"Number of rows seen in the dataframe"),
EventMetadataEntry.text(str(dataframe.columns), "columns",
"Keys of columns seen in the dataframe"),
]
WeatherDataFrameSchema = [
PandasColumn.datetime_column("time", unique=True),
PandasColumn.string_column("summary"),
PandasColumn.categorical_column(
"icon",
categories={"clear-day", "cloudy", "fog", "partly-cloudy-day",
"rain"}),
PandasColumn.integer_column("sunriseTime", min_value=0),
PandasColumn.integer_column("sunsetTime", min_value=0),
PandasColumn.float_column("precipIntensity", min_value=0.0, max_value=1.0),
PandasColumn.float_column("precipIntensityMax",
min_value=0.0,
max_value=1.0),
PandasColumn.float_column("precipProbability",
min_value=0.0,
max_value=1.0),
PandasColumn.float_column("temperatureHigh",
min_value=40.0,
max_value=100.0),
PandasColumn.integer_column("temperatureHighTime", min_value=0),
PandasColumn.float_column("temperatureLow",
min_value=30.0,
max_value=100.0),
PandasColumn.integer_column("temperatureLowTime", min_value=0),
PandasColumn.float_column("dewPoint", min_value=10.0, max_value=70.0),
'Number of rows seen in the dataframe'),
EventMetadataEntry.text(str(dataframe.columns), 'columns',
'Keys of columns seen in the dataframe'),
]
WeatherDataFrameSchema = [
PandasColumn.datetime_column('time', unique=True),
PandasColumn.string_column('summary'),
PandasColumn.categorical_column(
'icon',
categories={'clear-day', 'cloudy', 'fog', 'partly-cloudy-day',
'rain'}),
PandasColumn.integer_column('sunriseTime', min_value=0),
PandasColumn.integer_column('sunsetTime', min_value=0),
PandasColumn.float_column('precipIntensity', min_value=0.0, max_value=1.0),
PandasColumn.float_column('precipIntensityMax',
min_value=0.0,
max_value=1.0),
PandasColumn.float_column('precipProbability',
min_value=0.0,
max_value=1.0),
PandasColumn.float_column('temperatureHigh',
min_value=40.0,
max_value=100.0),
PandasColumn.integer_column('temperatureHighTime', min_value=0),
PandasColumn.float_column('temperatureLow',
min_value=30.0,
max_value=100.0),
PandasColumn.integer_column('temperatureLowTime', min_value=0),
PandasColumn.float_column('dewPoint', min_value=10.0, max_value=70.0),
