8080labs

import plotly.graph_objs as go
import ipywidgets as widgets


def rebinnable_interactive_histogram(series, initial_bin_width=10):
    figure_widget = go.FigureWidget(
        data=[go.Histogram(x=series, xbins={"size": initial_bin_width})]
    )

    bin_slider = widgets.FloatSlider(

zaloogarcia

from pyspark.sql.types import *

# Auxiliar functions
# Pandas Types -> Sparks Types
def equivalent_type(f):
  if f == 'datetime64[ns]': return DateType()
  elif f == 'int64': return LongType()
  elif f == 'int32': return IntegerType()
  elif f == 'float64': return FloatType()
  else: return StringType()