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EDA plot function #5

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dovahcrow opened this issue May 23, 2019 · 0 comments
Closed

EDA plot function #5

dovahcrow opened this issue May 23, 2019 · 0 comments

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@dovahcrow
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Goal: Plot function includes plot(df), plot(df, x="x") and plot(df, x="x", y="y")

Step 1: create intermediates
Step 2: plot graphs based on intermediates
shub970 added a commit that referenced this issue May 28, 2019
@shub970
feat (eda.plot) : Add plot(df, x, y) function.
9e5c6fa 
Added the function plot(df, x, y) to plot bi-variate graphs.

Close #5
shub970 added a commit that referenced this issue Jun 3, 2019
@shub970
refactor(eda.plot) : Code refactoring
18b45e0 
code refactoring #5

Signed-off-by: shub970 <laddha.shubham97@gmail.com>
dovahcrow pushed a commit that referenced this issue Jun 11, 2019
@shub970 @dovahcrow
feat(eda.plot): Implement plot(df), plot(df, x, y)
bc97963 
Added the function plot(df, x, y) to plot bi-variate graphs.
Close #5
peiwangdb pushed a commit that referenced this issue Mar 6, 2020
@dovahcrow @peiwangdb
author Weiyüen Wu <doomsplayer@gmail.com> 1557700645 -0700
e15cf08 
committer pei wang <pennyiscomputing@gmail.com> 1583453127 -0800

Initial commit

doc(meta): Add contributing guide and changelog

refactor(dataprep): Add project structure

feat(eda.plot): Implement plot(df) and plot(df,x,y)

Close #5

refactor(dataprep): creating package structure

ci(CircleCI): Add circleci

build(dataprep): Add pytype & pylint & pipenv

refactor(eda.plot): plot function combined into one.

feat(eda.plot): Implement QQ norm plot

And add mypy check

chore(dataprep): Add pull request template and chore commit type.

chore(dataprep): Add editor related directory to .gitignore

E.g. ",idea" and ".vscode"

feat(eda.plot_correlation): Implement the calculation of intermediates

feat(eda.plot_correlation): Impelment visualization

docs(CONTRIBUTING): add more guidelines about PR

feat(eda.plot_missing, eda.plot_correlation): implement plot_missing and plot_correlation

feat(eda.plot): Add visualization code for plot(df, ...)

fix(eda.plot_missing): fix the plot issue of categorical data

style(eda.plot_missing): revise the import order

build: lock in dependencies version and make setup.py PIpenv aware

fix(eda.plot): fix the number of bars and bins of plot

fix(eda.plot_missing): fix the color, too many categories and actual name

style(eda.plot_missing): disable too-many-statements

fix(eda.plot_correlation): node size, color, x-label and order

fix(eda.plot_correlation): acceleration and polish figures

fix(eda.plot_correlation): polish figures

fix(eda.plot_missing): fix the color, too many categories and actual name

 style(eda): format the code using black

chore(CONTRIBUTING): suggesting not having merge commits in PR

chore(README): add build status badge and contribution guideline

build: use black to do formatting

fix(eda.plot): Changed the histogram visualization, formatted x axis labels, added bars for missing values

Made aesthetic changes to the plot(df) function: changed the histogram visualization, formated labels, added additional bars for missing values, specify the number of plots that appear on each row e.g. plot(df, ncolumns=4).

fix(eda.plot): Fixed comments from the pull request

Fixed problems from the last pull request

fix(eda.plot): Made changes to test_plot.py so that all tests pass

Fixed comments. All tests passed with the changes I made to test_plot.py which were necessary to deal with missing values.

fix(eda.plot): Forgot to add viz_uni.py to earlier commit

Forgot to add viz_uni.py to my earlier commit

fix(eda.plot): Changed colours to match with new palette

Changed colours to match with new colour palette

fix(eda.plot): Ran black so the code is formatted

build(CircleCI): Remove docker cache

We reached the limit of the free plan.

