数据分析作业

1. import pandas as pd
2. import numpy as np
3. import matplotlib.pyplot as plt
4. import seaborn as sns
5. import scipy.stats as stats
6. %matplotlib inline
7. plt.style.use('ggplot')
8. import plotly.express as px
9. import plotly.graph_objs as go
10. from plotly.offline import iplot, init_notebook_mode
11. import plotly.figure_factory as ff
12. from plotly import subplots
13. from plotly.subplots import make_subplots 
14. init_notebook_mode(connected=True)
15. from datetime import datetime, date, timedelta
16. from fbprophet import Prophet
17. import warnings
18. warnings.filterwarnings('ignore')
19. pd.set_option('display.max_columns', 100)
20. pd.set_option('display.max_rows', 100)
21. import os
22. for dirname, _, filenames in os.walk('/kaggle/input'): 
23. print(os.path.join(dirname, filename)
24. fig = px.bar(df, x='Date', y='Confirmed', hover_data=['Province/State', 'Deaths', 'Recovered'], color='Country')
25. annotations = []
26. annotations.append(dict(xref='paper', yref='paper', x=0.0
27. xanchor='left', yanchor='bottom',
28. text='Confirmed bar plot for each country'
29. font=dict(family='Arial')
30. size=30
31. color='rgb(37,37,37)')
32. showarrow=False))
33. fig.update_layout(annotations=annotations)
34. fig.show()