The objective is create a package that help to usa data of Agencia Nacional de Águas (ANA), Instituto Nacional de Meteorologia (INEMET), Merge, Brazilian Daily Weather Gridded Data (BR-DWGD) and Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM). All the data above is from Brazil, minus the IDEAM that is from Colombia.
- ANA [https://www.gov.br/ana/pt-br] or [https://www.snirh.gov.br/hidroweb/apresentacao]
- INEMET [https://portal.inmet.gov.br]
- MERGE [http://ftp.cptec.inpe.br/modelos/tempo/MERGE/GPM/DAILY/]
- BR-DWGD [https://github.com/AlexandreCandidoXavier/BR-DWGD]
- IDEAM [http://www.ideam.gov.co]
Usage
pip install AgenciBr
In python:
Import Ana
from AgenciBr import Ana.Ana
data = Ana.Ana('path file')
""" Properties """
data.dataset # return the dataset
data.code #Return the
data.startdate #return the first date from dataset
data.enddate #return the end date from dataset
data.len #return the length from dataset
data.type_data #return the data informations (precipitation, temperature, t_maxmin, wind, ...)
data.type #return if data is original, format1, format2 ...
Import Inemet
from AgenciBr import Inemet
data = Inemet.Inemet('path file')
Import Merge
from AgenciBr import Merge
data = Merge.Merge('path file')
Import Alexandre
from AgenciBr import Alexandre
data = Alexandre.Alexandre('path file')
Import Ideam
from AgenciBr import Ideam
data = Ideam.Ideam('path file')
Suported functions
Agenci | Precipitacion | vazão | Temperature(mean) | Temperature (minimun, maximum) |
---|---|---|---|---|
Ana | [x] | [ ] | [ ] | [ ] |
Inemet | [x] | [x] | ||
Merge | [ ] | [ ] | [ ] | [ ] |
Alexandre | [ ] | [ ] | [ ] | [ ] |
Ideam | [ ] | [ ] | [ ] | [ ] |
From internal function we construct function1, functon2
We work with distints data and dataframe models, bacause this, was create the function format1 in each agenci. This function have three param:
- Comma_to_dot: change the comma of all file to dot and to float number
- grow: Change the dataframe from de lower to larger
- years: is a vector of two numbers (year1, year2) that you wish be the start and end, the year can be the future
The principal objective of this function is
- put date that can be jumped
- organize the file from to smaler to larger based in time
- Change the ',' to '.'
- Remove same values from file
- Change the name of time variable to time
- padronize a file to work with Ana, Inemet, Merge and etc
- have option to select a series of year start and year end. The date that not exist, are created and set NaN
The outfile have format precipitation
time pr
1997-07-01 0.1
1997-07-02 0.3
....
...
...
2020-01-01 0.3
2020-01-02 0.0
The outfile have format temperature
time max min
0 1961-01-01 NaN NaN
1 1961-01-02 NaN NaN
2 1961-01-03 NaN NaN
3 1961-01-04 NaN NaN
4 1961-01-05 NaN NaN
... ... ... ...
22276 2021-12-28 28.7 21.6
22277 2021-12-29 29.3 21.6
22278 2021-12-30 26.9 21.8
22279 2021-12-31 32.3 21.6
22280 2022-01-01 27.6 23.8
[22281 rows x 3 columns]
We work with datasets, to padronize, we create the function format2 that exists only when you are working with dataset files.
Indices | Ana | Inemet | Xavier | Merge | IDEAM |
---|---|---|---|---|---|
TXX | [X] | [X] | |||
TNX | [X] | [X] | |||
TX90P | [X] | [X] | |||
TN90P | [X] | [X] | |||
CDD | [X] | ||||
CWD | [X] | ||||
PRCPTOT | [X] | [X] | |||
RX5DAY | [X] | [X] | |||
TN10P | |||||
FD | |||||
SU | |||||
ETR | |||||
RNNMM | |||||
R99P | |||||
R95P | |||||
R10MM | |||||
R20MM | |||||
R99PTOT |