code: def dropna(df: pd.DataFrame) -> pd.DataFrame:
      """Drop rows with "Nans" values"""
      df = df.copy()
      number_cols = df.select_dtypes(include=np.number).columns.tolist()
      df[number_cols] = df[number_cols][
          df[number_cols] < math.exp(709)
      ]  # big number
      df[number_cols] = df[number_cols][df[number_cols] != 0.0]
      df = df.dropna()
      return df
  
file_path: ta/ta/utils.py
imports: import math
  import numpy
  import pandas
label_desc: Use image node_id 1 for calling a global function with example usage: dropna(df) and returns: df