使用matplotlib绘制时间:TypeError:需要一个整数 [英] Plotting time with matplotlib: TypeError: an integer is required

问题描述

早上好！

有人可以帮我解决以下问题吗?预先谢谢你！

我有一个带有时间戳(小时、分钟、秒、毫秒)和物体亮度(浮动)的 CSV 文件，如下所示:

16、59、55、51 13.817,00,17,27 13.717,00,39,01 13.617,01,01,06 13.4

这是我的python脚本:

 将matplotlib.pyplot导入为plt导入csv从日期时间导入时间x = []y = []使用 open('calibrated.csv','r') 作为 csvfile:地块= csv.reader(csvfile，delimiter ='')对于图中的行:x.append(time(row [0]))y.append(float(row[1]))plt.plot(x,y, marker='o', label='brightness')plt.gca().invert_yaxis()plt.xlabel('时间[UT]')plt.ylabel('亮度[mag，CR]')plt.legend()plt.grid()plt.show()

运行脚本时，出现此TypeError:

回溯(最近一次调用最后一次):在第11行的文件"lightcurve.py"中x.append(时间(行[0]))TypeError:必须为整数

我做错了什么?

解决方案

发生错误是因为您将 strings 传递给

G'morning all!

Could somebody help me with the following problem? Thank you in advance!

I have a CSV file with time-stamps (hours,minutes,seconds,milliseconds) and brightness of an object in magnitudes (float), like this:

16,59,55,51 13.8
17,00,17,27 13.7
17,00,39,01 13.6
17,01,01,06 13.4

And here is my python script:

import matplotlib.pyplot as plt
import csv
from datetime import time

x = []
y = []

with open('calibrated.csv','r') as csvfile:
    plots = csv.reader(csvfile, delimiter=' ')
    for row in plots:
        x.append(time(row[0]))
        y.append(float(row[1]))

plt.plot(x,y, marker='o', label='brightness')
plt.gca().invert_yaxis()
plt.xlabel('time [UT]')
plt.ylabel('brightness [mag, CR]')
plt.legend()
plt.grid()
plt.show()

When I run the script, I get this TypeError:

Traceback (most recent call last):
  File "lightcurve.py", line 11, in 
    x.append(time(row[0]))
TypeError: an integer is required

What am I doing wrong?

解决方案

The error happens because you are passing strings to datetime.time() which requires integers

If we look at row[0], the result will be "16,59,55,51". So, this string has to be split up using row[0].split(",") which creates a list of strings. The contents of this list needs to be converted to integers using int(), and can then be passed to the datetime.time function.

Your code will become:

x = []
y = []

with open('calibrated.csv','r') as csvfile:
    plots = csv.reader(csvfile, delimiter=' ')
    for row in plots:
        hours,minutes,seconds,milliseconds = [int(s) for s in row[0].split(",")]

        x.append(time(hours,minutes,seconds,milliseconds))
        y.append(float(row[1]))

plt.plot(x,y, marker='o', label='brightness')
plt.gca().invert_yaxis()
plt.xlabel('time [UT]')
plt.ylabel('brightness [mag, CR]')
plt.legend()
plt.grid()
plt.show()

Which gives:

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