def live(i, xs, ys):
xs = xs[-10:0]
ys = ys[-10:0]
ax.clear()
ax.plot(xs, ys)
plt.xtics(ha='right')
plt.title('Distance Measurement')
plt.ylabel('meter')
def checkBox_2Changed(self):
if self.checkBox_2.isChecked:
xtics = arange(-30 * pi, 30 * pi, pi)
xticlabel = []
for xt in arange(-30, 30, 1):
if xt == -1: xticlabel.append(r'$-\pi$')
elif xt == 1: xticlabel.append(r'$\pi$')
else: xticlabel.append('$' + str(xt) + r'\pi$')
plt.xticks(xtics, xticlabel)
else:
xtics = arange(-100, 100, 1)
xticlabel = []
for xt in range(-100, 100, 1):
xticlabel.append(xt)
plt.xtics(xtics, xticlabel)
def describe_year(year):
filtereddf = df.filter(df['year'] == year).agg({
'value': 'sum'
}).withColumnRenamed('sum(value)', 'convictions')
burough_list = [x[0] for x in filtereddf.toLocalIterator()]
conviction_list = [x[1] for x in filtereddf.toLocalIterator()]
plt.title('Crime for the year:' + year, frontsize=30)
plt.xlable('Boroughs', fontsize=30)
plt.ylable('Convictions', fontsize=30)
plt.xtics(rotation=90, frontsize=30)
plt.ytics(frontsize=30)
plt.autoscale()
plt.figure(figsize=(33, 10))
plt.bar(burough_list, conviction_list)
plt.xtic
plt.show()
df=pd.merge(df,df_meal,how='outer',on='meal_id')
df
# In[15]:
table = pd.pivot_table(data=df,index='category',values='num_orders',aggfunc=sum)
# In[16]:
table.plot(kind='bar')
plt.xtics(rotation=70)
plt.xlabel('food items')
plt.ylabel('quantity sold')
plt.title('faviourate food')
plt.savefig('most_popular_food.png')
plt.show()
# In[73]:
df['revenue']=df['checkout_price']*df['num_orders']
df['month']=df['week']//4
df