DA
来自Jack's Lab
（版本间的差异）
(→bar) |
(→bar) |
||
| 第29行： | 第29行： | ||
<source lang=python> | <source lang=python> | ||
| + | import pandas as pd | ||
| + | import matplotlib.pyplot as plt | ||
| + | import matplotlib.dates as mdate | ||
| + | |||
hb = pd.read_csv("../DA/data/ncp-hb-new.csv", index_col='Date', parse_dates=True, skipinitialspace=True) | 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) | cn = pd.read_csv("../DA/data/ncp-cn-new.csv", index_col='Date', parse_dates=True, skipinitialspace=True) | ||
xhb = cn-hb | xhb = cn-hb | ||
| − | + | ||
| − | + | ||
plt.gca().xaxis.set_major_formatter(mdate.DateFormatter('%m-%d')) | plt.gca().xaxis.set_major_formatter(mdate.DateFormatter('%m-%d')) | ||
| + | |||
| + | plt.bar(hb.index, hb['Confirmed'].values) | ||
| + | plt.bar(xhb.index, xhb['Confirmed'].values) | ||
| + | |||
plt.show() | plt.show() | ||
</source> | </source> | ||
2020年2月16日 (日) 19:57的版本
目录 |
1 Overview
2 描述性统计
3 探索数据分布
3.1 bar
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.dates as mdate
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
plt.gca().xaxis.set_major_formatter(mdate.DateFormatter('%m-%d'))
plt.bar(hb.index, hb['Confirmed'].values)
plt.bar(xhb.index, xhb['Confirmed'].values)
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
