plottimeseries.py

import matplotlib.pyplot as plt
# Average of python column by day
mean_python = df_tweet['python'].resample('1 min').mean()

# Average of js column by day
mean_js = df_tweet['js'].resample('1 min').mean()

# Plot mean python/js by day
plt.plot(mean_python.index.minute, mean_python, color = 'green')
plt.plot(mean_js.index.minute, mean_js, color = 'blue')

# Add labels and show
plt.xlabel('Minute'); plt.ylabel('Frequency')
plt.title('Language mentions over time')
plt.legend(('#python', '#js'))
plt.show()