import matplotlib.pyplot
#import matplotlib.pyplot as plt



#creating lists
mpg = [21 ,	21 ,	22.8 ,	21.4 ,	18.7 ,	18.1 ,	14.3 ,	24.4 ,	22.8 ,	19.2 ,	17.8 ,	16.4 ,	17.3 ,	15.2 ,	10.4 ,	10.4 ,	14.7 ,	32.4 ,	30.4 ,	33.9 ,	21.5 ,	15.5 ,	15.2 ,	13.3 ,	19.2 ,	27.3 ,	26 ,	30.4 ,	15.8 ,	19.7 ,	15 ,	21.4]
wt = [2.62 ,	2.875 ,	2.32 ,	3.215 ,	3.44 ,	3.46 ,	3.57 ,	3.19 ,	3.15 ,	3.44 ,	3.44 ,	4.07 ,	3.73 ,	3.78 ,	5.25 ,	5.424 ,	5.345 ,	2.2 ,	1.615 ,	1.835 ,	2.465 ,	3.52 ,	3.435 ,	3.84 ,	3.845 ,	1.935 ,	2.14 ,	1.513 ,	3.17 ,	2.77 ,	3.57 ,	2.78]

mpg
wt

# create scatter plot
matplotlib.pyplot.scatter(mpg,wt)

# Use short cut to create scatter plot
plt.scatter(mpg,wt)

# change colour with "c"
plt.scatter(mpg,wt, c= "red")
#ed7c31    orange
#0273bf    blue	

# change size with "s"
plt.scatter(mpg,wt, c= "red",s=50)

# change axis limit
plt.scatter(mpg,wt, c= "red",s=50)
plt.xlim(10,40)
plt.ylim(0,6)


# line chart

EB = [6 ,	0 ,	2 ,	1 ,	2 ,	1 ,	2 ,	2 ,	2 ,	0 ,	1 ,	3 ,	0 ,	3 ,	1 ,	0 ,	4 ,	1 ,	3 ,	3 ,	6 ,	2 ,	0 ,	0 ,	4 ,	1 ,	2 ,	1 ,	1 ,	0 ,	1 ,	3 ,	0 ,	1 ,	1 ,	1 ,	3 ,	1 ,	3 ,	0 ,	2 ,	2 ,	2 ,	1 ,	2 ,	2 ,	1 ,	2 ,	1 ,	2 ,	1 ,	2 ,	4 ,	0 ,	1 ,	1 ,	2 ,	2 ,	2 ,	0 ,	2 ,	2 ,	0 ,	0 ,	2 ,	3 ,	2 ,	2 ,	3 ,	0 ,	3 ,	3 ,	0 ,	1 ,	0 ,	0 ,	2 ,	1 ,	1 ,	3 ,	1 ,	3 ,	1 ,	1 ,	0 ,	2 ,	0 ,	3 ,	3 ,	3 ,	2 ,	0 ,	0 ,	1 ,	4 ,	1 ,	0 ,	2 ,	1 ,	1 ,	2 ,	2 ,	0 ,	2 ,	1 ,	1 ,	2 ,	3 ,	1 ,	4 ,	4 ,	1 ,	2 ,	2 ,	2 ,	1 ,	0 ,	0 ,	5 ,	1 ,	1 ,	1 ,	0 ,	1 ,	1 ,	0 ,	2 ,	1 ,	3 ,	2 ,	1 ,	1 ,	1 ,	0 ,	1 ,	1 ,	3 ,	2 ,	1 ,	3 ,	1 ,	2 ,	1 ,	1 ]
EB

MB = [0 ,	2 ,	1 ,	0 ,	0 ,	1 ,	1 ,	1 ,	2 ,	2 ,	0 ,	1 ,	2 ,	1 ,	0 ,	0 ,	4 ,	2 ,	0 ,	1 ,	0 ,	1 ,	4 ,	0 ,	1 ,	3 ,	0 ,	1 ,	0 ,	2 ,	5 ,	0 ,	0 ,	1 ,	3 ,	2 ,	1 ,	0 ,	3 ,	1 ,	3 ,	0 ,	1 ,	1 ,	1 ,	1 ,	1 ,	2 ,	0 ,	0 ,	2 ,	0 ,	0 ,	0 ,	1 ,	1 ,	2 ,	1 ,	1 ,	0 ,	1 ,	1 ,	1 ,	3 ,	0 ,	1 ,	1 ,	1 ,	3 ,	3 ,	1 ,	0 ,	0 ,	3 ,	2 ,	0 ,	0 ,	3 ,	2 ,	0 ,	0 ,	0 ,	1 ,	0 ,	3 ,	5 ,	2 ,	2 ,	1 ,	1 ,	3 ,	0 ,	1 ,	0 ,	2 ,	2 ,	1 ,	2 ,	2 ,	4 ,	1 ,	1 ,	0 ,	2 ,	1 ,	1 ,	1 ,	1 ,	3 ,	1 ,	0 ,	1 ,	1 ,	1 ,	3 ,	1 ,	2 ,	0 ,	0 ,	1 ,	0 ,	0 ,	1 ,	0 ,	0 ,	1 ,	2 ,	0 ,	1 ,	0 ,	1 ,	1 ,	0 ,	1 ,	2 ,	1 ,	0 ,	1 ,	2 ,	0 ,	1 ,	0 ,	1 ,	2 ]
MB



