tips = sns.load_dataset("tips")
sns.relplot(x="total_bill", y="tip", data=tips);

import matplotlib.pyplot as plt
plt.figure(figsize=(20,5))
plt.plot(tips['tip'])

tips[['total_bill','tip', 'sex']].groupby('sex').sum().plot.bar()

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt

# Use this if working in Jupyter Notebook rather than JupyterLab
%matplotlib notebook

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

x =[1,2,3,4,5,6,7,8,9,10]
y =[5,6,2,3,13,4,1,2,4,8]
z =[2,3,3,3,5,7,9,11,9,10]

ax.scatter(x, y, z, c='r', marker='o')

ax.set_xlabel('X Label')
ax.set_ylabel('Y Label')
ax.set_zlabel('Z Label')

plt.show()

## 3D Line Plot

'''
==============
3D lineplot
==============
Demonstration of a basic lineplot in 3D.
'''

# Import libraries
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt

# Set the legend font size to 10
mpl.rcParams['legend.fontsize'] = 10

# Create figure object
fig = plt.figure()

# Get the current axes, creating one if necessary.
ax = fig.gca(projection='3d')

# Create data point to plot
theta = np.linspace(-4 * np.pi, 4 * np.pi, 100)
z = np.linspace(-2, 2, 100)
r = z**2 + 1
x = r * np.sin(theta)
y = r * np.cos(theta)

# Plot line graph 
ax.plot(x, y, z, label='Parametric curve')

# Set default legend
ax.legend()

plt.show()

## 3D Contour Plot

'''
==============
Contour Plots
==============
Plot a contour plot that shows intensity
'''
# Import libraries
from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm

# Create figure object
fig = plt.figure()

# Get the current axes, creating one if necessary.
ax = fig.gca(projection='3d')

# Get test data
X, Y, Z = axes3d.get_test_data(0.05)

# Plot contour curves
cset = ax.contourf(X, Y, Z, cmap=cm.coolwarm)

# Set labels
ax.clabel(cset, fontsize=9, inline=1)

plt.show()

## 3D Surface Plot

'''
====================
3D plots as subplots
====================
Demonstrate including 3D plots as subplots.
'''

import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d.axes3d import Axes3D, get_test_data
from matplotlib import cm
import numpy as np


# set up a figure twice as wide as it is tall
fig = plt.figure(figsize=plt.figaspect(0.5))

#===============
#  First subplot
#===============
# set up the axes for the first plot
ax = fig.add_subplot(1, 2, 1, projection='3d')

# plot a 3D surface like in the example mplot3d/surface3d_demo
# Get equally spaced numbers with interval of 0.25 from -5 to 5
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
# Convert it into meshgrid for plotting purpose using x and y
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
surf = ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.coolwarm,
                       linewidth=0, antialiased=False)
ax.set_zlim(-1.01, 1.01)
fig.colorbar(surf, shrink=0.5, aspect=10)

#===============
# Second subplot
#===============
# set up the axes for the second plot
ax = fig.add_subplot(1, 2, 2, projection='3d')

# plot a 3D wireframe like in the example mplot3d/wire3d_demo
# Return a tuple X, Y, Z with a test data set
X, Y, Z = get_test_data(0.05)
ax.plot_wireframe(X, Y, Z, rstride=10, cstride=10)

plt.show()

# !pip install networkx

%matplotlib inline

# libraries
import pandas as pd
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
 
# Build a dataframe with your connections
df = pd.DataFrame({ 'from':['A', 'B', 'C','A'], 'to':['D', 'A', 'E','C']})
df
 
# Build your graph
G=nx.from_pandas_edgelist(df, 'from', 'to')
 
# Graph with Custom nodes:
nx.draw(G, with_labels=True, node_size=1500, node_color="skyblue", node_shape="s", alpha=0.5, linewidths=40)
plt.show()

df = pd.read_csv('https://raw.github.com/pandas-dev/pandas/master/pandas/tests/io/data/csv/iris.csv')
pd.plotting.parallel_coordinates(df, 'Name', color=('#556270', '#4ECDC4', '#C7F464'))

# https://plotly.com/python/getting-started/#installation

import plotly.graph_objects as go
fig = go.Figure(data=go.Bar(y=[2, 3, 1]))
#fig.write_html('first_figure.html', auto_open=True)
#fig.show() #- works in Notebook but not in Lab

import plotly.graph_objects as go

fig =go.Figure(go.Sunburst(
    labels= ["MyWork.txt", "Holiday.jpg", "Documents", "FavouriteSong.mp3", "Desktop"],
    parents= ["Documents", "Documents", "", "Desktop", ""], 
    values= [3, 2, 5, 2, 2],
))

#fig.write_html('first_figure.html', auto_open=True)
fig.show() #- works in Notebook but not in Lab