使用Python的多个列的实时数据框架的图动态图

发布于 2025-02-13 16:39:26 字数 955 浏览 2 评论 0原文

我正在尝试使用实时数据绘制动态图。以下是示例数据框，其中每30秒钟后我想添加我从其他功能收集的数据。

动态数据帧

    TIME  CE_15750  CE_15800  CE_15850  CE_15900  CE_15950   PE_16000  PE_16050  PE_16100  PE_16150  PE_16200  PE_16250
0  18:54     -5146    -58520    -22849    -78925    -20435     59348     10805      5877       -22      2182     519
1  18:55    -20435    -30990     37085       108     -4634     13528      27239     64451     46905     83803    815

我正在尝试以下代码以绘制图形，但它也没有给出预期的输出

def draw_method():           

    while True:
        plt.cla()
        temp_var = live_data()
        final_dataframe = pd.DataFrame(temp_var)
        final_dataframe.set_index('TIME').plot(figsize = (10,5),grid=True)
        plt.gcf()
        plt.show()
        sleep(30) #30 seconds sleep to add updated data field in dataframe

，我如何为具有 ce _ 和单颜色的所有列提供单一颜色和 pe _ 在图中？我得到的图表的每行都有不同的颜色。

非常感谢您的帮助

原文

I'm trying to plot dynamic graph with live data.
Below is sample dataframe in which after every 30 seconds I want to add data which I'm collecting from other function.

Dynamic DataFrame

    TIME  CE_15750  CE_15800  CE_15850  CE_15900  CE_15950   PE_16000  PE_16050  PE_16100  PE_16150  PE_16200  PE_16250
0  18:54     -5146    -58520    -22849    -78925    -20435     59348     10805      5877       -22      2182     519
1  18:55    -20435    -30990     37085       108     -4634     13528      27239     64451     46905     83803    815

I'm trying below code to plot graph but its not giving expected output

def draw_method():           

    while True:
        plt.cla()
        temp_var = live_data()
        final_dataframe = pd.DataFrame(temp_var)
        final_dataframe.set_index('TIME').plot(figsize = (10,5),grid=True)
        plt.gcf()
        plt.show()
        sleep(30) #30 seconds sleep to add updated data field in dataframe

also, how can I give single color for all columns which has CE_ and single color to PE_ in graph? The graph I'm getting had different color for each line.

Thanks so much for help

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情话已封尘 2025-02-20 16:39:26

尝试一下。告诉我情况如何。值得注意的是，我的变化如下。我非常怀疑您是否想每30秒显示一次以上的窗口，因此我从您那里拿出了plt.show（）。而且我利用了Funcanimation，因为那个家伙将多次调用您的数据框架，并为您更新。非常有用。

from matplotlib.animation import FuncAnimation


def draw_method():           
    plt.cla()
    temp_var = live_data()
    final_dataframe = pd.DataFrame(temp_var)
    final_dataframe.set_index('TIME').plot(figsize = (10,5),grid=True)

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

plt.tight_layout()
plt.show()

temp_var = live_data()
final_dataframe = pd.DataFrame(temp_var)

Try this. And tell me how it went. Is worth noting, my changes were the following. I highly doubt you want to make more than one window be displayed every 30 seconds so i took out plt.show() from you func. And i utilized the FuncAnimation, cause that guy is going to call your dataframe multiple times, and update it for you. Very usefull.

from matplotlib.animation import FuncAnimation


def draw_method():           
    plt.cla()
    temp_var = live_data()
    final_dataframe = pd.DataFrame(temp_var)
    final_dataframe.set_index('TIME').plot(figsize = (10,5),grid=True)

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

plt.tight_layout()
plt.show()

temp_var = live_data()
final_dataframe = pd.DataFrame(temp_var)

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