MatPlotLib - Chart Examples

import numpy as np

from matplotlib import pyplot as plt

x = np.arange(1,11)

x

array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])

y=2*x

y

array([ 2,  4,  6,  8, 10, 12, 14, 16, 18, 20])

plt.plot(x,y)

plt.show()

plt.plot(x,y)

plt.title("Line Plot Example")

plt.xlabel("x-label")

plt.ylabel("y-label")

plt.show()

plt.plot(x,y,color="g",linestyle=":",linewidth=2)

plt.title("Line Plot Example")

plt.xlabel("Sales")

plt.ylabel("Transactions")

plt.show()

x = np.arange(1,11)

y1 = 2 * x

y2 = 3 * x

plt.plot(x,y1,color="g",linestyle=":",linewidth=2)

plt.plot(x,y2,color="r",linestyle="-.",linewidth=3)

plt.title("Line Plot Example")

plt.xlabel("Sales")

plt.ylabel("Transactions")

plt.grid(True)

plt.show()

plt.subplot(1,2,1)

plt.plot(x,y1,color="g")

plt.subplot(1,2,2)

plt.plot(x,y2,color="r")

plt.show()

#Bar chart example

transDict = {"Jan":33000,"Feb":23800,"March":40000,"April":57900}

months = list(transDict.keys())

sales = list(transDict.values())

plt.bar(months,sales)

plt.show()

transDict = {"Jan":33000,"Feb":23800,"March":40000,"April":57900}

months = list(transDict.keys())

sales = list(transDict.values())

plt.barh(months,sales,color="g")

plt.xlabel("Month")

plt.ylabel("Sales")

plt.grid(True)

plt.show()

transDict = {"Jan":33000,"Feb":23800,"March":40000,"April":57900}

months = list(transDict.keys())

sales = list(transDict.values())

plt.bar(months,sales,color="r")

plt.xlabel("Month")

plt.ylabel("Sales")

plt.grid(True)

plt.show()

#Scatter plot

x = [10,20,30,40,50,60,70,80,90]

y = [8,1,7,2,0,3,7,3,2]

plt.scatter(x,y)

plt.show()

x = [10,20,30,40,50,60,70,80,90]

y = [8,1,7,2,0,3,7,3,2]

plt.scatter(x,y,marker="*",c="orange",s=200)

plt.show()

x = [10,20,30,40,50,60,70,80,90]

y1 = [8,3,7,1,4,9,3,6,0]

y2 = [1,2,3,8,6,5,3,9,6]

plt.scatter(x,y1,marker="*",c="orange",s=200)

plt.scatter(x,y2,marker=".",c="red",s=300)

plt.show()

x = [10,20,30,40,50,60,70,80,90]

y1 = [8,3,7,1,4,9,3,6,0]

y2 = [1,2,3,8,6,5,3,9,6]

plt.subplot(1,2,1) #single row and 2 columns and left side

plt.scatter(x,y1,marker="*",c="orange",s=200)

plt.subplot(1,2,2) #single row and 2 columns and right side

plt.scatter(x,y2,marker=".",c="red",s=300)

plt.show()

x = [10,20,30,40,50,60,70,80,90]

y1 = [8,3,7,1,4,9,3,6,0]

y2 = [1,2,3,8,6,5,3,9,6]

plt.subplot(2,1,1) #2 rows single column top side

plt.scatter(x,y1,marker="*",c="orange",s=200)

plt.subplot(2,1,2) #2 rows single column bottom side

plt.scatter(x,y2,marker=".",c="red",s=300)

plt.show()

#histogram example

data = [1,3,3,3,3,9,9,5,4,4,8,8,8,6,7]

plt.hist(data)

plt.show()

#load data from csv and display histogram chart

import pandas as pd

df = pd.read_csv("E:\\PyExa\\iris.csv")

plt.hist(df["sepal.length"],bins=30,color="r")

plt.show()

import pandas as pd

df = pd.read_csv("E:\\PyExa\\iris.csv")

plt.hist(df["sepal.length"],bins=30,color="r")

plt.hist(df["petal.width"],color="green")

plt.show()