#!/usr/bin/env python
# coding: utf-8

# In[1]:


import pandas as pd
import numpy as np
import seaborn as sns

from mplsoccer import Pitch, VerticalPitch

import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec

from functions import plot_heatmap


# In[2]:


x = np.random.randint(1,101,500)


# In[3]:


df = pd.read_csv('europaFinal.csv')
df.head()


# In[4]:


fig = plt.figure(figsize=(10,10),constrained_layout = True)

gs = fig.add_gridspec(nrows = 3, ncols = 4)

ax1 = fig.add_subplot(gs[0,0:2])
ax1.set_title('[0,0]')
boxplot = sns.boxplot(x = x, ax = ax1)

ax3 = fig.add_subplot(gs[0,2])
ax3.set_title('[0,2]')
plot_heatmap(heat_df = df, teamId = 'Villarreal', p_type='Pass', ax=ax3)

ax4 = fig.add_subplot(gs[0,3])
ax4.set_title('[0,3]')
plot_heatmap(heat_df = df, teamId = 'Manchester United', p_type='Pass', ax=ax4)

ax5 = fig.add_subplot(gs[1:,0])
ax5.set_title('[1,0]')

ax6 = fig.add_subplot(gs[1,1])
ax6.set_title('[1,1]')

ax7 = fig.add_subplot(gs[1,2])
ax7.set_title('[1,2]')

ax8 = fig.add_subplot(gs[1,3])
ax8.set_title('[1,3]')

ax10 = fig.add_subplot(gs[2,1])
ax10.set_title('[2,1]')

ax11 = fig.add_subplot(gs[2,2])
ax11.set_title('[2,2]')

ax12 = fig.add_subplot(gs[2,3])
ax12.set_title('[2,3]')
ax12.scatter(5,2)


# In[ ]: