此代码从 google finance 获取一条直线的 2 个坐标,并将第三个点放在同一条直线上一定距离处。
import datetime as dt
from datetime import timedelta as td
import matplotlib.pyplot as plt
from matplotlib import style
import pandas as pd
import pandas_datareader.data as web
import numpy as np
start = dt.datetime(2017, 7, 1)
end = dt.datetime(2017, 3, 1)
# retrieving data from google
df = web.DataReader('TSLA', 'google', start, )
Dates = df.index
Highs = df['High'] # Getting only the values from the 'High' Column.
Highest_high = np.amax(Highs) # returns the Highest value
for i, h in enumerate(Highs):
if h == Highest_high :
Highests_index = i
#Highests_index = Highs.argmax() # returns the index of Highest value
Highest_high_2 = sorted(Highs)[-2]
for i, j in enumerate(Highs):
if j == Highest_high_2 :
Highests_index_2 = i
#================Problem Maybe starting from here========================
x = [Highests_index, Highests_index_2]
y = [Highest_high, Highest_high_2]
coefficients = np.polyfit(x, y, 1)
polynomial = np.poly1d(coefficients)
# the np.linspace lets you set number of data points, line length.
x_axis = np.linspace(3,Highests_index_2 + 1, 3)
y_axis = polynomial(x_axis)
plt.plot(x_axis, y_axis)
plt.plot(x[0], y[0], 'go')
plt.plot(x[1], y[1], 'go')
plt.plot(Dates, Highs)
plt.grid('on')
plt.show()
大量Traceback出现如下错误
dt = datetime.datetime.fromordinal(ix).replace(tzinfo=UTC)
ValueError: ordinal must be >= 1
当我不使用 datetime 和 pandas 只绘制数值时,上面的代码运行良好。我认为问题可能出在日期时间或 matplotlib 中。
我知道这个问题可能看起来重复,但我无法将我的问题与此处的任何其他解决方案联系起来。
最佳答案
错误是由于matplotlib无法找到x轴值沿x轴的位置。
前两行的绘图具有 x 轴的数值,而第三行试图在同一轴上绘制 datetime
。在绘制第三行 plt.plot(Dates, Highs)
时,matplotlib 试图找到日期的 x 轴位置,但失败并出现错误。
关于python - 值错误 : ordinal must be >= 1,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/45257475/