kapil1987

# Minimum cmake version required
cmake_minimum_required(VERSION 3.5.1)

# Set project name. This command also sets the 
# variable PROJECT_SOURCE_DIR which will be used
# below
project(Geometry)

# CMAKE VARIABLE - SRC. Points to all the source files
# used to compile this library

kapil1987

import matplotlib.pyplot as plt 
import pandas as pd 
import numpy as np

# Read the csv file into a pandas dataframe
# A dataframe is basically a table of data.
df_housing = pd.read_csv("housing.csv")

# Get figure object and an array of axes objects
fig, arr_ax = plt.subplots(2, 2)

kapil1987

import matplotlib.pyplot as plt 

fig, arr_ax = plt.subplots(2,2)

# arr_ax is a 2d array of axes objects
arr_ax[0,0].set_title('First subplot')
arr_ax[0,1].set_title('Second subplot')
arr_ax[1,0].set_xlabel('Third subplot')
arr_ax[1,1].set_xlabel('Fourth subplot')

kapil1987

import matplotlib.pyplot as plt

fig = plt.figure()

# Generate a grid of 2x2 subplots and get
# axes object for 1st location
ax1 = fig.add_subplot(2,2,1)
ax1.set_title('First Location')

# Get the axes object for subplot at 2nd 

kapil1987

import matplotlib.pyplot as plt

# Function to get the square of each element in the list
def list_square(a_list):
    return [element**2 for element in a_list]

# Multiple subplots in same figure
fig3 = plt.figure()
x = [1, 2, 3, 4, 5]
y = x

kapil1987

import matplotlib.pyplot as plt

# Function to get the square of each element in the list
def list_square(a_list):
    return [element**2 for element in a_list]

# Multiple plot in same subplot window
# plot y = x and z = x^2 in the same subplot window
fig2 = plt.figure()

kapil1987

import matplotlib.pyplot as plt

# Generate data for plots 
x = [1, 2, 3, 4, 5]
y = x

# Get an empty figure
fig1 = plt.figure()

# Get the axes instance at 1st location in 1x1 grid

kapil1987

# coding: utf-8
import matplotlib.pyplot as plt
import numpy as np


# Generate 1000 numbers from gaussian sample
mean = 10
std = 0.5
num_samples = 1000

kapil1987