Using 'date' type for scatter xaxis fails when coordinates stored in Numpy array #1927
Description
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?
import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
import numpy as np
import pandas as pd
app = 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:
