Only list-like objects are allowed to be passed to isn()
Question:
I have a dropdown menu:
dcc.Dropdown(
id="select",
options = list(all_df['Device'].unique()),
value = list(all_df['Device'].unique()[0])
)
dcc.Graph(id = 'shared'
, figure={}
),
to enable a selection of a device (or devices) to plot later on:
@app.callback(
Output("shared", "figure"),
Input("select", "value")
)
def update_signal_chart(select):
df4 = all_df[all_df['Device'].isin(select)]
(…)
and whatever I try, it’s always resulting in
TypeError: only list-like objects are allowed to be passed to isin(), you passed a [str]
or
TypeError: only list-like objects are allowed to be passed to isin(), you passed a nonetype
or the like. I don’t understand what I am doing wrongly resp. what I shall change into what. The data frame looks as:
all_df.head()
Out[63]:
time V+ ... I_fil Device
0 2022-09-27 11:56:22.733740 7.980062 ... 5.035886 A
1 2022-09-27 11:56:22.733940 7.982012 ... 5.032311 A
2 2022-09-27 11:56:22.734140 7.983312 ... 5.027761 A
3 2022-09-27 11:56:22.734340 7.983962 ... 5.022236 A
4 2022-09-27 11:56:22.734540 7.982987 ... 5.016711 A
Here is the entire code of the dash:
all_df = pd.read_csv("out.csv"
#, parse_dates=['time']
, dayfirst=True
, skiprows=4
, sep=","
, decimal='.')
df2 = all_df.melt(id_vars=['Device','time'], value_vars=['V+','V-','I_A', 'I_fil'])
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, title='Dashboard', external_stylesheets=external_stylesheets)
colors = {
'background': '#000000',
'text': '#f3ff00'
}
# Define the app
app.layout = html.Div(
children = [
html.Div([
html.H4('Dauertest'),
html.Div(children = ""),
# Draw graph
dcc.Graph(id = 'General'
, figure={}
),
]),
dcc.Checklist(
id="signals",
options = ['V+', 'V-', 'I_A', 'I_fil'],
value = ['V+', 'V-'],
inline=True
),
html.Br(),
html.Br(),
html.Br(),
# New row
html.Div([
html.Div([
dcc.Dropdown(
id="select",
options = list(all_df['Device'].unique()),
value = list(all_df['Device'].unique()[0])
),
dcc.Graph(id = 'shared'
, figure={}
),
#], className='six columns'),
], className='twelve columns'),
], className='row')
])
@app.callback(
Output("General", "figure"),
Input("signals", "value")
)
def update_line_chart(signals):
df3=df2[df2['variable'].isin(signals)]
fig_general = px.scatter(df3
, x = "time"
, y = 'value'
, color = 'Device'
, symbol = 'variable'
, hover_name = "Device"
, template = 'plotly_dark'
#, marginal_y="rug"
).update_layout(
transition_duration = 500
, autosize = True
, height = 700
)
return fig_general
@app.callback(
Output("shared", "figure"),
Input("select", "value")
)
def update_signal_chart(select):
# Subset data frame to choose between devices
# df4 = all_df[all_df['Device'].isin(select)]
df4 = all_df[all_df['Device'] == select]
fig_shared = make_subplots(rows = 4
, cols = 1
, shared_xaxes=True
, vertical_spacing=0.05
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['V+']
, mode = "markers"
, name="V+"
, connectgaps = False
#, hoverinfo = '"Device'
, marker=dict(
# color = 'LightSkyBlue'
# , size = 20
# , line = dict(
# color='MediumPurple'
# , width=2
# )
symbol = "circle"
)
)
, row=4
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['V-']
, name="V-"
, mode = "markers"
, marker=dict(
symbol = "star"
)
)
, row=3
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['I_A']
, name="I_A"
, mode = "markers"
, marker=dict(
symbol = "diamond"
)
)
, row=2
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['I_fil']
, name="I_fil"
, mode = "markers"
, marker=dict(
symbol = "x"
)
)
, row=1
, col=1
)
fig_shared.update_layout(
height= 1000
, width = 1900
, title_text = ""
, template = 'plotly_dark'
#, font=dict(
# family = "Courier New, monospace"
# , size = 18
# , color = "RebeccaPurple"
# )
)
fig_shared.show()
fig_shared['layout']['yaxis']['title'] = 'I_fil / A'
fig_shared['layout']['yaxis2']['title'] = 'I_A / A'
fig_shared['layout']['yaxis3']['title'] = 'V- / V'
fig_shared['layout']['yaxis4']['title'] = 'V+ / V'
return fig_shared
# Run the app
if __name__ == "__main__":
app.run_server(
debug=False
, port=8050
)
and the data: https://filebin.net/pag2dnsixti4ce9a
Answers:
isin function is used to compare a series against a list, not a series against a value (str type in your problem). That is why you got this error only list-like objects are allowed to be passed to isin().
