Reputation: 4398
I have a same dataframe, df, that I have styled and created a line chart in Plotly. I have included an animation feature, yet the chart seems to be giving an error.
Size Date POD
0.027289 11/1/2020 S
0.013563 11/1/2020 S
0.058498 11/1/2020 S
0.281953 11/1/2020 S
0.479725 11/1/2020 S
0.007358 11/1/2020 S
0.075818 11/1/2020 S
0.069744 11/1/2020 S
0.029844 11/1/2020 S
0.38383 11/1/2020 S
0.3451 11/1/2020 S
0.034024 11/1/2020 S
0.292939 11/1/2020 S
0.208562 11/1/2020 S
0.013108 11/1/2020 S
This is what I am doing
import plotly.express as px
import plotly.graph_objects as go
fig = px.scatter(df1, x = "Date", y = "Size", color = "POD",title = "POD Growth in US",
animation_frame="Date",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90],labels = {"Size": "Size in TB"})
fig.update_layout(
font_family="Arial",
font_color="black",
title_font_family="Arial",
title_font_color="black",
legend_title_font_color="black"
)
fig.update_xaxes(title_font_family="Arial")
fig.update_layout(
title={
'text': "POD Growth in US",
'y':0.9,
'x':0.5,
'xanchor': 'center',
'yanchor': 'top'})
fig.update_traces(marker=dict(size=8,
line=dict(width=1,
color='DarkSlateGrey')),
selector=dict(mode='markers'))
fig.show()
I think the problem lies within this line of code here but I am not 100% sure with what I am doing wrong:
animation_frame="Date",
log_x=True, size_max=55, range_x=[100,100000], range_y=[25,90]
The error I get:
Invalid value of type 'pandas._libs.tslibs.timestamps.Timestamp' received for the 'name' property
of frame
Received value: Timestamp('2020-09-01 00:00:00
The 'name' property is a string and must be specified as:
- A string
- A number that will be converted to a string
Would I have to do a conversion to the "Date" column to resolve the issue?
Here is the graph I am wanting to animate:
Upvotes: 2
Views: 934
Reputation: 19565
I am not sure if your candlestick animation will run as intended, but changing the Date
column of your DataFrame from a Timestamp to a string (using the datetime library) should resolve the error.
import datetime as dt
df1['Date'] = df1['Date'].map(lambda x: x.strftime('%m/%d/%Y'))
Upvotes: 1