Hi there,
I have successfully used dcc.upload with px.scatter (code below), however when I use dcc.upload for px.scatter_3D I get the error ‘NoneType’ object has no attribute ‘split’. I am not sure how to get rid of the error as my codes are identical so am confused as to why it works in a 2D scatter but not 3D.
Any help would be appreciated! Thank you!
1)px.scatter
import base64
import io
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import pandas as pd
import plotly.express as px
import flask
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
server = flask.Flask(__name__)
app = dash.Dash(__name__, external_stylesheets=external_stylesheets, server=server)
app.layout = html.Div([
html.Div([dcc.Upload(
id='data-table-upload',
children=html.Div(['Drag and Drop or ',
html.A('Select Files')
]),
style={
'width': '70%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px 15%'
},
multiple=False
),
]),
html.Div([dcc.Graph(id='my-graph')], style={'display': 'inline-block', 'width': '70%', 'height':'75%'}),
html.Div([
html.Div([html.Label(["Select X variable:",
dcc.Dropdown(id='xaxis-anim', multi=False, placeholder="Select an option for X")],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(["Select Y variable:",
dcc.Dropdown(id='yaxis-anim', multi=False, placeholder='Select an option for Y')],
className="six columns"
), ], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(
["Select Size variable:",
dcc.Dropdown(id='saxis-anim', multi=False, placeholder='Select an option for Size')],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(
["Select Color variable:",
dcc.Dropdown(id="caxis-anim", multi=False, placeholder='Select an option for Color')],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'})
],
style={'display': 'inline-block', 'width': '23%', })
])
def parse_contents(contents, filename):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
try:
if 'csv' in filename:
# Assume that the user uploaded a CSV file
return pd.read_csv(
io.StringIO(decoded.decode('utf-8')))
elif 'xls' in filename:
# Assume that the user uploaded an excel file
return pd.read_excel(io.BytesIO(decoded))
elif 'txt' or 'tsv' in filename:
return pd.read_csv(
io.StringIO(decoded.decode('utf-8')), delimiter=r'\s+'
)
except Exception as e:
print(e)
return html.Div([
'There was an error processing this file.'
])
# POPULATE X AXIS DROPDOWN ANIM
@app.callback(Output('xaxis-anim', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_xaxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE Y AXIS DROPDOWN ANIM
@app.callback(Output('yaxis-anim', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_yaxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE C AXIS DROPDOWN ANIM
@app.callback(Output('caxis-anim', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_caxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE S AXIS DROPDOWN ANIM
@app.callback(Output('saxis-anim', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_saxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
@app.callback(Output('my-graph', 'figure'),
[Input('data-table-upload', 'contents'),
Input('xaxis-anim', 'value'),
Input('yaxis-anim', 'value'),
Input('caxis-anim', 'value'),
Input('saxis-anim', 'value')],
[State('data-table-upload', 'filename')]
)
def update_figure(contents, x, y, color, size, filename):
df = parse_contents(contents, filename)
return px.scatter(df, x=df[x], y=df[y], title="", animation_frame="Pressure (bar)",
animation_group=df.columns[0], size=df[size], color=df[color],
hover_name=df.columns[0], color_continuous_scale='Viridis',
hover_data={}, template="none",
).update_xaxes(showgrid=False, title=x, autorange=True, ticks='outside',
showline=True, showspikes=True, mirror=True).update_yaxes(
showgrid=False, title=y, autorange=True, ticks='outside', showspikes=True,
showline=True, mirror=True ).update_layout(
clickmode='event+select', hovermode='closest', margin={}, autosize=True
).update_traces(marker=dict(opacity=0.7, showscale=True, line=dict(width=0.5, color='DarkSlateGrey'),
colorbar=dict(title=color)))
app.run_server(debug=False)
- px.scatter_3d
import plotly.express as px
import pandas as pd
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import flask
import json
from textwrap import dedent as d
import base64
import io
server = flask.Flask(__name__)
app = dash.Dash(__name__, server=server)
styles = {
'pre': {
}
}
tabs_styles = {}
tab_style = {
}
tab_selected_style = {
}
app.layout = html.Div(
[
html.H1("Adsorption and Advanced Materials Group", style={'textAlign': 'center', 'size': '18',
'font-family': 'Arial'}),
html.Div(" ", style={'textAlign': 'center', 'size': '14'}),
html.Div([
dcc.Tabs([
dcc.Tab(label='MOF explorer', style=tab_style, selected_style=tab_selected_style,
children=[
html.Div([dcc.Upload(
id='data-table-upload',
children=html.Div(['Drag and Drop or ',
html.A('Select Files')
]),
style={
'width': '70%',
'height': '60px',
'lineHeight': '60px',
'borderWidth': '1px',
'borderStyle': 'dashed',
'borderRadius': '5px',
'textAlign': 'center',
'margin': '10px 15%'
},
multiple=False
),
]),
html.Div([dcc.Graph(id="graph"
), html.Div([
dcc.Markdown(d("""
***Click Data
Click on points in the graph.
