import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from pymarket.plot.demand_curves import plot_demand_curves
[docs]def plot_both_side_muda(
bids, left_players, right_players, left_price,
right_price, FIGSIZE=(12, 6), **kwargs):
"""Plots the two sides in which MUDA divides the trades with the
corresponding prices
Parameters
----------
bids (pandas dataframe):
Table with all the bids submitted
left (list):
List of players in the left side
right (list):
List of players in the right side
left_price (float):
Price obtained from the left side to be used in the right side
right_price (float):
Price obtained from the right side to be used in the left side
FIGSIZE (tuple):
Tuple (width, height) of the figure to be created
Returns
-------
axe : matplotlib.axes._subplots.AxesSubplot
The axe in which the figure was plotted.
"""
bids = bids.get_df()
fig, ax = plt.subplots(1, 2, figsize=FIGSIZE)
plot_demand_curves(bids[bids.index.isin(left_players)], ax=ax[0])
ax[0].axhline(right_price, linestyle='--', c='k',
label='Trading price determined by right players')
ax[0].legend()
ax[0].set_title('Left players')
plot_demand_curves(bids[bids.index.isin(right_players)], ax=ax[1])
ax[1].axhline(
left_price,
linestyle='--',
c='k',
label='Trading price determined by left players')
ax[1].legend()
_ = ax[1].set_title('Right players')
return ax