pandas

The following are useful pandas functions:

  • pandas.date_range(start=None, end=None, periods=None, freq='D', tz=None, normalize=False, name=None, closed=None): This function creates a fixed frequency date-time index
  • pandas.isnull(obj): This function finds NaN and None values
  • pandas.merge(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y'), copy=True): This function merges the DataFrame objects with a database-like join on columns or indices
  • pandas.pivot_table(data, values=None, rows=None, cols=None, aggfunc='mean', fill_value=None, margins=False, dropna=True): This function creates a spreadsheet-like pivot table as a pandas DataFrame
  • pandas.read_csv(filepath_or_buffer, ...

Get Python Data Analysis now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.

Start your free trial