GabrielSGoncalves

from typing import Union, Dict
from io import BytesIO, StringIO
import json
import pandas as pd
import requests
from pydrive2.auth import GoogleAuth
from pydrive2.drive import GoogleDrive

def read_private_file_from_gdrive(
    file_url: str, file_format: str, google_auth: GoogleAuth, **kwargs

GabrielSGoncalves

import pandas as pd
import requests
import gspread


def read_private_sheets(
    credentials_json: str, sheet_url: str, worksheet: int = 0
) -> pd.DataFrame:
    """Read a private available Google Sheets as a Pandas Dataframe.

GabrielSGoncalves

from io import BytesIO
import requests
import pandas as pd

def read_public_sheets(file_url: str) -> pd.DataFrame:
    """Read a publicly available Google Sheets file as a Pandas Dataframe.

    Parameters
    ----------
    file_url : str

GabrielSGoncalves

from typing import Union, Dict
from io import BytesIO
from bson import json_util
import pandas as pd
import requests
from google.cloud import storage
from google.oauth2 import service_account


def read_file_from_gcloud_storage(

GabrielSGoncalves

import pandas as pd
import requests
import gspread

def read_private_spreadsheets(
    credentials_json: str, sheet_key: str, worksheet: int = 0
) -> pd.DataFrame:
    """Read a private available Google Spreadsheet as a Pandas Dataframe.

    Parameters

GabrielSGoncalves

from typing import Union, Dict
from io import StringIO
import json
import pandas as pd
import requests

def read_public_file_from_gdrive(
    file_url: str, file_format: str, **kwargs
) -> Union[pd.DataFrame, Dict]:
    """Read public files stored in a Google Drive.

GabrielSGoncalves

import pickle

# To pickle a Scorecard object
with open('scorecard_model.pickle', 'wb') as pfile:
   pickle.dump(scorecard, pfile)
    
# To unpickle it
with open("scorecard_model.pickle", 'rb') as scorecard_pickle:
    scorecard_production = pickle.load(scorecard_pickle)
    

GabrielSGoncalves

from optbinning.scorecard.plots import plot_ks, plot_auc_roc

# Assign score and predicted probability to test dataset
df_application_test.loc[:,"score"] = scorecard.score(df_application_test)

# Kolmogorov_Smirnov Plot
plot_ks(df_application_test.TARGET, df_application_test.score)

# ROC-AUC plot
plot_auc_roc(df_application_test.TARGET, df_application_test.score)

GabrielSGoncalves

GabrielSGoncalves

scorecard_summary = scorecard.table(style="detailed").round(3)
scorecard_summary.to_csv('scorecard_table_detailed.csv', index=False)