Trying to plot multiple bar charts together using plt.subplot

Question

I have three bar charts that I have created. I would like to plot them all together using the fig, ax = plt.subplots function that is very popular. I can not get them to plot correctly together, but I can get them to show individually when I run each line below seperately

ax1 = buyreturns['return30'].plot.bar(grid=True, color=(buyreturns['return30'] > 0).map({True: 'g', False: 'r'}))
ax2 = buyreturns['return60'].plot.bar(grid=True, color=(buyreturns['return60'] > 0).map({True: 'g', False: 'r'}))
ax3 = buyreturns['return90'].plot.bar(grid=True, color=(buyreturns['return90'] > 0).map({True: 'g', False: 'r'}), legend = x)

I would like to get these to show up stacked on top of one another using the fig, ax = plt.subplots function.

I have tried the following code and the visual that is returned is an amalgamation of all the three barcharts, see the first picture below

fig, (ax1, ax2, ax3) =  plt.subplots(3, 1, sharex=False, sharey= False, figsize=(24,16)) 

ax1 = buyreturns['return30'].plot.bar(grid=True, color=(buyreturns['return30'] > 0).map({True: 'g', False: 'r'}))
ax2 = buyreturns['return60'].plot.bar(grid=True, color=(buyreturns['return60'] > 0).map({True: 'g', False: 'r'}))
ax3 = buyreturns['return90'].plot.bar(grid=True, color=(buyreturns['return90'] > 0).map({True: 'g', False: 'r'}), legend = x)

plt.show()

I have also tried this following code and it returns what is in the second picture.

fig, (ax1, ax2, ax3) =  plt.subplots(3, 1, sharex=False, sharey= False, figsize=(24,16)) 

ax1.bar(len(buyreturns), buyreturns['return30'], bar_width, color=(buyreturns['return30'] > 0).map({True: 'g', False: 'r'}))
ax2.bar(len(buyreturns), buyreturns['return60'], bar_width, color=(buyreturns['return60'] > 0).map({True: 'g', False: 'r'}))
ax3.bar(len(buyreturns), buyreturns['return90'], bar_width, color=(buyreturns['return90'] > 0).map({True: 'g', False: 'r'}))

plt.show()

Any input on how to fix these issues and return a 3 barchart graph would be great! Thanks

Answer 1

use ax=<the reference to your axes> in the call to plot()

fig, (ax1, ax2, ax3) =  plt.subplots(3, 1, sharex=False, sharey= False, figsize=(24,16)) 

buyreturns['return30'].plot.bar(grid=True, color=(buyreturns['return30'] > 0).map({True: 'g', False: 'r'}), ax=ax1)
buyreturns['return60'].plot.bar(grid=True, color=(buyreturns['return60'] > 0).map({True: 'g', False: 'r'}), ax=ax2)
buyreturns['return90'].plot.bar(grid=True, color=(buyreturns['return90'] > 0).map({True: 'g', False: 'r'}), ax=ax3)

Answer 2

Similar to Diziet's answer, but more programmatic :

fig, axes =  plt.subplots(3, 1, sharex=False, sharey= False, figsize=(24,16)) 

# range(30,91,30) represents (30,60,90)
for i, ax in zip(range(30,91,30), axes):
    col_name = f'return{i}'
    colors = (buyreturns[col_name] > 0).map({True: 'g', False: 'r'})
    buyreturns[col_name].plot.bar(grid=True, 
                                  color=colors,
                                  ax=ax)

plt.show()