import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
import pandas as pd
import datetime

dates = np.load('dates.npy', allow_pickle=True)
dates = dates.flatten()

print(type(dates))
print(np.shape(dates))

dlist = []
for d in dates:
    dlist.append(datetime.datetime.strptime(d, '%Y-%m-%d %H:%M'))

print(type(dlist))
print(type(dlist[0]))
print(np.shape(dlist))

dlist = mdates.date2num(dlist)

plt.hist(dlist, bins=10)
axes = plt.gca()
axes.set_xlabel('MY X AXIS')
axes.set_ylabel('MY Y AXIS')
axes.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
plt.gcf().autofmt_xdate()
plt.savefig('HISTPLOT.pdf', bbox_inches='tight')

ax = sns.boxenplot(dlist)
ax.set(xlabel='MY X AXIS', ylabel='MY Y AXIS')
ax.yaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
plt.savefig('BOXENPLOT.pdf', bbox_inches='tight')

ax = sns.violinplot(dlist)
ax.set(xlabel='MY X AXIS', ylabel='MY Y AXIS')
ax.yaxis.set_major_formatter(mdates.DateFormatter('%Y-%m'))
plt.savefig('VIOLINPLOT.pdf', bbox_inches='tight')
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