在 plotly 仪表板上添加两个已创建的数字。

问题描述 投票:0回答:0

我有两个用 plotly 创建的数字,它们在自己的函数中创建,以保持逻辑有序。我知道使用 plotly 可以通过在 .add_trace() 函数中生成数字来添加数字到子图中,但我想添加我的两个预制数字。有什么方法可以做到这一点,或者我需要在.add_trace()函数中工作我的两个函数的逻辑,以创建他们的数字?

这是我的两个函数,它制作了我的两个数字。

def bar_chart_sentiment(negative, mixed, neutral, positive):
    x = ["negative", "mixed", "neutral", "positive"]
    y = [negative, mixed, neutral, positive]

    sentiment_chart = go.Figure(data=[go.Bar(
        x=x, y=y,
        hovertext=[f'{((negative / 25) * 100)}%', f'{((mixed / 25) * 100)}%', f'{((neutral / 25) * 100)}%',
                   f'{((positive / 25) * 100)}%'],
        textposition='auto',
    )])

    sentiment_chart.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
                      marker_line_width=1.5, opacity=0.6)

    sentiment_chart.update_layout(
        title="Sentiment of r/wallstreetbets",
        xaxis_title="Sentiment",
        yaxis_title="Amount",
        font=dict(
            family="Courier New, monospace",
            size=18,
            color="#7f7f7f"
        )
    )

    return sentiment_chart


def bar_chart_entities(content):
    nltk.download('punkt')
    nltk.download('stopwords')

    tokenized_word = word_tokenize(content)
    stop_words = set(stopwords.words("english"))
    filtered_sent = []

    for w in tokenized_word:
        if w not in stop_words:
            filtered_sent.append(w)
    fdist = FreqDist(filtered_sent)
    fd = pd.DataFrame(fdist.most_common(10), columns=["Word", "Frequency"]).drop([0]).reindex()

    entities_chart = px.bar(fd, x="Word", y="Frequency")
    entities_chart.update_traces(marker_color='rgb(158,202,225)', marker_line_color='rgb(8,48,107)',
                      marker_line_width=1.5, opacity=0.6)


    entities_chart.update_layout(
        title="Top 10 Words of r/wallstreetbets",
        font=dict(
            size=18,
            color="#7f7f7f"
        )
    )

    return entities_chart



def dashboard(sentiment_chart, entities_chart):
    # Here is where the subplot should be made and my two pre-made charts added to the subplot

python plotly data-analysis
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