DA
来自Jack's Lab
目录 |
1 Overview
2 描述性统计
3 探索数据分布
3.1 bar
hb = pd.read_csv("../DA/data/ncp-hb-new.csv", index_col='Date', parse_dates=True, skipinitialspace=True); cn = pd.read_csv("../DA/data/ncp-cn-new.csv", index_col='Date', parse_dates=True, skipinitialspace=True); xhb = cn-hb; xhb_cf = xhb['Confirmed'].values; plt.bar(xhb.index, xhb_cf); plt.gca().xaxis.set_major_formatter(mdate.DateFormatter('%m-%d')); plt.show();
4 时序数据分析
5 Reference
- Numpy API reference
- Pandas API reference
- matplotlib Gallery
- Change the Colors Changes to the default style
- matplotlib.pyplot.plot()
- matplotlib.pyplot.figure()
- Time Series Analysis Example
- Introduction to Data Science
- Data Visualization tutorial
- FlowingData Tutorials