from pprint import pprint
import numpy as np
import pandas as pd
import visions as v
from visions.application.summaries import CompleteSummary
datetime_series = pd.Series([
pd.datetime(2010, 1, 1),
pd.datetime(2010, 8, 2),
pd.datetime(2011, 2, 1),
np.datetime64("NaT"),
])
# Generate a summary
summarizer = CompleteSummary()
summary = summarizer.summarize_series(datetime_series, v.DateTime)
pprint(summary)
from pprint import pprint
import numpy as np
import pandas as pd
import visions as v
from visions.application.summaries import CompleteSummary
category_series = pd.Series(
pd.Categorical(
[True, False, np.nan, "test"], categories=[True, False, "test", "missing"]
)
)
# Generate a summary
summarizer = CompleteSummary()
summary = summarizer.summarize_series(category_series, v.Categorical)
pprint(summary)
import numpy as np
import pandas as pd
import visions.types as vt
from visions.application.summaries import CompleteSummary
integer_series = pd.Series([1, 2, 3, 4, 5, -100000, np.nan], dtype="Int64")
summarizer = CompleteSummary()
summary = summarizer.summarize_series(integer_series, vt.Integer)
print(summary)
# Output:
# {
# "inf_count": 0,
# "mean": -16664.166666666668,
# "std": 40826.05381575185,
# "var": 1666766670.1666665,
# "max": 5.0,
# "min": -100000.0,
# "median": 2.5,
# "kurt": 5.999999974801513,
# "skew": -2.449489736169953,
# "sum": -99985.0,
# "mad": 27778.611111111113,
# "quantile_5": -74999.75,
# "quantile_25": 1.25,
# "quantile_50": 2.5,
# "quantile_75": 3.75,
# "quantile_95": 4.75,
# "iqr": 2.5,
import pandas as pd
import visions as v
from visions.application.summaries import CompleteSummary
string_series = pd.Series(["orange", "apple", "pear", "🂶", "🃁", "🂻"])
summarizer = CompleteSummary()
summary = summarizer.summarize_series(string_series, v.String)
print(summary)
# Output:
# {
# "n_unique": 6,
# "length": {1: 3, 6: 1, 5: 1, 4: 1},
# "category_short_values": {
# "o": "Ll",
# "r": "Ll",
# "a": "Ll",
# "n": "Ll",
# "g": "Ll",
# "e": "Ll",
# "p": "Ll",
# "l": "Ll",
# "🂶": "So",
# "🃁": "So",
# "🂻": "So",
# },
# "category_alias_values": {
# "o": "Lowercase_Letter",
# "r": "Lowercase_Letter",