		Metadata-Version: 2.1
		Name: plotly-calplot
		Version: 0.1.10
		Version: 0.1.11
		Summary: Calendar Plot made with Plotly
		@@ -5,0 +5,0 @@ Home-page: https://github.com/brunorosilva/plotly-calplot

+2

-12

plotly_calplot/calplot.py

		from datetime import date
		from typing import Dict, Any
		from typing import Any, Dict

		from pandas import DataFrame, Series, Grouper
		from pandas import DataFrame, Grouper, Series
		from plotly import graph_objects as go
		@@ -64,3 +64,2 @@ from plotly.subplots import make_subplots
		years_title: bool = False,
		width: int = 800,
		colorscale: str = "greens",
		@@ -110,5 +109,2 @@ title: str = "",

		width : int = 800
		controls the width of the plot

		colorscale : str = "greens"
		@@ -168,3 +164,2 @@ controls the colorscale for the calendar, works
		dark_theme=dark_theme,
		width=width,
		gap=gap,
		@@ -190,3 +185,2 @@ title=title,
		gap: int = 2,
		width: int = 400,
		colorscale: str = "greens",
		@@ -220,5 +214,2 @@ title: str = "",

		width : int = 400
		controls the width of the plot

		colorscale : str = "greens"
		@@ -264,3 +255,2 @@ controls the colorscale for the calendar, works
		dark_theme=dark_theme,
		width=width,
		height=total_height,
		@@ -267,0 +257,0 @@ title=title,

+3

-4

plotly_calplot/layout_formatter.py

		@@ -1,2 +0,2 @@
		from typing import Any, List
		from typing import Any, List, Optional

		@@ -99,4 +99,3 @@ import pandas as pd
		layout: go.Layout,
		width: Any,
		total_height: Any,
		total_height: Optional[int],
		) -> go.Figure:
		@@ -106,3 +105,3 @@ fig.update_layout(layout)
		fig.update_yaxes(layout["yaxis"])
		fig.update_layout(width=width, height=total_height)
		fig.update_layout(height=total_height)
		fig.add_traces(cplt, rows=[(row + 1)] * len(cplt), cols=[1] * len(cplt))
		@@ -109,0 +108,0 @@ return fig

+1

-2

plotly_calplot/single_year_calplot.py

		@@ -25,3 +25,2 @@ from pandas.core.frame import DataFrame
		gap: int = 1,
		width: int = 800,
		colorscale: str = "greens",
		@@ -57,4 +56,4 @@ title: str = "",
		layout = decide_layout(dark_theme, title, month_names, month_positions)
		fig = update_plot_with_current_layout(fig, cplt, row, layout, width, total_height)
		fig = update_plot_with_current_layout(fig, cplt, row, layout, total_height)

		return fig

+1

-1

pyproject.toml

		[tool.poetry]
		name = "plotly_calplot"
		version = "0.1.10"
		version = "0.1.11"
		description = "Calendar Plot made with Plotly"
		@@ -5,0 +5,0 @@ authors = ["Bruno Rodrigues Silva <b.rosilva1@gmail.com>"]

+1

-1

setup.py

		@@ -23,3 +23,3 @@ # -- coding: utf-8 --
		'name': 'plotly-calplot',
		'version': '0.1.10',
		'version': '0.1.11',
		'description': 'Calendar Plot made with Plotly',
		@@ -26,0 +26,0 @@ 'long_description': '# Calendar Heatmap with Plotly\nMaking it easier to visualize and costumize time relevant or time series data with plotly interaction.\n\nNew to the library? Read [this Medium article](https://medium.com/@brunorosilva/5fc322125db7).\n\nThis plot is a very similar to the contribuitions available on Github and Gitlab profile pages and to [Calplot](https://github.com/tomkwok/calplot) - which is a pyplot implementation of the calendar heatmap, thus it is not interactive right off the bat.\n\nThe first mention I could find of this plot being made with plotly was in [this forum post](https://community.plotly.com/t/colored-calendar-heatmap-in-dash/10907/16) and it got my attention as something it should be easily available to anyone.\n\n# Installation\n``` bash\npip install plotly-calplot\n```\n\n# Examples\n\nIn [this Medium article](https://medium.com/@brunorosilva/5fc322125db7) I covered lot\'s of usage methods for this library.\n``` python\nfrom plotly_calplot import calplot\n\nfig = calplot(df, x="date", y="value")\nfig.show()\n# you can also adjust layout and your usual plotly stuff\n```\n\n<img src="https://github.com/brunorosilva/plotly-calplot/blob/main/assets/images/example.png?raw=true">\n',

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