import pandas as pd

import numpy as np
import matplotlib.pyplot as plt

import os
from google.colab import drive
drive.mount('/content/drive')
os.chdir('/content/drive/My Drive/Colab Notebooks/ase3001')

df = pd.read_csv('kfxsim.csv', delimiter=',')

print(df.shape)   # show the size of the dataframe
df.head(10)       # show the first 10 rows

list(df)

plt.figure()
plt.plot(df['Time'], df['Yaw'])
plt.plot(df['Time'], df['Pitch'])
plt.plot(df['Time'], df['Roll'])
plt.grid(True)
plt.legend()
plt.xlabel("Time (s)")
plt.ylabel("Euler angles (deg)")
plt.title("Euler angles")

df = pd.read_csv('https://web.stanford.edu/~hastie/Papers/LARS/diabetes.data', delimiter='\t')
df

df.loc[df['AGE'].idxmin()]

df['BMI'].mean()

np.mean(df['BMI'])

plt.figure(figsize=(12,8))
plt.plot(df['BP'], df['BMI'], 'o', alpha=0.5)
plt.xlabel('BP')
plt.ylabel('BMI')
plt.grid(True)

df = pd.read_json('http://jonghank.github.io/ee370/files/speeches.json')
df

print(f"parties: {df['parties'][0]}")
print(f"speeches: {df['speeches'][0]}")

from PIL import Image
import requests

X = Image.open(requests.get("https://jonghank.github.io/ase3001/files/aerospace_building.png", stream=True).raw)
ae_building = np.array(X)/255


plt.figure(dpi=100)
plt.imshow(ae_building)
plt.axis('off')
plt.title('Original color image')

ae_building.shape

R_channel = ae_building[:,:,0]
G_channel = ae_building[:,:,1]
B_channel = ae_building[:,:,2]
ae_grayscale = 0.299*R_channel + 0.587*G_channel + 0.114*B_channel

plt.figure(dpi=100)
plt.imshow(ae_grayscale, cmap='gray')
plt.axis('off')
plt.title('Grayscale image')