tikzplotlib
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nschloe
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Added support for dashed (and other) types of gridline. Fixes #498. ### Changes * Updated pre-commit config * Changed unsupported use of minor linestyle in logplot test * Moved cmap...
fixes #410 by enforcing UTF-8 encoding for standalone latex files (issue warning if user supplied encoding is not adhered)
* Apply `_common_texification` to legend entries, similar to Axes titles and labels. * Fix failing pre-commit config due to incompatible dependencies (https://github.com/psf/black/issues/2964) Fixes #538
When I try to use tikzplotlib to gert a plot with a colorbar similar to all the tests given in https://github.com/nschloe/tikzplotlib/blob/main/tests/test_colorbars.py it either returns a .tex with no colorbar in...
Matplotlib provides a keyword `rasterized`, which allows the user to control what should be rendered as a bitmap and what shouldn't. Unfortunately for some figures it is necessary to compromise...
Some options for markers in line plots are currently not supported, but would be nice to have. According to the [matplotlib docs](https://matplotlib.org/stable/api/_as_gen/matplotlib.lines.Line2D.html#matplotlib.lines.Line2D.set_markevery), `markevery` can be an integer, tuple, slice, etc....
# Description When providing colors via the `c` argument in the format of a 2D-array, valid according to [matplotlib](https://matplotlib.org/stable/api/_as_gen/matplotlib.axes.Axes.scatter.html), the resulting tikz file does not compile. ## MWE ``` import...
# Description When performing `scatter` combined with a `cmap` and `alpha`, the `alpha` value is ignored by tikzplotlib. ## MWE ``` import numpy as np from matplotlib import pyplot as...
Hi, I have created a plot where I want to have the ticks only at specific positions: ``` import numpy as np import matplotlib.pyplot as plt import tikzplotlib K =...
Hi, I tried to plot simple histogram with dashed grid, ``` import matplotlib.pyplot as plt import tikzplotlib x = [1, 2, 3, 3, 2, 2, 4, 5, 2, 2, 3]...
