Falcon Eye

Suite of tools for Data Exploration

Designed for Airmen by Airmen

TOOLS IN DEVELOPLMENT

Dictionary/List Walk

from FalconEye import Walk
Walk(object).items #returns all found values

Walk(object)

Parameters

• object - List/Dict like object for reading

Dictionary Flatten

from FalconEye import Flatten
Flatten(object).items #returns all found values in a lowest level dict

Flatten(object)

Parameters

• object - Dict like object for reading

FalconFrame()

Parameters

• object - [Dict] like object or Pandas DataFrame for reading

from FalconEye import FalconFrame
import pandas as pd

df = FalconFrame(object)

Attributes:

• .df - Pandas DataFrame

Methods:

• .transform() Transform to a new dataframe

from FalconEye import FalconFrame
import pandas as pd
import datetime as dt
import random


fakeData2 = [
    {
        "date": dt.datetime.now(),
        "start_shift": dt.time(random.randint(1,23), 0, 0),
        "end_shift": dt.time(random.randint(1,23), 0, 0),
        "user": random.choice(["Mathieu", "Tyler", "Josh", "David"]),
        "total_hours": 8
    }
    for i in range(40)
]

def callback(column, value):
    newRow = {
        "time_frame": column.split("_")[0],
        "time": value
    }
    return newRow

frame = FalconFrame(fakeData2)
newFrame = frame.transform(pk="uuid", fields=["start_shift", "end_shift"], callback=callback) # type: ignore

Initial DataFrame

Transformed DataFrame