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| Code Block | ||
|---|---|---|
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import pandas as pd
from matplotlib import pyplot as plt
# Create a DataFrame
d = {
'Name':['Alisa','Bobby','jodha','jack','raghu','Cathrine',
'Alisa','Bobby','kumar','Alisa','Alex','Cathrine'],
'Age':[26,24,23,22,23,24,26,24,22,23,24,24],
'Score':[85,63,55,74,31,77,85,63,42,62,89,77]
}
df = pd.DataFrame(d,columns=['Name','Age','Score'])
plt.plot(df['Age'], df['Score'], 'ro')
plt.xlabel('Age')
plt.ylabel('Score')
plt.title('Experiment Result')
plt.show() |
Result
Draw Samsung's stock price by MatPlotLib
| Code Block |
|---|
import matplotlib
matplotlib.use('Agg')
import pandas as pd
import matplotlib
matplotlib.use('Agg')
from matplotlib import pyplot as plt
import os
samsung = pd.read_csv('http://qsok.com/test/py/005930.csv')
# samsung.set_index( 'Date', inplace=True)
print("<pre>")
print(samsung)
print("\n")
max_date = samsung['Date'].max()
print('Last date stored %s' % max_date)
print("</pre>")
if not os.path.exists('./samsung_stock_price.png'):
plt.plot(samsung['Date'], samsung['Close'])
plt.xlabel('Date')
plt.ylabel('Close')
plt.title('Experiment Result')
plt.savefig('samsung_stock_price.png')
print("<img src=samsung_stock_price.png>")
|
Result
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OS
Check if file exists or not
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