
None
- Return type:
None
- export_data(folder, append_id=True)[source]#
Export the data to a CSV file.
- Parameters:
folder (str) – Folder where the file will be saved.
append_id (bool, optional) – Whether to append the station ID to the filename.
- Returns:
Path to the exported file.
- Return type:
str
- export_metadata(folder)[source]#
Export station metadata to a CSV file.
- Parameters:
folder (str) – Folder where the file will be saved.
- Returns:
Path to the exported metadata file.
- Return type:
str
- class plans.parsers.inmet._Conventional_(name='MyConvetional')[source]#
Bases:
_StationINMET_
- class plans.parsers.inmet.ConventionalHourly(name='MyConvetionalHourly')[source]#
Bases:
_Conventional_
- class plans.parsers.inmet.ConventionalDaily(name='MyConvetionalDaily')[source]#
Bases:
_Conventional_
Parser object for
INMET
Conventional Stations - Daily measurements.
- class plans.parsers.inmet._Automatic_(name='MyAutomatic')[source]#
Bases:
_StationINMET_
Base Parser object for automatic INMET stations
- class plans.parsers.inmet.Automatic(name='MyAutomatic')[source]#
Bases:
_Automatic_
Parser object for
INMET
Automatic Stations provided by any date range.