19 lines
670 B
Python
19 lines
670 B
Python
from pylab import *
|
||
import pandas as pd
|
||
import matplotlib.pyplot as plot
|
||
|
||
datafile = pd.read_csv('E:\TensorFlow_eaxmple\dataset\某地降雨量.csv')
|
||
print(datafile)
|
||
'''计算求和平均等数据属性'''
|
||
summary=datafile.describe()
|
||
minRing=-1
|
||
maxRing=99
|
||
nrows=11
|
||
for i in range(nrows):
|
||
'''每行数据用不同的颜色的线展示,每行数据即每年在十二月这十二个维度的数据,该方法即可平行化展示每年的这12个维度'''
|
||
dataRow=datafile.iloc[i,1:13]
|
||
labelColor=(datafile.iloc[i,12]-minRing)/(maxRing-minRing)
|
||
dataRow.plot(color=plot.cm.RdYlBu(labelColor),alpha=0.5)
|
||
plot.xlabel("Attribute")
|
||
plot.ylabel("Score")
|
||
show() |