如何确保 matplotlib 折线图正确?
How to make sure matplotlib line graph is correct?
我需要通过 matplotlib 绘制一个准确的折线图,但我只得到一个 y=x 图。并且 y 轴刻度值混乱了。
import numpy as np
import matplotlib.pyplot as plt
title = "Number of Flats Constructed"
data = np.genfromtxt('C:\data/flats-constructed-by-housing-and-development-board-annual.csv',
skip_header=1,
dtype=[('year','i8'),('flats_constructed','U50')], delimiter=",",
missing_values=['na','-'],filling_values=[0])
x = data['year']
y = data['flats_constructed']
plt.title('No. of Flats Constructed over the Years')
#plt.plot(data['year'], data['flats_constructed'])
plt.plot(x, y)
plt.show()
我收到的是 y=x 图表,而不是反映值的锯齿状图表。
实际产量
预期输出样本
你的错误在('flats_constructed','U50')
。
将它作为 ('flats_constructed','i8')
本身。当你给 U50 时,你把它读成字符串。
from io import StringIO
import numpy as np
s = StringIO(u"1977,30498\n1978,264946\n1979,54666\n1980,54666")
data = np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','i8')], delimiter=",",skip_header=0)
data
plt.plot(data['myint'],data['myfloat'])
plt.show()
我需要通过 matplotlib 绘制一个准确的折线图,但我只得到一个 y=x 图。并且 y 轴刻度值混乱了。
import numpy as np
import matplotlib.pyplot as plt
title = "Number of Flats Constructed"
data = np.genfromtxt('C:\data/flats-constructed-by-housing-and-development-board-annual.csv',
skip_header=1,
dtype=[('year','i8'),('flats_constructed','U50')], delimiter=",",
missing_values=['na','-'],filling_values=[0])
x = data['year']
y = data['flats_constructed']
plt.title('No. of Flats Constructed over the Years')
#plt.plot(data['year'], data['flats_constructed'])
plt.plot(x, y)
plt.show()
我收到的是 y=x 图表,而不是反映值的锯齿状图表。
实际产量
预期输出样本
你的错误在('flats_constructed','U50')
。
将它作为 ('flats_constructed','i8')
本身。当你给 U50 时,你把它读成字符串。
from io import StringIO
import numpy as np
s = StringIO(u"1977,30498\n1978,264946\n1979,54666\n1980,54666")
data = np.genfromtxt(s, dtype=[('myint','i8'),('myfloat','i8')], delimiter=",",skip_header=0)
data
plt.plot(data['myint'],data['myfloat'])
plt.show()