I'm generating a simple line chart with Matplotlib, here is my code:
fig = plt.figure(facecolor='#131722',dpi=155, figsize=(8, 4))
ax1 = plt.subplot2grid((1,2), (0,0), facecolor='#131722')
for x in OrderedList:
rate_buy = []
total_buy = []
for y in x['data']['bids']:
rate_buy.append(y[0])
total_buy.append(y[1])
rBuys = pd.DataFrame({'buy': rate_buy})
tBuys = pd.DataFrame({'total': total_buy})
ax1.plot(rBuys.buy, tBuys.total, color='#0400ff', linewidth=0.5, alpha=1)
ax1.fill_between(rBuys.buy, 0, tBuys.total, facecolor='#0400ff', alpha=1)
Which gives me the following output:

And here is the data i used in the dataframe:
buy
0 9611
1 9610
2 9609
3 9608
4 9607
5 9606
6 9605
7 9604
8 9603
9 9602
10 9601
11 9600
12 9599
total
0 3.033661
1 3.295753
2 3.599813
3 22.305765
4 22.987476
5 30.975145
6 39.492845
7 42.828580
8 46.677708
9 49.533740
10 50.925840
11 61.396243
12 61.921523
I want to get the same output of the image, but with an histogram chart or whatever it's similar to that, where the height of the column on the y axis is retrieved from the total dataframe and the x axis position is retrieved from the buy dataframe. So the first element will have position x=9611 and y=3.033661
Is it possible to do that with Matplotlib? I tried to use hist, but it doesn't allow me to set both the x and the y axis
