streamlit-jupyter | Simple Python package to preview and develop streamlit apps | Data Manipulation library

by ddobrinskiy Jupyter Notebook Version: 0.2.1 License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | streamlit-jupyter Summary

streamlit-jupyter is a Jupyter Notebook library typically used in Utilities, Data Manipulation applications. streamlit-jupyter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Simple Python package to preview and develop streamlit apps in jupyter notebooks

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Quality

Security

License

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Support

streamlit-jupyter has a low active ecosystem.

It has 103 star(s) with 7 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 7 open issues and 6 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of streamlit-jupyter is 0.2.1

Quality

streamlit-jupyter has no bugs reported.

Security

streamlit-jupyter has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

streamlit-jupyter is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

streamlit-jupyter releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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streamlit-jupyter Key Features

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streamlit-jupyter Examples and Code Snippets

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Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install streamlit-jupyter

You can download it from GitHub.

Support

Refer to excellent [streamlit docs](https://docs.streamlit.io/library/api-reference) for more details on each method. | method | docstring | |:------------------------------|:-----------------------------------------------------------------------------------------| | st.cache_data | Implements the public st.cache_data API: the @st.cache_data decorator, and | | st.cache_resource | Implements the public st.cache_resource API: the @st.cache_resource decorator, | | st.cache | Function decorator to memoize function executions. | | st.caption | Display text in small font. | | st.checkbox | Display a checkbox widget. | | st.code | Display a code block with optional syntax highlighting. | | st.dataframe | Display a dataframe as an interactive table. | | st.date_input | Display a date input widget. | | st.expander | Insert a multi-element container that can be expanded/collapsed. | | st.experimental_data_editor | Display a data editor widget. | | st.header | Display text in header formatting. | | st.json | Display object or string as a pretty-printed JSON string. | | st.latex | Display mathematical expressions formatted as LaTeX. | | st.markdown | Display string formatted as Markdown. | | st.metric | Display a metric in big bold font, with an optional indicator of how the metric changed. | | st.multiselect | Display a multiselect widget. | | st.radio | Display a radio button widget. | | st.selectbox | Display a select widget. | | st.subheader | Display text in subheader formatting. | | st.text_area | Display a multi-line text input widget. | | st.text_input | Display a single-line text input widget. | | st.text | Write fixed-width and preformatted text. | | st.title | Display text in title formatting. | | st.write | Write arguments to the app. |.

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