Remove deps on pandas

<https://github.com/ydb-platform/ydb/pull/14418>

<https://github.com/ydb-platform/ydb/pull/14419>
\-- аналогичные правки в gh

Хочу залить в обход синка, чтобы посмотреть удалится ли pandas в нашей gh репе через piglet
commit_hash:abca127aa37d4dbb94b07e1e18cdb8eb5b711860

1 files changed, 0 insertions, 157 deletions

diff --git a/contrib/python/matplotlib/py3/mpl_toolkits/axes_grid1/axes_rgb.py b/contrib/python/matplotlib/py3/mpl_toolkits/axes_grid1/axes_rgb.py
deleted file mode 100644
index 52fd707e870..00000000000
--- a/contrib/python/matplotlib/py3/mpl_toolkits/axes_grid1/axes_rgb.py
+++ /dev/null
@@ -1,157 +0,0 @@
-from types import MethodType
-
-import numpy as np
-
-from .axes_divider import make_axes_locatable, Size
-from .mpl_axes import Axes, SimpleAxisArtist
-
-
-def make_rgb_axes(ax, pad=0.01, axes_class=None, **kwargs):
-    """
-    Parameters
-    ----------
-    ax : `~matplotlib.axes.Axes`
-        Axes instance to create the RGB Axes in.
-    pad : float, optional
-        Fraction of the Axes height to pad.
-    axes_class : `matplotlib.axes.Axes` or None, optional
-        Axes class to use for the R, G, and B Axes. If None, use
-        the same class as *ax*.
-    **kwargs
-        Forwarded to *axes_class* init for the R, G, and B Axes.
-    """
-
-    divider = make_axes_locatable(ax)
-
-    pad_size = pad * Size.AxesY(ax)
-
-    xsize = ((1-2*pad)/3) * Size.AxesX(ax)
-    ysize = ((1-2*pad)/3) * Size.AxesY(ax)
-
-    divider.set_horizontal([Size.AxesX(ax), pad_size, xsize])
-    divider.set_vertical([ysize, pad_size, ysize, pad_size, ysize])
-
-    ax.set_axes_locator(divider.new_locator(0, 0, ny1=-1))
-
-    ax_rgb = []
-    if axes_class is None:
-        axes_class = type(ax)
-
-    for ny in [4, 2, 0]:
-        ax1 = axes_class(ax.get_figure(), ax.get_position(original=True),
-                         sharex=ax, sharey=ax, **kwargs)
-        locator = divider.new_locator(nx=2, ny=ny)
-        ax1.set_axes_locator(locator)
-        for t in ax1.yaxis.get_ticklabels() + ax1.xaxis.get_ticklabels():
-            t.set_visible(False)
-        try:
-            for axis in ax1.axis.values():
-                axis.major_ticklabels.set_visible(False)
-        except AttributeError:
-            pass
-
-        ax_rgb.append(ax1)
-
-    fig = ax.get_figure()
-    for ax1 in ax_rgb:
-        fig.add_axes(ax1)
-
-    return ax_rgb
-
-
-class RGBAxes:
-    """
-    4-panel `~.Axes.imshow` (RGB, R, G, B).
-
-    Layout::
-
-        ┌───────────────┬─────┐
-        │               │  R  │
-        │               ├─────┤
-        │      RGB      │  G  │
-        │               ├─────┤
-        │               │  B  │
-        └───────────────┴─────┘
-
-    Subclasses can override the ``_defaultAxesClass`` attribute.
-    By default RGBAxes uses `.mpl_axes.Axes`.
-
-    Attributes
-    ----------
-    RGB : ``_defaultAxesClass``
-        The Axes object for the three-channel `~.Axes.imshow`.
-    R : ``_defaultAxesClass``
-        The Axes object for the red channel `~.Axes.imshow`.
-    G : ``_defaultAxesClass``
-        The Axes object for the green channel `~.Axes.imshow`.
-    B : ``_defaultAxesClass``
-        The Axes object for the blue channel `~.Axes.imshow`.
-    """
-
-    _defaultAxesClass = Axes
-
-    def __init__(self, *args, pad=0, **kwargs):
-        """
-        Parameters
-        ----------
-        pad : float, default: 0
-            Fraction of the Axes height to put as padding.
-        axes_class : `~matplotlib.axes.Axes`
-            Axes class to use. If not provided, ``_defaultAxesClass`` is used.
-        *args
-            Forwarded to *axes_class* init for the RGB Axes
-        **kwargs
-            Forwarded to *axes_class* init for the RGB, R, G, and B Axes
-        """
-        axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
-        self.RGB = ax = axes_class(*args, **kwargs)
-        ax.get_figure().add_axes(ax)
-        self.R, self.G, self.B = make_rgb_axes(
-            ax, pad=pad, axes_class=axes_class, **kwargs)
-        # Set the line color and ticks for the axes.
-        for ax1 in [self.RGB, self.R, self.G, self.B]:
-            if isinstance(ax1.axis, MethodType):
-                ad = Axes.AxisDict(self)
-                ad.update(
-                    bottom=SimpleAxisArtist(ax1.xaxis, 1, ax1.spines["bottom"]),
-                    top=SimpleAxisArtist(ax1.xaxis, 2, ax1.spines["top"]),
-                    left=SimpleAxisArtist(ax1.yaxis, 1, ax1.spines["left"]),
-                    right=SimpleAxisArtist(ax1.yaxis, 2, ax1.spines["right"]))
-            else:
-                ad = ax1.axis
-            ad[:].line.set_color("w")
-            ad[:].major_ticks.set_markeredgecolor("w")
-
-    def imshow_rgb(self, r, g, b, **kwargs):
-        """
-        Create the four images {rgb, r, g, b}.
-
-        Parameters
-        ----------
-        r, g, b : array-like
-            The red, green, and blue arrays.
-        **kwargs
-            Forwarded to `~.Axes.imshow` calls for the four images.
-
-        Returns
-        -------
-        rgb : `~matplotlib.image.AxesImage`
-        r : `~matplotlib.image.AxesImage`
-        g : `~matplotlib.image.AxesImage`
-        b : `~matplotlib.image.AxesImage`
-        """
-        if not (r.shape == g.shape == b.shape):
-            raise ValueError(
-                f'Input shapes ({r.shape}, {g.shape}, {b.shape}) do not match')
-        RGB = np.dstack([r, g, b])
-        R = np.zeros_like(RGB)
-        R[:, :, 0] = r
-        G = np.zeros_like(RGB)
-        G[:, :, 1] = g
-        B = np.zeros_like(RGB)
-        B[:, :, 2] = b
-        im_rgb = self.RGB.imshow(RGB, **kwargs)
-        im_r = self.R.imshow(R, **kwargs)
-        im_g = self.G.imshow(G, **kwargs)
-        im_b = self.B.imshow(B, **kwargs)
-        return im_rgb, im_r, im_g, im_b