Had a look at the code to see the accepted arguments for matrix() and bar() functions.
In in addition to labels and fontsize it would be really useful if there was another argument to change the angle of the label as opposed to just the default 45 degrees as, for larger datasets, this makes it quite difficult to clearly see which label corresponds to which bar.
Option for entering either 180 or 45 degrees into a rotation argument would make this a whole lot easier.
Superb package and allowed my data team to visualise missing data. Bravo!
def matrix(df,
filter=None, n=0, p=0, sort=None,
figsize=(25, 10), width_ratios=(15, 1), color=(0.25, 0.25, 0.25),
fontsize=16, labels=None, sparkline=True, inline=False,
freq=None, ax=None):
def bar(df, figsize=(24, 10), fontsize=16, labels=None, log=False, color='dimgray', inline=False,
filter=None, n=0, p=0, sort=None, ax=None):
Had a look at the code to see the accepted arguments for matrix() and bar() functions.
In in addition to
labelsandfontsizeit would be really useful if there was another argument to change the angle of the label as opposed to just the default 45 degrees as, for larger datasets, this makes it quite difficult to clearly see which label corresponds to which bar.Option for entering either 180 or 45 degrees into a rotation argument would make this a whole lot easier.
Superb package and allowed my data team to visualise missing data. Bravo!