python基本画图

下面是自己实际遇到的画图问题，数据大家可以自己找。

• 一个图表上面画出一个图形

import matplotlib.pyplot as plt

import pandas as pd

f = open('E:\\处理资料\python\Reference_PSPF_data\PF_of_MMF1_data.csv','r')

res = pd.read_csv(f)

#由于导入的文件名含有汉字，于是必须这样去调用，不能直接使用res = pd.read_csv('文件名')

f.close()

print(res)

print(type(res))

x = res['2']

print(x)

y = res['0']

z = res['0.1']

plt.plot(x,y,label='the first line',color = 'b')

plt.plot(x,z,label='the second line',color = 'r')

plt.xlabel('y1')

plt.ylabel('y2')

plt.title('PF_of_MMF14')

plt.legend()

plt.show()

######下面的语句是ipython里面的语句

%matplotlib notebook

import pandas as pd

import matplotlib.pyplot as plt

data = pd.read_csv("PF_of_MMF1_data.csv")

print('data')

list_1 = data['0']#此时的data['0']是表示去的data的第一列

list_2 = data['1']#此时的data['1']是表示去的data的第二列

plt.plot(list_1, list_2)

plt.ylabel('f1')

plt.xlabel('f2')

plt.show()

plt.savefig('PF_of_MMF1_z_data.png')

 

 

 

• 一个图标上面画出两个图形

import matplotlib.pyplot as plt

import pandas as pd

f = open('E:\\处理资料\python\Reference_PSPF_data\PF_of_MMF14_a_data.csv','r')

res = pd.read_csv(f)

f.close()

print(res)

print(type(res))

x = res['2']

#['2'],['0']注意在进行使用这个导入的数据时看这个res数据的列是如何表示的，再决定用哪一个数字

 

print(x)

y = res['0']

z = res['0.1']

plt.plot(x,y,label='the first line',color = 'b')

plt.plot(x,z,label='the second line',color = 'r')

plt.xlabel('y1')

plt.ylabel('y2')

plt.title('PF_of_MMF14')

plt.legend()

plt.show()

• 画出散点图（这里是两个散点图x对应y,z的散点图）

import matplotlib.pyplot as plt

import pandas as pd

f = open('E:\\处理资料\python\Reference_PSPF_data\PF_of_MMF14_a_data.csv','r')

res = pd.read_csv(f)

f.close()

print(res)

print(type(res))

x = res['2']

print(x)

y = res['0']

z = res['0.1']

plt.scatter(x,y,label='the first line', color='b', s=25, marker='.')

plt.scatter(x,z,label='the second line', color='r', s=25, marker='.')

plt.xlabel('y1')

plt.ylabel('y2')

plt.title('PF_of_MMF14')

plt.legend()

plt.show()

• 导入wine.txt数据画图

import matplotlib.pyplot as plt

import pandas as pd

f = open('wine.txt', 'r')

res = pd.read_csv(f)#此时直接用res = pd.read_csv('文件名')也可以

f.close()

print(res)

print(type(res))

x = res['14.23']

#

print(x)

y = res['1.71']

z = res['1']

plt.plot(x, z, label='the first', color='k')

plt.plot(y, z, label='the second', color='g')

plt.xlabel('f1')

plt.ylabel('f2')

plt.title('Interesting Graph\nCheck it out')

plt.legend()

plt.show()

• 换一种读数据的方法画图

import matplotlib.pyplot as plt

import pandas as pd

from numpy import *

f = open('wine.txt', 'r')

res = pd.read_csv(f)

f.close()

res = array(res)#此时的array是numpy里面的，不导入就用的话就会报错

print(res)

print(type(res))#<class 'numpy.ndarray'>

x = res[:, 1]

y = res[:, 2]

z = res[:, 3]

h = res[:, -1]#取得这个数据的最后一行

print(h)

plt.plot(x, h, label='the first', color='k')

plt.plot(y, h, label='the second', color='g')

plt.plot(z, h, label='the third', color='r')

plt.xlabel('input data')

plt.ylabel('label of data')

plt.title('Interesting Graph\nCheck it out')

plt.legend()

plt.show()