如何将此多折线图更改为条形图？

Question

我已经编写了一个 python 代码来生成多个折线图。我想将其更改为条形图，这样对于每个点(Time,pktCount)，我都会得到一个描述该时间值的条形图。

代码

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('C:\\Users\\Hp\\Documents\\XYZ.csv')
fig, ax = plt.subplots()
for i, group in df.groupby('Source'):
    group.plot(x='Time', y='PktCount', ax=ax,label=group["Source"].iloc[0])
ax.set_title("PktCount Sent by nodes")
ax.set_ylabel("PktCount")
ax.set_xlabel("Time (milliSeconds)")
#optionally only set ticks at years present in the years column
plt.legend(title="Source Nodes", loc=0, fontsize='medium', fancybox=True)
plt.show()

这是我的 csv 文件：

Source,Destination,Bits,Energy,PktCount,Time 1,3,320,9.999983999999154773195,1,0 3,1,96,9.999979199797145566758,1,1082 3,4,320,9.999963199267886912408,2,1773 4,3,96,9.999974399702292006927,1,2842 1,3,320,9.999947199998309546390,2,7832 3,1,96,9.999937599065032479166,3,8965 3,4,320,9.999921598535773824816,4,10421 4,3,96,9.999948799404584013854,2,11822 2,3,384,9.999907199998736846248,1,13796 3,2,96,9.999892798283143074166,5,14990 1,3,320,9.999886399997464319585,3,18137 3,4,384,9.999873597648032688946,6,18488 3,4,384,9.999854397012922303726,7,25385 4,3,96,9.999919999106876020781,3,26453 1,3,320,9.999831999996619092780,4,27220 3,1,96,9.999828796810067870484,8,28366 2,3,384,9.999823999997473692496,2,31677 3,2,96,9.999804796557437119834,9,32873 1,3,320,9.999787199995773865975,5,34239 3,1,96,9.999783996354582686592,10,35370 1,3,320,9.999766399994928639170,6,41536 3,1,96,9.999763196151728253350,11,42667 1,3,320,9.999745599994083412365,7,49060 3,1,96,9.999742395948873820108,12,50192 2,3,384,9.999742399996210538744,3,50720 3,2,96,9.999718395696243069458,13,51925

Answer 1

您可以在两个列表中显式收集 x 和 y 轴的值，然后分别绘制它们：-

import pandas as pd
import matplotlib.pyplot as plt

df = pd.read_csv('C:\\Users\\Hp\\Documents\\XYZ.csv')
fig, ax = plt.subplots()

x1, y1 = [], []
for i, group in df.groupby('Source'):
    #collecting all values in these lists
    x1.append(group['Time'].values.tolist()) 
    y1.append(group['PktCount'].values.tolist())

ax.set_title("PktCount Sent by nodes")
ax.set_ylabel("PktCount")
ax.set_xlabel("Time (milliSeconds)")

color_l = ['r', 'y', 'g', 'b']
i = 0
for a, b in zip(x1, y1):
    ax.bar(a, b, width = 400, color = color_l[i])
    i += 1

plt.legend(('1', '2', '3', '4'))
plt.show()