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fix ATCF column lengths #29

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Mar 29, 2022
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126 changes: 120 additions & 6 deletions stormevents/nhc/track.py
Original file line number Diff line number Diff line change
Expand Up @@ -548,7 +548,7 @@ def atcf(self) -> DataFrame:
atcf.loc[atcf['latitude'].str.contains('-'), 'latitude'] = (
atcf.loc[atcf['latitude'].str.contains('-'), 'latitude'] + 'S'
)
atcf['latitude'] = atcf['latitude'].str.strip('-').str.pad(4)
atcf['latitude'] = atcf['latitude'].str.strip('-').str.pad(5)

atcf['longitude'] = atcf['longitude'].astype('string')
atcf.loc[~atcf['longitude'].str.contains('-'), 'longitude'] = (
Expand All @@ -557,7 +557,7 @@ def atcf(self) -> DataFrame:
atcf.loc[atcf['longitude'].str.contains('-'), 'longitude'] = (
atcf.loc[atcf['longitude'].str.contains('-'), 'longitude'] + 'W'
)
atcf['longitude'] = atcf['longitude'].str.strip('-').str.pad(5)
atcf['longitude'] = atcf['longitude'].str.strip('-').str.pad(6)

atcf['max_sustained_wind_speed'] = (
atcf['max_sustained_wind_speed'].astype('string').str.pad(5)
Expand Down Expand Up @@ -602,15 +602,34 @@ def atcf(self) -> DataFrame:
atcf['radius_of_maximum_winds'] = (
atcf['radius_of_maximum_winds'].astype('string').str.pad(4)
)
atcf['gust_speed'] = atcf['gust_speed'].astype('string').str.pad(5)
atcf['gust_speed'] = atcf['gust_speed'].astype('string').str.pad(4)
atcf['eye_diameter'] = atcf['eye_diameter'].astype('string').str.pad(4)
atcf['subregion_code'] = atcf['subregion_code'].str.pad(4)
atcf['maximum_wave_height'] = atcf['maximum_wave_height'].astype('string').str.pad(4)
atcf['forecaster_initials'] = atcf['forecaster_initials'].str.pad(4)

atcf['direction'] = atcf['direction'].astype('string').str.pad(3)
atcf['direction'] = atcf['direction'].astype('string').str.pad(4)
atcf['speed'] = atcf['speed'].astype('string').str.pad(4)
atcf['name'] = atcf['name'].astype('string').str.pad(12, side='both')
atcf['name'] = atcf['name'].astype('string').str.pad(11, side='both')

if 'depth_code' in atcf.columns:
atcf['depth_code'] = atcf['depth_code'].astype('string').str.pad(2)
atcf['isowave'] = atcf['isowave'].astype('string').str.pad(3)
atcf['isowave_quadrant_code'] = (
atcf['isowave_quadrant_code'].astype('string').str.pad(4)
)
atcf['isowave_radius_for_NEQ'] = (
atcf['isowave_radius_for_NEQ'].astype('string').str.pad(5)
)
atcf['isowave_radius_for_SEQ'] = (
atcf['isowave_radius_for_SEQ'].astype('string').str.pad(5)
)
atcf['isowave_radius_for_NWQ'] = (
atcf['isowave_radius_for_NWQ'].astype('string').str.pad(5)
)
atcf['isowave_radius_for_SWQ'] = (
atcf['isowave_radius_for_SWQ'].astype('string').str.pad(5)
)

for column in atcf.select_dtypes(include=['string']).columns:
atcf[column] = atcf[column].str.replace(re.compile(str(integer_na_value)), '')
Expand All @@ -625,15 +644,110 @@ def fort_22(self) -> DataFrame:
:return: `fort.22` representation of the current track
"""

fort22 = self.atcf
fort22 = DataFrame(self.data.drop(columns='geometry'), copy=True)

fort22.drop(
columns=[field for field in EXTRA_ATCF_FIELDS.values() if field in fort22.columns],
inplace=True,
)

fort22.loc[:, ['longitude', 'latitude']] = (
fort22.loc[:, ['longitude', 'latitude']] * 10
)

float_columns = fort22.select_dtypes(include=['float']).columns
integer_na_value = -99999
for column in float_columns:
fort22.loc[pandas.isna(fort22[column]), column] = integer_na_value
fort22.loc[:, column] = fort22.loc[:, column].round(0).astype(int)

