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Bumps [types-requests](https://github.com/python/typeshed) from 2.31.0.9
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Bumps [pytest-mock](https://github.com/pytest-dev/pytest-mock) from
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Bumps [seaborn](https://github.com/mwaskom/seaborn) from 0.12.2 to
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<blockquote>
<h2>v0.13.0 (September 2023)</h2>
<p><strong>See the <a
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for an annotated version of these notes with working links.</strong></p>
<p>This is a major release with a number of important new features and
changes. The highlight is a major overhaul to seaborn's categorical
plotting functions, providing them with many new capabilities and better
aligning their API with the rest of the library. There is also
provisional support for alternate dataframe libraries like <a
href="https://www.pola.rs">polars</a>, a new theme and display
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tags).</p>
<h2>Major enhancements to categorical plots</h2>
<p>Seaborn's <code>categorical functions <categorical_api></code>
have been completely rewritten for this release. This provided the
opportunity to address some longstanding quirks as well as to add a
number of smaller but much-desired features and enhancements.</p>
<h3>Support for numeric and datetime data</h3>
<p>The categorical functions have historically treated <em>all</em> data
as categorical, even when it has a numeric or datetime type. This can
now be controlled with the new <!-- raw HTML omitted -->native_scale<!--
raw HTML omitted --> parameter. The default remains <!-- raw HTML
omitted -->False<!-- raw HTML omitted --> to preserve existing behavior.
But with <!-- raw HTML omitted -->native_scale=True<!-- raw HTML omitted
-->, values will be treated as they would by other seaborn or matplotlib
functions. Element widths will be derived from the minimum distance
between two unique values on the categorical axis.</p>
<p>Additionally, while seaborn previously determined the mapping from
categorical values to ordinal positions internally, this is now
delegated to matplotlib. The change should mostly be transparent to the
user, but categorical plots (even with <!-- raw HTML omitted
-->native_scale=False<!-- raw HTML omitted -->) will better align with
artists added by other seaborn or matplotlib functions in most cases,
and matplotlib's interactive machinery will work better.</p>
<h3>Changes to color defaults and specification</h3>
<p>The categorical functions now act more like the rest of seaborn in
that they will produce a plot with a single main color unless the <!--
raw HTML omitted -->hue<!-- raw HTML omitted --> variable is assigned.
Previously, there would be an implicit redundant color mapping (e.g.,
each box in a boxplot would get a separate color from the default
palette). To retain the previous behavior, explicitly assign a redundant
<!-- raw HTML omitted -->hue<!-- raw HTML omitted --> variable (e.g.,
<!-- raw HTML omitted -->boxplot(data, x="x", y="y",
hue="x")<!-- raw HTML omitted -->).</p>
<p>Two related idiosyncratic color specifications are deprecated, but
they will continue to work (with a warning) for one release cycle:</p>
<ul>
<li>Passing a <!-- raw HTML omitted -->palette<!-- raw HTML omitted -->
without explicitly assigning <!-- raw HTML omitted -->hue<!-- raw HTML
omitted --> is no longer supported (add an explicitly redundant <!-- raw
HTML omitted -->hue<!-- raw HTML omitted --> assignment instead).</li>
<li>Passing a <!-- raw HTML omitted -->color<!-- raw HTML omitted -->
while assigning <!-- raw HTML omitted -->hue<!-- raw HTML omitted --> to
produce a gradient is no longer supported (use <!-- raw HTML omitted
-->palette="dark:{color}"<!-- raw HTML omitted --> or <!-- raw
HTML omitted -->palette="light:{color}"<!-- raw HTML omitted
--> instead).</li>
</ul>
<p>Finally, like other seaborn functions, the default palette now
depends on the variable type, and a sequential palette will be used with
numeric data. To retain the previous behavior, pass the name of a
qualitative palette (e.g., <!-- raw HTML omitted
-->palette="deep"<!-- raw HTML omitted --> for seaborn's
default). Accordingly, the functions have gained a parameter to control
numeric color mappings (<!-- raw HTML omitted -->hue_norm<!-- raw HTML
omitted -->).</p>
<h3>Other features, enhancements, and changes</h3>
<p>The following updates apply to multiple categorical functions.</p>
<ul>
<li>All functions now accept a <!-- raw HTML omitted -->legend<!-- raw
HTML omitted --> parameter, which can be a boolean (to suppress the
legend) or one of <!-- raw HTML omitted -->{"auto",
"brief", "full"}<!-- raw HTML omitted --> to control
the amount of information shown in the legend for a numerical color
mapping.</li>
<li>All functions now accept a callable <!-- raw HTML omitted
-->formatter<!-- raw HTML omitted --> parameter to control the string
representation of the data.</li>
<li>All functions that draw a solid patch now accept a boolean <!-- raw
HTML omitted -->fill<!-- raw HTML omitted --> parameter, which when set
to <!-- raw HTML omitted -->False<!-- raw HTML omitted --> will draw
line-art elements.</li>
<li>All functions that support dodging now have an additional <!-- raw
HTML omitted -->gap<!-- raw HTML omitted --> parameter that can be set
to a non-zero value to leave space between dodged elements.</li>
<li>The <code>boxplot</code>, <code>boxenplot</code>, and
<code>violinplot</code> functions now support a single <!-- raw HTML
omitted -->linecolor<!-- raw HTML omitted --> parameter.</li>
<li>The default value for <!-- raw HTML omitted -->dodge<!-- raw HTML
omitted --> has changed from <!-- raw HTML omitted -->True<!-- raw HTML
