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Recent Releases of forestplot

forestplot - v0.4.1

What's Changed

  • Fix padding for data w/ 6 (or fewer) rows (resolves #52) by @LSYS in https://github.com/LSYS/forestplot/pull/117
  • Thanks to @jeanbaptisteb for providing the fix! (see https://github.com/LSYS/forestplot/issues/52#issuecomment-1972946620)

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.4.0...v0.4.1

- Jupyter Notebook
Published by LSYS almost 2 years ago

forestplot - Mplot

What's Changed

  • Mplot by @LSYS in https://github.com/LSYS/forestplot/pull/108

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp

dfmmodel = pd.readcsv("../examples/data/sleep-mmodel.csv").query( "model=='all' | model=='young kids'" )

fp.mforestplot( dataframe=dfmmodel, estimate="coef", ll="ll", hl="hl", varlabel="label", capitalize="capitalize", modelcol="model", coloraltrows=True, groupvar="group", table=True, rightannote=["var", "group"], right_annoteheaders=["Source", "Group"], xlabel="Coefficient (95% CI)", modellabels=["Have young kids", "Full sample"], xticks=[-1200, -600, 0, 600], mcolor=["#CC6677", "#4477AA"], # Additional kwargs for customizations **{ "markersize": 30, # override default vertical offset between models (0.0 to 1.0) "offset": 0.35,
"xlinestyle": (0, (10, 5)), # long dash for x-reference line "xlinecolor": ".8", # gray color for x-reference line }, ) ``` image

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.3.3...v0.4.0

- Jupyter Notebook
Published by LSYS over 2 years ago

forestplot - v0.3.3

What's Changed

  • Add axis object as argument to forest plot by @juancq in https://github.com/LSYS/forestplot/pull/73
  • Warn about duplicated varlabel (closes https://github.com/LSYS/forestplot/issues/76, closes https://github.com/LSYS/forestplot/issues/81).
  • Add test that above warning works.
  • Add known issues about duplicated varlabel (closes https://github.com/LSYS/forestplot/issues/76, closes https://github.com/LSYS/forestplot/issues/81) and PyCharm (closes https://github.com/LSYS/forestplot/issues/80).

New Contributors

  • @juancq made their first contribution in https://github.com/LSYS/forestplot/pull/73

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ``` image

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.3.2...v0.3.3

- Jupyter Notebook
Published by LSYS over 2 years ago

forestplot - v0.3.2

What's Changed

  • Patch to fix bug for newer matplotlib versions (by @LSYS in https://github.com/LSYS/forestplot/pull/85).
  • Thanks to @maikia for flagging and @Tian-hao for solution (#82).
  • No user-facing changes.

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ``` image

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.2.2...v0.3.2

- Jupyter Notebook
Published by LSYS over 2 years ago

forestplot - v0.3.1

What's Changed

No user-facing changes.

Pandas append API in the backend is deprecated and so replaced by concat. This should accommodate newer versions of Pandas, like the recent v2.0 release.

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ``` image

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.2.2...v0.3.1

- Jupyter Notebook
Published by LSYS about 3 years ago

forestplot - v0.3.0

What's Changed

Main user-facing change is that no drawing of CI (confidence intervals) is now possible.

  • Allow no drawing of CI #58
  • Update docs accordingly to reflect that ll and hl options are no longer required

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ``` image

No CI:

python fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size varlabel="label", # column containing variable label ) image

See the README for more customizations.

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.2.2...v0.3.0

- Jupyter Notebook
Published by LSYS about 3 years ago

forestplot - v0.2.2

What's Changed

  • Fix spacing issue at top of plot (fixes #48, #47)
  • Create notebook for some simple regression tests (closes #49)
  • Tidy imports using isort (closes #50)
  • Allowed thresholds and symbols for p-values to be passedthrough (fixes #51)
  • Fix different heigh and fontsize for confidence interval and p-value labels (fixes #53)
  • Update docs for RTD (closes #54)
  • Freeze matplotlib-inline dependency in setup.py (closes #56)

Forestplot

forestplot is a Python package to make publication-ready but customizable coefficient plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ```

See the README for more customizations.

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.2.0...v0.2.2

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - v0.2.1

What's Changed

  • Patch by @LSYS in https://github.com/LSYS/forestplot/pull/42

  • Remove excessive vertical whitespace

  • Add matplotlib-inline as requirement

  • Add note to save using bbox_inches="tight"

  • Add versioning

  • Add recipe to run readme-examples.ipynb notebook

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.2.0...v0.2.1

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - v0.2.0

What's Changed

  • Create workflow to check links in readme.md by @LSYS in https://github.com/LSYS/forestplot/pull/14
  • Patch by @LSYS in https://github.com/LSYS/forestplot/pull/16
  • Update docs & fix group subheadings order by @LSYS in https://github.com/LSYS/forestplot/pull/20
  • Add logscale option, make no string normalization the default by @LSYS in https://github.com/LSYS/forestplot/pull/34
  • add wheel to build, include a requirements_dev.txt and document by @shapiromatron in https://github.com/LSYS/forestplot/pull/35
  • Fix typo in readme by @shapiromatron in https://github.com/LSYS/forestplot/pull/31
  • Better backend for Confidence Intervals (closes #29)
  • Plotting of estimates on a log-scale (closes #28)
  • Maintain label character formatting (making no string normalisation the default, closes #27)

tldr

  • logscale is now an option
  • default is now not to normalize strings

New Contributors

  • @shapiromatron made their first contribution in https://github.com/LSYS/forestplot/pull/35

Full Changelog: https://github.com/LSYS/forestplot/compare/v0.0.4...v0.2.0

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - Release of Forestplot v0.1.0

forestplot is a Python package to make publication-ready but customizable forest plots.

  • GitHub repo: https://github.com/LSYS/forestplot
  • Docs: https://forestplot.readthedocs.io

To install via PyPI: console pip install forestplot

Quickstart: ```python import forestplot as fp df = fp.load_data("sleep") # companion example data

fp.forestplot(df, # the dataframe with results data estimate="r", # col containing estimated effect size ll="ll", hl="hl", # columns containing conf. int. lower and higher limits varlabel="label", # column containing variable label ylabel="Confidence interval", # y-label title xlabel="Pearson correlation" # x-label title ) ```

More customizations are available, for example:

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - Alpha

Bumping to v0.0.4 (set up CI/workflows)

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - Alpha

- Jupyter Notebook
Published by LSYS over 3 years ago

forestplot - Alpha

For alpha usage and testing of packaging.

- Jupyter Notebook
Published by LSYS almost 4 years ago