我在Dash应用程序上创建了一个plotly express面积图。图表运行良好,但x轴上的第一个点和最后一个点似乎脱离了图表,只能看到一半(如附加屏幕截图所示)。我还尝试更改了graph的宽度和高度值,但似乎没有任何效果。 我是python和dash的新手,所以如果有任何帮助,我将不胜感激。我也在stack overflow上发布了我的第一个问题,所以如果我错过了任何东西或没有正确完成它,我将表示歉意
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import plotly.express as px
import pandas as pd
import pyodbc
import dash_bootstrap_components as dbc
from datetime import datetime as dt
from app import app
page2 = html.Div(
[
dbc.Row(
[
dbc.Col(
# dbc.Card(
html.Div(
id="opportunity_heatmap",
className="chart_div pretty_container",
children = [
dcc.Graph(id='my_graph',
config={
'staticPlot': False, # True, False
'scrollZoom': True, # True, False
'doubleClick': 'reset', # 'reset', 'autosize' or 'reset+autosize', False
'showTips': True, # True, False
'displayModeBar': 'hover', # True, False, 'hover'
'watermark': False,
# 'modeBarButtonsToRemove': ['pan2d','select2d'],
},
)
]
),
# color="light", inverse=True),
md=12,
),
],
no_gutters=True,
),
]
)
@app.callback(
Output('my_graph','figure'),
[Input('my_dropdown','value')]
)
def build_graph(trendGraph):
dff=SQL_data
fig = px.area(dff, x="DeploymentDate", y="DeploymentID", text='DeploymentID', color = 'DeploymentType' ,template='plotly_white'
,category_orders={'DeploymentDate':['January-2019','February-2019','March-2019','April-2019','May-2019','June-2019','July-2019','August-2019','September-2019','October-2019','November-2019','December-2019','January-2020','February-2020','March-2020','April-2020','May-2020','June-2020','July-2020','August-2020','September-2020','October-2020','November-2020','December-2020','January-2021','February-2021']})
fig.update_layout(yaxis={'title':'No. of deployments'},
title={'text':'Deployments Trend',
'font':{'size':28},'x':0.5,'xanchor':'center'},
autosize=True,)
return fig
def get_page2():
return page2
在绘图上绘制的内容不能溢出网格布局,否则放大时,我们不仅会看到文本值,还会看到整个图形延伸到网格之外
显示这些值的唯一方法是缩小一点,这意味着相应地初始化图
x_range
。其思想是从相应的dataframe列中获取最小值和最大值,并根据需要扩展该范围例如,此处添加4年允许完全显示y值(x轴上有年的一般用例,@seehttps://plotly.com/python/filled-area-plots/):
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