DA
来自Jack's Lab
（版本间的差异）
(→探索数据分布) |
(→探索数据分布) |
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| 第25行： | 第25行： | ||
* [https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.kde.html Pandas KDE] | * [https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.plot.kde.html Pandas KDE] | ||
| + | |||
| + | === bar === | ||
| + | |||
| + | <source lang=python> | ||
| + | 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(); | ||
| + | </source> | ||
<br> | <br> | ||
2020年2月16日 (日) 19:42的版本
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
