Load csv tracks files#

Many track data, including output from TempestExtremes, are provided in a csv format, where each row is an observation (cyclone point in space and time), and each column is an attribute.

[1]:

import huracanpy

[2]:

# Example csv file
filename = huracanpy.example_csv_file
filename

[2]:

'/home/docs/checkouts/readthedocs.org/user_builds/huracanpy/envs/v1-doc/lib/python3.12/site-packages/huracanpy/_data/example_data/sample.csv'

[3]:

# File content
with open(filename, "r") as csv:
    for i in range(5):
        print(csv.readline())

track_id, year, month, day, hour, i, j, lon, lat, slp, zs, wind10

0, 1980, 1, 6, 6, 482, 417, 120.500000, -14.250000, 9.987638e+04, -1.071180e+01, 1.464815e+01

0, 1980, 1, 6, 12, 476, 419, 119.000000, -14.750000, 9.981100e+04, -1.610522e+01, 1.398848e+01

0, 1980, 1, 6, 18, 476, 420, 119.000000, -15.000000, 9.953694e+04, -4.020874e+01, 1.369575e+01

0, 1980, 1, 7, 0, 477, 420, 119.250000, -15.000000, 9.941456e+04, -5.043206e+01, 1.797812e+01


[4]:

# Load with huracanpy
huracanpy.load(filename, source="csv")

[4]:

<xarray.Dataset> Size: 7kB
Dimensions:   (record: 99)
Dimensions without coordinates: record
Data variables:
    track_id  (record) int64 792B 0 0 0 0 0 0 0 0 0 0 0 ... 2 2 2 2 2 2 2 2 2 2
    i         (record) int64 792B 482 476 476 477 478 ... 229 230 234 241 249
    j         (record) int64 792B 417 419 420 420 422 ... 501 509 517 528 542
    lon       (record) float64 792B 120.5 119.0 119.0 119.2 ... 58.5 60.25 62.25
    lat       (record) float64 792B -14.25 -14.75 -15.0 ... -39.25 -42.0 -45.5
    slp       (record) float64 792B 9.988e+04 9.981e+04 ... 9.747e+04 9.754e+04
    zs        (record) float64 792B -10.71 -16.11 -40.21 ... -218.5 -211.5
    wind10    (record) float64 792B 14.65 13.99 13.7 17.98 ... 23.69 23.96 23.4
    time      (record) datetime64[ns] 792B 1980-01-06T06:00:00 ... 1980-01-30...

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