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1. Get VIF plots Get VIF plots

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   def get_numeric_col_list(df):

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       import numpy as np

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       numerics = []

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       for col in df.columns:

2. Derives time descriptive columns usi... Derives time descriptive columns using a datetime column. Hours, minutes, intervals

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   def get_hour(data, dt_col:str):

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       data['hour'] = data[ dt_col ].astype('datetime64[ns]').dt.hour

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       return data

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   def get_minutes(data, dt_col:str):

3. gcm-demo gcm-demo Public

   Python

4. guide_to_ts guide_to_ts Public

   Python

5. make seasonality box plots with week... make seasonality box plots with weekly and monthly frequency

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   def make_seasonality_boxplot(df, ydata, period_col=None, cdata=None, log_y=False, title='', height=800, width=800):

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     import pandas as pd

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     import numpy as np

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     import plotly.express as px

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     from plotly.subplots import make_subplots

6. genshin_banner genshin_banner Public

   Python