Data Science

This issue is reserved for the Data Umbrella Africa & Middle East Sprint on October 23, 2021 as a good first issue. For non-sprint contributors, please wait till October 30, 2021 to work on this issue.

1. Make sure you have the development dependencies and [documentation

Owner can not click and edit on the chart name when open a saved chart, can only do click edit when creating a new chart.

How to reproduce the bug

1, Explore saved chart own by you
2, Hover mouse over to chart's title
3, Click on chart title

Expected results

1,Should see tooltip "Click to edit"
2,Title is successfully edit and saved

Actual results

There is no opportunit

Search before asking

• I searched the issues and found no similar issues.

Ray Component

Others

What happened + What you expected to happen

When calling an asynchronus map function (map, starmap) on a Pool from ray.util.multiprocessing, the callback is, in contrast to python.multiprocessing.Poo.map_asyn(), not called once

Summary

When in wide mode, the "Made with Streamlit" footer isn't aligned with the page content. We should fix that!

Is this a regression?

no

Debug info

• Streamlit version: 1.0.0

🚀 Feature

Add support

print(str(MyDataModule()))

Motivation

It currently prints:

<__main__.MyDataModule object at 0x10284c970>

Pitch

It could print the DataLoader structure:

MyDataModule(
    train_dataloader: {"a": DataLoaderClass(batch_size=8, num_batches=16, num_workers=2), "b":  DataLoaderClass(batch_size=2, num_bat

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

1. remove the following code from IPython/init.py

# Make it easy to import extensions - they are always directly on pythonpath.
# Therefore, non-IPython modules can be added to extensions directory.
# This should probably be in ipapp.py.
sys.path.append(os.path.join(os.path.dirname(__file__), "extensions"))

There is a context manager in laod_extension that takes care of this

Bug summary

The ax.invertxaxis() and ax.invert_yaxis() function both produce the same output, a scatterplot with a flipped X axis.

Code for reproduction

from mpl_toolkits import mplot3d
import matplotlib.pyplot as plt

ax = plt.axes(projection='3d')
plt.title("Invert Z")
ax.scatter3D(1,1,1)
# ax.invert_xaxis()
ax.invert_yaxis()
# ax.invert_zaxis()

Actual o

Is your feature request related to a problem? Please describe.
I typically used compressed datasets (e.g. gzipped) to save disk space. This works fine with AllenNLP during training because I can write my dataset reader to load the compressed data. However, the predict command opens the file and reads lines for the Predictor. This fails when it tries to load data from my compressed files.

Discussed in microsoft/nni#4070

[2021-08-14 10:13:41] INFO (NNIDataStore) Datastore initialization done
[2021-08-14 10:13:41] INFO (RestServer) RestServer start
[2021-08-14 10:13:41] INFO (RestServer) RestServer base port is 8080
[2021-08-14 10:13:41] I