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mLine 255:
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→Scatter plot
plt.xlabel('View Count')
plt.xlabel('View Count')
plt.ylabel('Total Likes')
plt.ylabel('Total Likes')
plt.tight_layout()
plt.show()
</syntaxhighlight>
=== Time Series ===
<syntaxhighlight lang="python3">
import pandas as pd
from datetime import datetime, timedelta
from matplotlib import pyplot as plt
from matplotlib import dates as mpl_dates
plt.style.use('seaborn')
data = pd.read_csv('data.csv')
data['Date'] = pd.to_datetime(data['Date'])
data.sort_values('Date', inplace=True)
price_date = data['Date']
price_close = data['Close']
plt.plot_date(price_date, price_close, linestyle='solid')
plt.gcf().autofmt_xdate()
plt.title('Bitcoin Prices')
plt.xlabel('Date')
plt.ylabel('Closing Price')
plt.tight_layout()
plt.tight_layout()