I am trying to graph the functions of min ()
and max ()
in the same graph, I already could with the function of max ()
but how can I join the two in the same graph and that it can be displayed correctly?
Example of my code and my output:
df.groupby('fecha_inicio')['capacidad_base_firme'].max().plot(kind='bar', legend = 'Reverse')
plt.xlabel('Tarifa de Base firme por Zona')
And my output of my dataframe:
zona capacidad_base_firme ... fecha_inicio fecha_fin
0 Sur 1.52306 ... 2016-01-01 2016-03-31
1 Centro 2.84902 ... 2016-01-01 2016-03-31
2 Occidente 1.57302 ... 2016-01-01 2016-03-31
3 Golfo 3.06847 ... 2016-01-01 2016-03-31
4 Norte 4.34706 ... 2016-01-01 2016-03-31
.. ... ... ... ... ...
67 Golfo 5.22776 ... 2017-10-01 2017-12-31
68 Norte 6.99284 ... 2017-10-01 2017-12-31
69 Istmo 7.25957 ... 2017-10-01 2017-12-31
70 Nacional 0.21971 ... 2017-10-01 2017-12-31
71 Nacional con AB -0.72323 ... 2017-10-01 2017-12-31
[72 rows x 10 columns]
CodePudding user response:
Step 1
Create a subplot to plot the data to
fig, ax = plt.subplots()
Step 2
Plot your DataFrame maximum and minimum to the specific axis
df.groupby('fecha_inicio')['capacidad_base_firme'].max().plot(ax = ax, kind='bar', legend = 'Reverse', label='Maximum')
df.groupby('fecha_inicio')['capacidad_base_firme'].min().plot(ax = ax, kind='bar', legend = 'Reverse', label='Minimum')
You may need to adjust the zorder to get the effect of a stacked bar plot.
CodePudding user response: