argopy.plot.bar_plot

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argopy.plot.bar_plot#

bar_plot(df: DataFrame, by: str = 'institution', style: str = 'argopy', with_seaborn: bool = True, **kwargs)[source]#

Create a bar plot for an Argo index dataframe

Pass a pandas.DataFrame as returned by a argopy.DataFetcher.index or argopy.ArgoIndex.to_dataframe

from argopy import DataFetcher
df = DataFetcher(src='gdac').region([-80,-30,20,50,'2021-01','2021-08']).index
bar_plot(df, by='profiler')
Parameters:

  • df (pandas.DataFrame) – As returned by an argopy index dataframe

  • by (str, default='institution') – The profile property to plot

  • style (str, optional) – Define the Seaborn axes style: ‘argopy’, ‘white’, ‘darkgrid’, ‘whitegrid’, ‘dark’, ‘ticks’

Returns:

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