import matplotlib.pyplot as plt

# create line chart
plt.plot(EB)

# create line chart
plt.plot(EB)
plt.plot(MB)
plt.xlim(0,145)

# change the colour to brown & show seperately
plt.plot(EB, c="brown")#new code
plt.show()#new code
plt.plot(MB)
plt.xlim(0,145)

# put Title with title keyword
plt.plot(EB, c="brown")
plt.title("Plot no. 1")#new code
plt.show()
plt.plot(MB)
plt.title("Plot no. 2")#new code
plt.xlim(0,145)

# Label on x axis and y axis
plt.plot(EB, c="brown")
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code

# Ticks 
plt.plot(EB, c="brown")
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.xticks([0,60,100,140],["Bad","Avg","Good","super",])#new code
              

# rotation of text
plt.plot(EB, c="brown")
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.xticks([0,60,100,140],["Bad","Avg","Good","super",],
           rotation = 90)#new code          

# line style with ls
plt.plot(EB, c="brown", ls="--")#new code
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.xticks([0,60,100,140],["Bad","Avg","Good","super",],
rotation = 90)





# Annotate
plt.plot(EB, c="brown")
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.annotate("Max value", xy=(20,6), xytext=(70,6),
arrowprops=dict(facecolor="magenta"))#new code


# figure size with plt.figure
plt.figure(figsize=(10,5))#new code
plt.plot(EB, c="brown")
plt.title("Plot no. 1")
plt.plot(MB)
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.annotate("Max value", xy=(20,6), xytext=(70,6),
arrowprops=dict(facecolor="magenta"))




# legend with label & legend
plt.figure(figsize=(10,5))
plt.plot(EB, c="brown", label="East Bengal")#new code
plt.title("Plot no. 1")
plt.plot(MB, label="mohun Bagan")#new code
plt.legend()#new code
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.annotate("Max value", xy=(20,6), xytext=(70,6),
arrowprops=dict(facecolor="magenta"))

# legend location
plt.figure(figsize=(10,5))
plt.plot(EB, c="brown", label="East Bengal")
plt.title("Plot no. 1")
plt.plot(MB, label="mohun Bagan")
plt.legend(loc = "upper right")#upper left/lower right #new code
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.annotate("Max value", xy=(20,6), xytext=(70,6),
arrowprops=dict(facecolor="magenta"))



# save the figure
plt.figure(figsize=(10,5))
plt.plot(EB, c="brown", label="East Bengal")
plt.title("Plot no. 1")
plt.plot(MB, label="mohun Bagan")
plt.legend(loc = "upper right")#upper left/lower right #new code
plt.xlim(0,145)
plt.xlabel("Matches Played")#new code
plt.ylabel("Goals scored")#new code
plt.annotate("Max value", xy=(20,6), xytext=(70,6),
arrowprops=dict(facecolor="magenta"))
plt.savefig(
"C:/Users/Desktop/python plot/Line chart.pdf")
#.jpeg or .png



# we can create histogram with hist keyword
plt.hist(EB)        

# We will add bins - different discrete values
plt.hist(EB, bins=range(8))        

# We will add figsize and legends
plt.figure(figsize=(8,5))#figure size
plt.hist(EB, bins=range(8), label="East Bengal")
plt.legend()#legends        

# We will add figsize and legends
plt.figure(figsize=(8,5))
plt.hist(EB, bins=range(8), label="East Bengal")
plt.legend()        
plt.xlim(0,7)#removes the extra white space
plt.xlabel("Goals scored")#x axis name
plt.ylabel("No of Goals")#y axis name

# We may plot goals of EB & MB in same chart

plt.figure(figsize=(8,5))
plt.hist((EB,MB), bins=range(8),
color=["red","green"],#add colors
label=["East Bengal","Mohun Bagan"])
plt.legend()        
plt.xlim(0,7)#removes the extra white space
plt.xlabel("Goals scored")#x axis name
plt.ylabel("No of Goals")#y axis name