fort22['basin'] = fort22['basin'].str.pad(2)
fort22['storm_number'] = fort22['storm_number'].astype('string').str.pad(3)
fort22['datetime'] = fort22['datetime'].dt.strftime('%Y%m%d%H').str.pad(11)
fort22['record_type_number'] = fort22['record_type_number'].str.pad(3)
fort22['record_type'] = fort22['record_type'].str.pad(5)
fort22['forecast_hours'] = fort22['forecast_hours'].astype('string').str.pad(4)

fort22['latitude'] = fort22['latitude'].astype('string')
fort22.loc[~fort22['latitude'].str.contains('-'), 'latitude'] = (
fort22.loc[~fort22['latitude'].str.contains('-'), 'latitude'] + 'N'
)
fort22.loc[fort22['latitude'].str.contains('-'), 'latitude'] = (
fort22.loc[fort22['latitude'].str.contains('-'), 'latitude'] + 'S'
)
fort22['latitude'] = fort22['latitude'].str.strip('-').str.pad(4)

fort22['longitude'] = fort22['longitude'].astype('string')
fort22.loc[~fort22['longitude'].str.contains('-'), 'longitude'] = (
fort22.loc[~fort22['longitude'].str.contains('-'), 'longitude'] + 'E'
)
fort22.loc[fort22['longitude'].str.contains('-'), 'longitude'] = (
fort22.loc[fort22['longitude'].str.contains('-'), 'longitude'] + 'W'
)
fort22['longitude'] = fort22['longitude'].str.strip('-').str.pad(5)

fort22['max_sustained_wind_speed'] = (
fort22['max_sustained_wind_speed'].astype('string').str.pad(5)
)
fort22['central_pressure'] = fort22['central_pressure'].astype('string').str.pad(5)
fort22['development_level'] = fort22['development_level'].str.pad(3)
fort22['isotach_radius'] = fort22['isotach_radius'].astype('string').str.pad(4)
fort22['isotach_quadrant_code'] = fort22['isotach_quadrant_code'].str.pad(4)
fort22['isotach_radius_for_NEQ'] = (
fort22['isotach_radius_for_NEQ'].astype('string').str.pad(5)
)
fort22['isotach_radius_for_SEQ'] = (
fort22['isotach_radius_for_SEQ'].astype('string').str.pad(5)
)
fort22['isotach_radius_for_NWQ'] = (
fort22['isotach_radius_for_NWQ'].astype('string').str.pad(5)
)
fort22['isotach_radius_for_SWQ'] = (
fort22['isotach_radius_for_SWQ'].astype('string').str.pad(5)
)

fort22['background_pressure'].fillna(method='ffill', inplace=True)
fort22.loc[
~pandas.isna(self.data['central_pressure'])
& (self.data['background_pressure'] <= self.data['central_pressure'])
& (self.data['central_pressure'] < 1013),
'background_pressure',
] = '1013'
fort22.loc[
~pandas.isna(self.data['central_pressure'])
& (self.data['background_pressure'] <= self.data['central_pressure'])
& (self.data['central_pressure'] < 1013),
'background_pressure',
] = (self.data['central_pressure'] + 1)
fort22['background_pressure'] = (
fort22['background_pressure'].astype(int).astype('string').str.pad(5)
)

fort22['radius_of_last_closed_isobar'] = (
fort22['radius_of_last_closed_isobar'].astype('string').str.pad(5)
)
fort22['radius_of_maximum_winds'] = (
fort22['radius_of_maximum_winds'].astype('string').str.pad(4)
)
fort22['gust_speed'] = fort22['gust_speed'].astype('string').str.pad(5)
fort22['eye_diameter'] = fort22['eye_diameter'].astype('string').str.pad(4)
fort22['subregion_code'] = fort22['subregion_code'].str.pad(4)
fort22['maximum_wave_height'] = (
fort22['maximum_wave_height'].astype('string').str.pad(4)
)
fort22['forecaster_initials'] = fort22['forecaster_initials'].str.pad(4)

fort22['direction'] = fort22['direction'].astype('string').str.pad(3)
fort22['speed'] = fort22['speed'].astype('string').str.pad(4)
fort22['name'] = fort22['name'].astype('string').str.pad(12, side='both')

fort22['record_number'] = (
(self.data.groupby(['datetime']).ngroup() + 1).astype('string').str.pad(4)
)

for column in fort22.select_dtypes(include=['string']).columns:
fort22[column] = fort22[column].str.replace(re.compile(str(integer_na_value)), '')

return fort22

@property
Expand Down
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