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