fix(eda.plot): fixed problems with plot(df, x)

fix(eda.plot): fixed comments from pull request

fix(eda.plot): fixed additional comments from pull request

fix(eda.plot): removed unnecessary lines of code  and changed sorting key

fix(eda.plot_correlation): Fixed comments from the Trello

fix(plot_correlation): fix corresponding test

Fixed comments from the Trello

fix(eda.plot_correlation): Fixed comments from Trello

fix(eda.plot_correlation): Fixed comments from Trello

fix(eda.plot_correlation): Fixed comments from Trello

fix(eda.plot_correlation): Fixed comments from the Trello

fix(eda.plot_correlation): move sample_size to user function

docs: use sphinx to generate the doc

build: More compatibility for the dependencies

build: use anchor in the circleci yaml

fix(eda.plot_correlation): remove x label and self attention

feat(DataConnector): Merge DataConnector into Dataprep

Link to DataConnectorConfigs repo

build: switch to poetry from pipenv

fix(eda.plot_correlation): add document

fix(eda.plot_missing): add document

fix(eda.plot): merge conflict with render.py

fix(eda.plot): fixed comments from pull request and bugs found in testing

build: More compatibility for the dependencies

refactor(eda.correlation): refactor computing code

refactor(eda.correlation): refactor rendering code

fix(eda): make rest of the code runnable with the new code

feat(data_connector): implement OAuth2 ClientCredentials

implement show_schema

test

fix(eda.plot_missing): add row and columns limitation

fix(eda.plot_missing): add document

fix(eda.plot_missing): change num_rows to bins_num

fix(eda.plot_missing): fix bugs of bins_num

fix(eda.plot_missing): fix details according to Jinglin comment

fix(eda.plot_missing): fix color, colorbar and x-label

fix(eda.plot_missing): consistent with viz_uni.py

refactor(eda.missing): refactor the code into compute_* and render_*

Also removes holoview

feat(build): add poetry build to justfile

fix(eda.correlation): slightly tweak the heatmap visualization

fix(eda.correlation): Show top 30 if the cardinality is too large in the column

refactor(eda-basic): refactored some of the basic plot functions

refactor(eda-basic) finished refactoring the basic functions

refactor(eda-basic) removed show() from render

refactor(eda-basic): added the plot() function

fix(eda.basic): add sanity tests and minor fixes for CI

refactor(eda-basic): fixed comments from the pull request

feat(data_connector): Implement Github config file

fix(eda-basic): fixed the hover tooltip problem of when a column name contains a dash

feat(data_connector): Implement Github config file

chore: modify project info for first release

fix(eda): fix not recognizing categorical dtype

fix(eda-basic): fixed  bugs when numerical column set as categorical

fix(eda-basic): added ngroups for boxplot and formatted intervals for histogram

fix(eda-correlation): optimize the correlation calculation of scatter

refactor(eda.correlation): refactor for readability

fix(eda-basic): fixed categorical column when values are non-strings, and updated the box plots

fix(eda-basic): made plots get larger if ngroups or nsubgroups is large

fix(eda.missing): decrease the min y_range to 0 for histograms

The y_range min should be smaller than the minimal value in the column for histogram otherwise some bars are compressed down to the x-axis and are not visible.
Also fixes not cutting off # of bars in plot_missing(df, x, y).

fix(eda.missing): Fix the label order and boxplot color

fix(eda.missing): accurately calculate missing spectrum using map_blocks

fix(eda.missing): correctly handle categorical data type

fix(data_connector): should auto re-download config files if there's an update in the config repo

Update readme and examples

Add images

Fix readme image not working on pypi

v0.1.0

fix(eda.missing): make the tooltip style align with plot(df)

fix(eda.correlation): it works for the columns with missing values

fix(eda.correlation): plot_correlation only supports for numerical data

fix(eda-basic): fixed xtics for histograms

fix(eda-basic): commented code

fix(eda-basic): add variables for Jinglin comment

fix(eda.correlation): fix scatter and top-k nan

Committer: waterpine <songbian@zju.edu.cn>

docs(dataprep.eda): add documentation

add documentation for eda, plot, plot_correlation and plot_missing

fix(docs): fix warnings

fix(eda-basic): fixed xtic rounding

fix(eda-basic): improved plot(df) efficiency

feat(data-connector): support template

fix(eda.missing): fix parameter names

renew show schema

simple .info demo

refined show_schema and info methods

fix(dc.info): refined data_connector.info format

fix(dc.info): code revision

resolve conflict with master

refommat code

fixed type issue

further improve code

further improve code

blank

further improve code
dovahcrow pushed a commit that referenced this issue May 29, 2020
@shub970 @dovahcrow
feat(eda.plot): Implement plot(df) and plot(df,x,y)
9e6fd21 
Close #5
fatbuddy added a commit to fatbuddy/dataprep that referenced this issue Feb 10, 2024
@fatbuddy
Windows dependency fix sfu-db#5
9c5b95e
fatbuddy added a commit to fatbuddy/dataprep that referenced this issue Mar 15, 2024
@fatbuddy
Support on Python 3.12.x sfu-db#5
7f7102d
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