""")),
html.Pre(id='click-data', style=styles['pre']),
], style={'fontSize': 14, 'font-family': ' Arial', 'padding': 50, 'float': 'left'}
)],
style={"width": "70vw", "display": "inline-block"}),
html.Div([
html.Div([html.Label(["Select X variable:",
dcc.Dropdown(id='xaxis-3D', multi=False,
placeholder="Select an option for X",
)],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(["Select Y variable:",
dcc.Dropdown(id='yaxis-3D', multi=False,
placeholder='Select an option for Y')],
className="six columns"
), ], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(["Select Z variable:",
dcc.Dropdown(id='zaxis-3D', multi=False,
placeholder='Select an option for Z')],
className="six columns"
), ], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(
["Select Size variable:",
dcc.Dropdown(id='saxis-3D', multi=False, placeholder='Select an option for Size',
)],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'}),
html.Div([html.Label(
["Select Color variable:",
dcc.Dropdown(id="caxis-3D", multi=False,
placeholder='Select an option for Color')],
className="six columns"
)], style={'width': '170%', 'display': 'inline-block'})
],
style={'display': 'inline-block', 'width': '23%', })
,
]),
dcc.Tab(label='Statistical Analysis', style=tab_style, selected_style=tab_selected_style,
children=[
dcc.Graph(id='stat-plot')
])], style=tabs_styles)
])
], style={} # style for outter div
)
def parse_contents(contents, filename):
content_type, content_string = contents.split(',')
decoded = base64.b64decode(content_string)
try:
if 'csv' in filename:
# Assume that the user uploaded a CSV file
return pd.read_csv(
io.StringIO(decoded.decode('utf-8')))
elif 'xls' in filename:
# Assume that the user uploaded an excel file
return pd.read_excel(io.BytesIO(decoded))
elif 'txt' or 'tsv' in filename:
return pd.read_csv(
io.StringIO(decoded.decode('utf-8')), delimiter=r'\s+'
)
except Exception as e:
print(e)
return html.Div([
'There was an error processing this file.'
])
# POPULATE X AXIS DROPDOWN 3D
@app.callback(Output('xaxis-3D', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_xaxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE Y AXIS DROPDOWN 3D
@app.callback(Output('yaxis-3D', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_yaxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE Z AXIS DROPDOWN 3D
@app.callback(Output('zaxis-3D', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_zaxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE S AXIS DROPDOWN 3D
@app.callback(Output('saxis-3D', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_saxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
# POPULATE C AXIS DROPDOWN 3D
@app.callback(Output('caxis-3D', 'options'),
[Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def populate_caxis_dropdown(contents, filename):
df = parse_contents(contents, filename)
return [{'label': i, 'value': i} for i in df.columns]
@app.callback(Output("graph", "figure"),
[Input('xaxis-3D', "value"),
Input('yaxis-3D','value'),
Input('zaxis-3D','value'),
Input('caxis-3D','value'),
Input('saxis-3D','value'),
Input('data-table-upload', 'contents')],
[State('data-table-upload', 'filename')])
def make_figure(x, y, z, color, size, contents, filename):
df = parse_contents(contents, filename)
return px.scatter_3d(df, x=df[x], y=df[y], z=df[z], title="MOF Explorer", animation_frame="Pressure (bar)",
animation_group="DDEC code", size=df[size], color=df[color],
hover_name=df.columns[0], color_continuous_scale='Viridis',
hover_data={}, template="plotly_white",
).update_xaxes(showgrid=False, title=x, autorange=True).update_yaxes(
showgrid=False, title=y, autorange=True).update_layout(
clickmode='event+select', hovermode='closest', margin={'l': 50, 'b': 80, 't': 50, 'r': 10}, autosize=True
).update_traces(marker=dict(opacity=0.7, showscale=True, line=dict(width=0.5, color='DarkSlateGrey'),
colorbar=dict(title=color)))
@app.callback(
Output('click-data', 'children'),
[Input('graph', 'clickData'),
])
def display_click_data(clickData):
return json.dumps(clickData, indent=2)
app.run_server(debug=True)