jade.basic.pandas.stats.calculate_stddev(df, x, y, hue=None)[source]

Calcuates standard deviations for a normal distribution (Numerical data) over X and Hue categories.

If hue is given, the hue column will be added, and the overall will be of ‘ALL’

Example DataFrame output (x=’exp’, y= ‘length_recovery_freq’, hue = ‘cdr’:

SD cdr exp y

20 6.739596 H2 ALL length_recovery_freq 21 7.373650 H2 min.remove_antigen-F length_recovery_freq 22 6.400637 ALL min.remove_antigen-T length_recovery_freq

Parameters:
  • df – pandas.DataFrame
  • x – str
  • y – str
  • total_column – str
  • hue – str
Return type:

pandas.DataFrame
jade.basic.pandas.stats.calculate_stddev_binomial_distribution(df, x, y, total_column, y_mean_column, hue=None)[source]

Calculates standard deviations for a binomial distribution (like experiment True/False values) over X and Hue categories..

Typically used for bar-plot.

If hue is given the hue column will be added, and the overall will be of ‘ALL’, plus that of Hue

Example DataFrame output (x=’exp’, y= ‘length_recovery_freq’, hue = ‘cdr’:

SD cdr exp y

20 6.739596 H2 ALL length_recovery_freq 21 7.373650 H2 min.remove_antigen-F length_recovery_freq 22 6.400637 ALL min.remove_antigen-T length_recovery_freq

Parameters:
  • df – pandas.DataFrame
  • x – str
  • y – str
  • total_column – str
  • hue – str
Return type:

pandas.DataFrame