ishritam

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


'''downlaod iris.csv from https://raw.githubusercontent.com/uiuc-cse/data-fa14/gh-pages/data/iris.csv'''
#Load Iris.csv into a pandas dataFrame.
iris = pd.read_csv("iris.csv")

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#2-D scatter plot:
#ALWAYS understand the axis: labels and scale.

iris.plot(kind='scatter', x='sepal_length', y='sepal_width') ;
plt.show()

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# 2-D Scatter plot with color-coding for each flower type/class.
# Here 'sns' corresponds to seaborn. 
sns.set_style("whitegrid");
sns.FacetGrid(iris, hue="species", size=4) \
   .map(plt.scatter, "sepal_length", "sepal_width") \
   .add_legend();
plt.show();

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sns.set_style("whitegrid");
sns.pairplot(iris, hue="species", size=2);
plt.show()
# NOTE: the diagnol elements are PDFs for each feature. PDFs are expalined below.

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#1-D scatter plot of petal-length
import numpy as np
iris_setosa = iris.loc[iris["species"] == "setosa"];
iris_virginica = iris.loc[iris["species"] == "virginica"];
iris_versicolor = iris.loc[iris["species"] == "versicolor"];

plt.plot(iris_setosa["petal_length"], np.zeros_like(iris_setosa['petal_length']), 'o')
plt.plot(iris_versicolor["petal_length"], np.zeros_like(iris_versicolor['petal_length']), 'o')
plt.plot(iris_virginica["petal_length"], np.zeros_like(iris_virginica['petal_length']), 'o')

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sns.FacetGrid(iris, hue="species", size=5) \
   .map(sns.distplot, "petal_length") \
   .add_legend();
plt.show();

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#Plot CDF of petal_length

counts, bin_edges = np.histogram(iris_setosa['petal_length'], bins=10, 
                                 density = True)
pdf = counts/(sum(counts))
print(pdf);
print(bin_edges)

#compute CDF
cdf = np.cumsum(pdf)

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sns.violinplot(x="species", y="petal_length", data=iris, size=8)
plt.show()

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#2D Density plot, contors-plot
sns.jointplot(x="petal_length", y="petal_width", data=iris, kind="kde");
plt.show();

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%matplotlib inline
import matplotlib.pyplot as plt
Sepal_Width_new = [0.77, -0.77, -0.15, -0.46, 1.08, 1.38, 0.46, 0.46, -1.0, -1.6]

plt.plot(Sepal_Width_new)