omitted --> to <!-- raw HTML omitted -->"auto"<!-- raw HTML
omitted -->. With <!-- raw HTML omitted -->"auto"<!-- raw HTML
omitted -->, elements will dodge only when at least one set of elements
would otherwise overlap.</li>
<li>When the value axis of the plot has a non-linear scale, the
statistical operations (e.g. an aggregation in <code>pointplot</code> or
the kernel density fit in <code>violinplot</code>) are now applied in
that scale space.</li>
<li>All functions now accept a <!-- raw HTML omitted -->log_scale<!--
raw HTML omitted --> parameter. With a single argument, this will set
the scale on the "value" axis (<em>opposite</em> the
categorical axis). A tuple will set each axis directly (although setting
a log scale categorical axis also requires <!-- raw HTML omitted
-->native_scale=True<!-- raw HTML omitted -->).</li>
<li>The <!-- raw HTML omitted -->orient<!-- raw HTML omitted -->
parameter now accepts <!-- raw HTML omitted
-->"x"/"y"<!-- raw HTML omitted --> to specify the
categorical axis, matching the objects interface.</li>
<li>The categorical functions are generally more deferential to the
user's additional matplotlib keyword arguments.</li>
<li>Using <!-- raw HTML omitted -->"gray"<!-- raw HTML omitted
--> to select an automatic gray value that complements the main palette
is now deprecated in favor of <!-- raw HTML omitted
-->"auto"<!-- raw HTML omitted -->.</li>
</ul>
<p>The following updates are function-specific.</p>
<ul>
<li>In <code>pointplot</code>, a single
<code>matplotlib.lines.Line2D</code> artist is now used rather than
adding separate <code>matplotlib.collections.PathCollection</code>
artist for the points. As a result, it is now possible to pass
additional keyword arguments for complete customization the appearance
of both the lines and markers; additionally, the legend representation
is improved. Accordingly, parameters that previously allowed only
partial customization (<!-- raw HTML omitted -->scale<!-- raw HTML
omitted -->, <!-- raw HTML omitted -->join<!-- raw HTML omitted -->, and
<!-- raw HTML omitted -->errwidth<!-- raw HTML omitted -->) are now
deprecated. The old parameters will now trigger detailed warning
messages with instructions for adapting existing code.</li>
<li>The bandwidth specification in <code>violinplot</code> better aligns
with <code>kdeplot</code>, as the <!-- raw HTML omitted -->bw<!-- raw
HTML omitted --> parameter is now deprecated in favor of <!-- raw HTML
omitted -->bw_method<!-- raw HTML omitted --> and <!-- raw HTML omitted
-->bw_adjust<!-- raw HTML omitted -->.</li>
<li>In <code>boxenplot</code>, the boxen are now drawn with separate
patch artists in each tail. This may have consequences for code that
works with the underlying artists, but it produces a better result for
low-alpha / unfilled plots and enables proper area/density scaling.</li>
<li>In <code>barplot</code>, the <!-- raw HTML omitted -->errcolor<!--
raw HTML omitted --> and <!-- raw HTML omitted -->errwidth<!-- raw HTML
omitted --> parameters are now deprecated in favor of a more general
<!-- raw HTML omitted -->err_kws<!-- raw HTML omitted -->` dictionary.
The existing parameters will continue to work for two releases.</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
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<li><a
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Update version metadata to 0.13.0</li>
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Assorted small doc updates (<a
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Avoid a matplotlib warning for strip/swarmplot with unfilled marker (<a
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Address a couple of warnings that turned up only in the docs (<a
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Fix catplot with kind='point' to avoid color warning (<a
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Set version string for v0.13.0rc0</li>
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Postpone some removals of deprecated features (<a
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Update release notes</li>
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Restore implicit hue for wide categorical data (<a
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Bumps [mypy](https://github.com/python/mypy) from 1.6.0 to 1.6.1.
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NER und Sentiment-Pipeline mit Services zur Datenextraktion.
---------
Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
Co-authored-by: TrisNol <tristan.nolde@yahoo.de>
- [x] add a cli to the webserver to take env variables into account
- [x] add a cli to the data processing that takes enviromental variable
as a valid source into account
- [x] rework the cli for the reset sql command
- [x] rework the cli for the copying of sql data from one db to another
The function is ment to transform the captial dict into a format that
can be added as a kwarg (**norm_capital(capital_dict) to the company
entities.
This PR only contains the function itself.
Filled out the mainter section.
Added a new description.
Added the path to the repo to the package.
Added the path to the documentation.
Co-authored-by: KM-R <129882581+KM-R@users.noreply.github.com>
Co-authored-by: Tristan Nolde <tristan.nolde@yahoo.de>
- added a Dockerfile for the thre containers
- added a workflow step to build and placing the container in the
registry
- added a docker-compose.yaml to use the build images
- added a docker compose to build the images locally and a script for
prebuild steps
Added UI elements to select a company and update shown data depending on chosen company
---------
Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
Create first dash board including header, basic company information and
finance plot
---------
Co-authored-by: Philipp Horstenkamp <philipp@horstenkamp.de>
