python动态横道图,用Python绘制-甘特图的极限

I have a dataframe like this which is an application log:

+---------+----------------+----------------+---------+----------+-------------------+------------+

| User | ReportingSubId | RecordLockTime | EndTime | Duration | DurationConverted | ActionType |

+---------+----------------+----------------+---------+----------+-------------------+------------+

| User 5 | 21 | 06:19.6 | 06:50.5 | 31 | 00:00:31 | Edit |

| User 4 | 19 | 59:08.6 | 59:27.6 | 19 | 00:00:19 | Add |

| User 25 | 22 | 29:09.4 | 29:37.0 | 28 | 00:00:28 | Edit |

| User 10 | 19 | 28:36.9 | 33:37.0 | 300 | 00:05:00 | Add |

| User 27 | 22 | 13:27.7 | 16:54.9 | 207 | 00:03:27 | Edit |

| User 5 | 21 | 11:22.8 | 12:37.3 | 75 | 00:01:15 | Edit |

+---------+----------------+----------------+---------+----------+-------------------+------------+

I wanted to visualize the duration of adds and edits for each user, ad Gantt Chart seemed ideal for me.

I was able to do it for a sample dataframe of 807 rows with the following code:

data = []

for row in df_temp.itertuples():

data.append(dict(Task=str(row.User), Start=str(row.RecordLockTime), Finish=str(row.EndTime), Resource=str(row.ActionType)))

colors = {'Add': 'rgb(110, 244, 65)',

'Edit': 'rgb(244, 75, 66)'}

fig = ff.create_gantt(data, colors=colors, index_col='Resource', show_colorbar=True, group_tasks=True)

for i in range(len(fig["data"]) - 2):

text = "User: {}
Start: {}
Finish: {}
Duration: {}
Number of Adds: {}
Number of Edits: {}".format(df_temp["User"].loc[i],

df_temp["RecordLockTime"].loc[i],

df_temp["EndTime"].loc[i],

df_temp["DurationConverted"].loc[i],

counts[counts["User"] == df_temp["User"].loc[i]]["Add"].iloc[0],

counts[counts["User"] == df_temp["User"].loc[i]]["Edit"].iloc[0])

fig["data"][i].update(text=text, hoverinfo="text")

fig['layout'].update(autosize=True, margin=dict(l=150))

py.iplot(fig, filename='gantt-group-tasks-together', world_readable=True)

and I am more than happy with the result : https://plot.ly/~pawelty/90.embed

However my original df has more users and 2500 rows in total. That seems to be too much for plotly. I get 502 error.

I am a huge fan of plotly but I might have reached it's limit. Can I change something in order to visualize it with Plotly ? Any other tool I could use?

解决方案

I started using plotly.offline.plot(fig) to plot offline and it worked much faster and I got less errors. I also have the problem that my graph doesn't get displayed or sometimes only in fullscreen mode...

I import plotly instead of plotly.plotly though, otherwise it doesn't work.