How to plot stacked event duration (Gantt Charts) using Python Pandas

• I think you are trying to create a gantt plot.
• This suggests using hlines
• Tested in matplotlib 3.4.2

import pandas as pdimport matplotlib.pyplot as pltimport matplotlib.dates as dt# using df from the OP# convert columns to a datetime dtypedf.amin = pd.to_datetime(df.amin)df.amax = pd.to_datetime(df.amax)fig, ax = plt.subplots(figsize=(8, 5))ax = ax.xaxis_date()ax = plt.hlines(df.index, dt.date2num(df.amin), dt.date2num(df.amax))

• The following code also works

# using df from the OPdf.amin = pd.to_datetime(df.amin)df.amax = pd.to_datetime(df.amax)fig, ax = plt.subplots(figsize=(8, 5))ax = plt.hlines(df.index, df.amin, df.amax)

You can use Bokeh (a python library) to make gantt chart and its really beautiful.Here is a code I copied from a twiiter.http://nbviewer.jupyter.org/gist/quebbs/10416d9fb954020688f2

from bokeh.plotting import figure, show, output_notebook, output_filefrom bokeh.models import ColumnDataSource, Range1dfrom bokeh.models.tools import HoverToolfrom datetime import datetimefrom bokeh.charts import Baroutput_notebook()#output_file('GanntChart.html') #use this to create a standalone html file to send to othersimport pandas as psDF=ps.DataFrame(columns=['Item','Start','End','Color'])Items=[    ['Contract Review & Award','2015-7-22','2015-8-7','red'],    ['Submit SOW','2015-8-10','2015-8-14','gray'],    ['Initial Field Study','2015-8-17','2015-8-21','gray'],    ['Topographic Procesing','2015-9-1','2016-6-1','gray'],    ['Init. Hydrodynamic Modeling','2016-1-2','2016-3-15','gray'],    ['Prepare Suitability Curves','2016-2-1','2016-3-1','gray'],    ['Improvement Conceptual Designs','2016-5-1','2016-6-1','gray'],    ['Retrieve Water Level Data','2016-8-15','2016-9-15','gray'],    ['Finalize Hydrodynamic Models','2016-9-15','2016-10-15','gray'],    ['Determine Passability','2016-9-15','2016-10-1','gray'],    ['Finalize Improvement Concepts','2016-10-1','2016-10-31','gray'],    ['Stakeholder Meeting','2016-10-20','2016-10-21','blue'],    ['Completion of Project','2016-11-1','2016-11-30','red']    ] #first items on bottomfor i,Dat in enumerate(Items[::-1]):    DF.loc[i]=Dat#convert strings to datetime fields:DF['Start_dt']=ps.to_datetime(DF.Start)DF['End_dt']=ps.to_datetime(DF.End)G=figure(title='Project Schedule',x_axis_type='datetime',width=800,height=400,y_range=DF.Item.tolist(),        x_range=Range1d(DF.Start_dt.min(),DF.End_dt.max()), tools='save')hover=HoverTool(tooltips="Task: @Item<br>\Start: @Start<br>\End: @End")G.add_tools(hover)DF['ID']=DF.index+0.8DF['ID1']=DF.index+1.2CDS=ColumnDataSource(DF)G.quad(left='Start_dt', right='End_dt', bottom='ID', top='ID1',source=CDS,color="Color")#G.rect(,"Item",source=CDS)show(G)

It's possible to do this with horizontal bars too: broken_barh(xranges, yrange, **kwargs)