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Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927

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Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927

Description

@jordanweaver
jordanweaver
opened on Nov 25, 2019

It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:

# plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)

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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
      Skip to content
      Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
      Closed
      Closed
      Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
      Description
      @jordanweaver
      jordanweaver
      opened on Nov 25, 2019
      It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
      # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
      This yields:
      image
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
          Skip to content
          Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
          Closed
          Closed
          Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
          Description
          @jordanweaver
          jordanweaver
          opened on Nov 25, 2019
          It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
          # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
          This yields:
          image
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try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
              Skip to content
              Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
              Closed
              Closed
              Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
              Description
              @jordanweaver
              jordanweaver
              opened on Nov 25, 2019
              It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
              # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
              This yields:
              image
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, 'i');
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try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
                  Skip to content
                  Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
                  Closed
                  Closed
                  Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
                  Description
                  @jordanweaver
                  jordanweaver
                  opened on Nov 25, 2019
                  It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
                  # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
                  This yields:
                  image
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, 'i');
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
                      Skip to content
                      Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
                      Closed
                      Closed
                      Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
                      Description
                      @jordanweaver
                      jordanweaver
                      opened on Nov 25, 2019
                      It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
                      # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
                      This yields:
                      image
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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '
Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
                          Skip to content
                          Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
                          Closed
                          Closed
                          Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
                          Description
                          @jordanweaver
                          jordanweaver
                          opened on Nov 25, 2019
                          It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
                          # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
                          This yields:
                          image
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                              None yet
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                              No branches or pull requests
                              Issue actions
                              
, 'i');
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Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array · Issue #1927 · plotly/plotly.py · GitHub
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                              Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
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                              Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array#1927
                              Description
                              @jordanweaver
                              jordanweaver
                              opened on Nov 25, 2019
                              It's possible (nay, likely) that I'm misunderstanding something but the docs indicate that Numpy arrays containing timestamps should be allowed. Yet, I'm currently having to cast this into a Pandas Series for it to work:
                              # plotly date axis bug?importdashimportdash_core_componentsasdccimportdash_html_componentsashtmlimportplotly.graph_objectsasgoimportnumpyasnpimportpandasaspdapp=dash.Dash(__name__)
timestamps=np.array(
[
'2017-05-24T23:00:21',
'2017-05-24T23:00:23',
'2017-05-24T23:00:25',
'2017-05-24T23:00:27',
'2017-05-24T23:00:29'
],
dtype='datetime64[ns]'
)
fake_data=np.arange(len(timestamps))
fig_working=go.Figure().add_scatter(
x=pd.Series(timestamps),
y=fake_data
).update_layout(xaxis_type='date')
fig_working_not_so_much=go.Figure().add_scatter(
x=timestamps,
y=fake_data
).update_layout(xaxis_type='date')
app.layout=html.Div(
[
html.H1("Working with a pandas.Series:"),
dcc.Graph(figure=fig_working),
html.H1("Same data in a numpy.array:"),
dcc.Graph(figure=fig_working_not_so_much),
html.H1("😿")
]
)
if__name__=='__main__':
app.run_server(debug=True)
                              This yields:
                              image
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