Some obscure variables are not parsed into the DataFrame

[blaylockbk]

There are some obscure variables that are not parsed into the DataFrame. This is because the JSON schema didn't easily fit into the long-form DataFrame.

For now, I print WARNING and the variable name not parsed...

import synoptic
df = synoptic.TimeSeries(recent="6h", stid="KSLC").df()

WARNING: Unknown schema for col='pressure_tendency_set_1' schema=List(Null)
WARNING: Unknown schema for col='air_temp_high_6_hour_set_1' schema=List(Null)
WARNING: Unknown schema for col='air_temp_low_6_hour_set_1' schema=List(Null)
WARNING: cloud_layer_1_set_1d not implemented.
WARNING: cloud_layer_2_set_1d not implemented.
WARNING: cloud_layer_3_set_1d not implemented.

df = synoptic.TimeSeries(recent="6h", stid="KMRY").df()

WARNING: Unknown schema for col='pressure_tendency_set_1' schema=List(Null)
WARNING: Unknown schema for col='weather_cond_code_set_1' schema=List(Null)
WARNING: Unknown schema for col='precip_accum_one_hour_set_1' schema=List(Null)
WARNING: Unknown schema for col='precip_accum_six_hour_set_1' schema=List(Null)
WARNING: Unknown schema for col='air_temp_high_6_hour_set_1' schema=List(Null)
WARNING: Unknown schema for col='air_temp_low_6_hour_set_1' schema=List(Null)
WARNING: Unknown schema for col='weather_condition_set_1d' schema=List(Null)
WARNING: cloud_layer_1_set_1d not implemented.