使用csv文件中的matplotlib在python中绘制时间序列图

问题描述：

我有以下格式的csv数据.

I have some csv data in the following format.

Ln    Dr    Tag Lab    0:01    0:02    0:03    0:04    0:05    0:06    0:07    0:08   0:09
L0   St     vT  4R       0       0       0       0       0      0        0       0      0
L2   Tx     st  4R       8       8       8       8       8      8        8       8      8
L2   Tx     ss  4R       1       1       9       6       1      0        0       6      7

我想使用列(Ln，Dr，Tg，Lab)作为键并使用0:0n字段作为时间序列图上的值来绘制时间序列图.

I want to plot a timeseries graph using the columns (Ln , Dr, Tg,Lab) as the keys and the 0:0n field as values on a timeseries graph.

我有以下代码.

#!/usr/bin/env python

import matplotlib.pyplot as plt
import datetime
import numpy as np
import csv
import sys


with open("test.csv", 'r', newline='') as fin:
    reader = csv.DictReader(fin)
    for row in reader:
          key = (row['Ln'], row['Dr'], row['Tg'],row['Lab'])
          #code to extract the values and plot a timeseries.

我如何提取0:0n列中的所有值，而无需工业界指定每个值.我希望所有时间序列都绘制在一个时间序列上?

How do I extract all the values in columns 0:0n without induviduall specifying each one of them. I want all the timeseries to be plotted on a single timeseries?

答

我建议使用 pandas :

import pandas as pd
a=pd.read_csv('yourfile.txt',delim_whitespace=True)
for x in a.iterrows():
    x[1][4:].plot(label=str(x[1][0])+str(x[1][1])+str(x[1][2])+str(x[1][3]))

plt.ylim(-1,10)
plt.legend()

使用csv文件中的matplotlib在python中绘制时间序列图

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