Matplotlib .fill_between()偏移量-1

时间:2017-05-26 10:58:00

标签: python python-3.x pandas matplotlib

我是新手,并试图在我的图表上.fill_between()两行。我已经尝试了我能想到的所有内容以确保基础数据是正确的,但每次我绘制图表时,.fill_between()在x轴上显示的一个值比应该的值短。 这是我的代码:

df_combo = pd.read_csv('MySampleData.csv')
max_hist_temps = df_combo['hist_max']
min_hist_temps = df_combo['hist_min']
plt.figure()
plt.plot(max_hist_temps, '-.r'
        , min_hist_temps, '-.b'
        )
plt.gca().fill_between(range(len(max_hist_temps)),
        min_hist_temps, max_hist_temps,
        facecolor='blue',
        alpha = 0.25)
ax = plt.gca()
ax.axis([0,364,-45,45])
plt.show()

以下是一些示例数据:

Day_of_Year hist_min    hist_max
1                -16    15.6
2               -26.7   13.9
3               -26.7   13.3
4               -26.1   10.6
5                -15    12.8
6                -26.6  18.9
7               -30.6   21.7
8               -29.4   19.4
9               -27.8   17.8

感谢您的帮助, 我

2 个答案:

答案 0 :(得分:4)

问题是您没有正确指定fill_between的x参数。您正在传递从{0开始的range(len(...)),而您的Day_of_Year从1开始,因此是1偏移。

[另外,我认为您的示例不完整,因为您应该说Day_of_Year为数据索引。]

要解决您的问题,请在max_hist_temp函数中将fill_between索引作为x参数传递:

plt.gca().fill_between(max_hist_temps.index,   # CHANGED HERE
        min_hist_temps, max_hist_temps,
        facecolor='blue',
        alpha = 0.25)

答案 1 :(得分:1)

您可能希望将数据框的Day_of_Year列用作实际的x值,而不是其他索引。

import io
import pandas as pd
import matplotlib.pyplot as plt

u = u"""Day_of_Year hist_min    hist_max
1                -16    15.6
2               -26.7   13.9
3               -26.7   13.3
4               -26.1   10.6
5                -15    12.8
6                -26.6  18.9
7               -30.6   21.7
8               -29.4   19.4
9               -27.8   17.8"""



df_combo = pd.read_csv(io.StringIO(u), delim_whitespace=True)
max_hist_temps = df_combo['hist_max']
min_hist_temps = df_combo['hist_min']
plt.figure()
plt.plot(df_combo['Day_of_Year'], max_hist_temps, '-.r',
         df_combo['Day_of_Year'], min_hist_temps, '-.b'
        )
plt.gca().fill_between(df_combo['Day_of_Year'],
        min_hist_temps, max_hist_temps,
        facecolor='blue',
        alpha = 0.25)
ax = plt.gca()
ax.axis([0,10,-45,45])
plt.show()

enter image description here