In your case, you want to retrieve all rows based on the selected device from a dropdown menu. You can achieve that like so:
df4 = all_df.query('Device==@select')
I have a dropdown menu:
dcc.Dropdown(
id="select",
options = list(all_df['Device'].unique()),
value = list(all_df['Device'].unique()[0])
)
dcc.Graph(id = 'shared'
, figure={}
),
to enable a selection of a device (or devices) to plot later on:
@app.callback(
Output("shared", "figure"),
Input("select", "value")
)
def update_signal_chart(select):
df4 = all_df[all_df['Device'].isin(select)]
(…)
and whatever I try, it’s always resulting in
TypeError: only list-like objects are allowed to be passed to isin(), you passed a [str]
or
TypeError: only list-like objects are allowed to be passed to isin(), you passed a nonetype
or the like. I don’t understand what I am doing wrongly resp. what I shall change into what. The data frame looks as:
all_df.head()
Out[63]:
time V+ ... I_fil Device
0 2022-09-27 11:56:22.733740 7.980062 ... 5.035886 A
1 2022-09-27 11:56:22.733940 7.982012 ... 5.032311 A
2 2022-09-27 11:56:22.734140 7.983312 ... 5.027761 A
3 2022-09-27 11:56:22.734340 7.983962 ... 5.022236 A
4 2022-09-27 11:56:22.734540 7.982987 ... 5.016711 A
Here is the entire code of the dash:
all_df = pd.read_csv("out.csv"
#, parse_dates=['time']
, dayfirst=True
, skiprows=4
, sep=","
, decimal='.')
df2 = all_df.melt(id_vars=['Device','time'], value_vars=['V+','V-','I_A', 'I_fil'])
external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
app = dash.Dash(__name__, title='Dashboard', external_stylesheets=external_stylesheets)
colors = {
'background': '#000000',
'text': '#f3ff00'
}
# Define the app
app.layout = html.Div(
children = [
html.Div([
html.H4('Dauertest'),
html.Div(children = ""),
# Draw graph
dcc.Graph(id = 'General'
, figure={}
),
]),
dcc.Checklist(
id="signals",
options = ['V+', 'V-', 'I_A', 'I_fil'],
value = ['V+', 'V-'],
inline=True
),
html.Br(),
html.Br(),
html.Br(),
# New row
html.Div([
html.Div([
dcc.Dropdown(
id="select",
options = list(all_df['Device'].unique()),
value = list(all_df['Device'].unique()[0])
),
dcc.Graph(id = 'shared'
, figure={}
),
#], className='six columns'),
], className='twelve columns'),
], className='row')
])
@app.callback(
Output("General", "figure"),
Input("signals", "value")
)
def update_line_chart(signals):
df3=df2[df2['variable'].isin(signals)]
fig_general = px.scatter(df3
, x = "time"
, y = 'value'
, color = 'Device'
, symbol = 'variable'
, hover_name = "Device"
, template = 'plotly_dark'
#, marginal_y="rug"
).update_layout(
transition_duration = 500
, autosize = True
, height = 700
)
return fig_general
@app.callback(
Output("shared", "figure"),
Input("select", "value")
)
def update_signal_chart(select):
# Subset data frame to choose between devices
# df4 = all_df[all_df['Device'].isin(select)]
df4 = all_df[all_df['Device'] == select]
fig_shared = make_subplots(rows = 4
, cols = 1
, shared_xaxes=True
, vertical_spacing=0.05
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['V+']
, mode = "markers"
, name="V+"
, connectgaps = False
#, hoverinfo = '"Device'
, marker=dict(
# color = 'LightSkyBlue'
# , size = 20
# , line = dict(
# color='MediumPurple'
# , width=2
# )
symbol = "circle"
)
)
, row=4
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['V-']
, name="V-"
, mode = "markers"
, marker=dict(
symbol = "star"
)
)
, row=3
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['I_A']
, name="I_A"
, mode = "markers"
, marker=dict(
symbol = "diamond"
)
)
, row=2
, col=1
)
fig_shared.add_trace(go.Scattergl(
x = all_df['time']
, y = all_df['I_fil']
, name="I_fil"
, mode = "markers"
, marker=dict(
symbol = "x"
)
)
, row=1
, col=1
)
fig_shared.update_layout(
height= 1000
, width = 1900
, title_text = ""
, template = 'plotly_dark'
#, font=dict(
# family = "Courier New, monospace"
# , size = 18
# , color = "RebeccaPurple"
# )
)
fig_shared.show()
fig_shared['layout']['yaxis']['title'] = 'I_fil / A'
fig_shared['layout']['yaxis2']['title'] = 'I_A / A'
fig_shared['layout']['yaxis3']['title'] = 'V- / V'
fig_shared['layout']['yaxis4']['title'] = 'V+ / V'
return fig_shared
# Run the app
if __name__ == "__main__":
app.run_server(
debug=False
, port=8050
)
and the data: https://filebin.net/pag2dnsixti4ce9a
isin function is used to compare a series against a list, not a series against a value (str type in your problem). That is why you got this error only list-like objects are allowed to be passed to isin().
In your case, you want to retrieve all rows based on the selected device from a dropdown menu. You can achieve that like so:
df4 = all_df.query('Device==@select')