熊猫每分钟的值总和[重复]

Question

此问题已经在这里有了答案：

Pandas group-by and sum（7个答案）

[<9小时前关闭。

我的文本文件越来越大，其数据如下。它得到实时更新，并且数量不断增加。

count,time
1,2020-04-06 21:57:00
2,2020-04-06 21:57:00
3,2020-04-06 21:57:00
4,2020-04-06 21:57:00
5,2020-04-06 21:57:00
6,2020-04-06 21:57:00
7,2020-04-06 21:58:00
8,2020-04-06 21:58:00
9,2020-04-06 21:59:00
10,2020-04-06 21:59:00
11,2020-04-06 21:59:00
12,2020-04-06 22:00:00
13,2020-04-06 22:00:00
14,2020-04-06 22:01:00
15,2020-04-06 22:01:00
16,2020-04-06 22:02:00

我想如下绘制每分钟的计数总和。
2020-04-06 21:57:00      21
2020-04-06 21:58:00      15
2020-04-06 21:59:00      30
2020-04-06 22:00:00      25
2020-04-06 22:01:00      29
2020-04-06 22:02:00      16
下面的代码是我尝试过的。
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation

plt.style.use('fivethirtyeight')

x_vals = []
y_vals = []

index = count()


def animate(i):
    data = pd.read_csv('output.txt')
    data['time'] = pd.to_datetime(data['time'])
    data = data.set_index(['time'])
    x = data.index
    y1 = data.groupby(pd.TimeGrouper('1Min')).sum()

    plt.cla()

    plt.plot(x, y1, label='count')
    plt.xticks(rotation=90)

    plt.legend(loc='upper left')
    plt.tight_layout()


ani = FuncAnimation(plt.gcf(), animate, interval=1000)

plt.tight_layout()
plt.show()

但是，此代码给出以下错误。
ValueError: x and y must have same first dimension, but have shapes (16,) and (6, 1)

Answer 1

def animate(i):
    data = pd.read_csv('output.txt')
    data['time'] = pd.to_datetime(data['time'])
    data = .groupby('time')['count'].sum()
    x = data.index
    y1 = data['count']
    plt.cla()

    plt.plot(x, y1, label='count')
    plt.xticks(rotation=90)

    plt.legend(loc='upper left')
    plt.tight_layout()