gsodpy
Python module to download and work with GSOD data from NOAA
Usage Guide:
Dowload All Data
import gsodpy.gsodDownloader as gdown
gdown.get_data(directory="noaa_gsod")
Process Desired Time Series
import gsodpy.gsodProcess as gsod
import pandas as pd
import datetime
num_years = 10
num_extremes = 30
target_day = datetime.datetime(2020,3,20)
years, files = gsod.get_years_files(num_years)
df, df_day = gsod.process_all_years(files, target_day)
Save Processed DataFrame
df.to_pickle("df_monthly.pkl")
df_day.to_pickle("df_daily.pkl")
df = pd.read_pickle("df_monthly_fin.pkl")
df_day = pd.read_pickle("df_daily_fin.pkl")
Create Extremes DataFrame
If we want to find the coldest and warmest stations on a given day we can use the create_extremes() function
extremes = gsod.create_extremes(df_day, df_day['DATE'][0], 40)
Release files for gsodpy 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gsodpy-0.0.1.tar.gz | 4.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gsodpy-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.8 kB
Release files / gsodpy-0.0.1.tar.gz
| Download URL | gsodpy-0.0.1.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.1
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Release files / gsodpy-0.0.1-py3-none-any.whl
| Download URL | gsodpy-0.0.1-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/56.0.0 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.1
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