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, 228 deletions

diff --git a/contrib/python/matplotlib/py2/mpl_toolkits/axes_grid1/axes_rgb.py b/contrib/python/matplotlib/py2/mpl_toolkits/axes_grid1/axes_rgb.py
deleted file mode 100644
index e62d4f06154..00000000000
--- a/contrib/python/matplotlib/py2/mpl_toolkits/axes_grid1/axes_rgb.py
+++ /dev/null
@@ -1,228 +0,0 @@
-from __future__ import (absolute_import, division, print_function,
-                        unicode_literals)
-
-import six
-
-import numpy as np
-from .axes_divider import make_axes_locatable, Size, locatable_axes_factory
-import sys
-from .mpl_axes import Axes
-
-
-def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True):
-    """
-    pad : fraction of the axes height.
-    """
-
-    divider = make_axes_locatable(ax)
-
-    pad_size = Size.Fraction(pad, Size.AxesY(ax))
-
-    xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
-    ysize = Size.Fraction((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:
-        try:
-            axes_class = locatable_axes_factory(ax._axes_class)
-        except AttributeError:
-            axes_class = locatable_axes_factory(type(ax))
-
-    for ny in [4, 2, 0]:
-        ax1 = axes_class(ax.get_figure(),
-                         ax.get_position(original=True),
-                         sharex=ax, sharey=ax)
-        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)
-
-    if add_all:
-        fig = ax.get_figure()
-        for ax1 in ax_rgb:
-            fig.add_axes(ax1)
-
-    return ax_rgb
-
-
-def imshow_rgb(ax, r, g, b, **kwargs):
-    ny, nx = r.shape
-    R = np.zeros([ny, nx, 3], dtype="d")
-    R[:,:,0] = r
-    G = np.zeros_like(R)
-    G[:,:,1] = g
-    B = np.zeros_like(R)
-    B[:,:,2] = b
-
-    RGB = R + G + B
-
-    im_rgb = ax.imshow(RGB, **kwargs)
-
-    return im_rgb
-
-
-class RGBAxesBase(object):
-    """base class for a 4-panel imshow (RGB, R, G, B)
-
-    Layout:
-    +---------------+-----+
-    |               |  R  |
-    +               +-----+
-    |      RGB      |  G  |
-    +               +-----+
-    |               |  B  |
-    +---------------+-----+
-
-    Attributes
-    ----------
-    _defaultAxesClass : matplotlib.axes.Axes
-        defaults to 'Axes' in RGBAxes child class.
-        No default in abstract base class
-    RGB : _defaultAxesClass
-        The axes object for the three-channel imshow
-    R : _defaultAxesClass
-        The axes object for the red channel imshow
-    G : _defaultAxesClass
-        The axes object for the green channel imshow
-    B : _defaultAxesClass
-        The axes object for the blue channel imshow
-    """
-    def __init__(self, *kl, **kwargs):
-        """
-        Parameters
-        ----------
-        pad : float
-            fraction of the axes height to put as padding.
-            defaults to 0.0
-        add_all : bool
-            True: Add the {rgb, r, g, b} axes to the figure
-            defaults to True.
-        axes_class : matplotlib.axes.Axes
-
-        kl :
-            Unpacked into axes_class() init for RGB
-        kwargs :
-            Unpacked into axes_class() init for RGB, R, G, B axes
-        """
-        pad = kwargs.pop("pad", 0.0)
-        add_all = kwargs.pop("add_all", True)
-        try:
-            axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
-        except AttributeError:
-            new_msg = ("A subclass of RGBAxesBase must have a "
-                       "_defaultAxesClass attribute. If you are not sure which "
-                       "axes class to use, consider using "
-                       "mpl_toolkits.axes_grid1.mpl_axes.Axes.")
-            six.reraise(AttributeError, AttributeError(new_msg),
-                        sys.exc_info()[2])
-
-        ax = axes_class(*kl, **kwargs)
-
-        divider = make_axes_locatable(ax)
-
-        pad_size = Size.Fraction(pad, Size.AxesY(ax))
-
-        xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
-        ysize = Size.Fraction((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 = []
-        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)
-            ax1.axis[:].toggle(ticklabels=False)
-            ax_rgb.append(ax1)
-
-        self.RGB = ax
-        self.R, self.G, self.B = ax_rgb
-
-        if add_all:
-            fig = ax.get_figure()
-            fig.add_axes(ax)
-            self.add_RGB_to_figure()
-
-        self._config_axes()
-
-    def _config_axes(self, line_color='w', marker_edge_color='w'):
-        """Set the line color and ticks for the axes
-
-        Parameters
-        ----------
-        line_color : any matplotlib color
-        marker_edge_color : any matplotlib color
-        """
-        for ax1 in [self.RGB, self.R, self.G, self.B]:
-            ax1.axis[:].line.set_color(line_color)
-            ax1.axis[:].major_ticks.set_markeredgecolor(marker_edge_color)
-
-    def add_RGB_to_figure(self):
-        """Add the red, green and blue axes to the RGB composite's axes figure
-        """
-        self.RGB.get_figure().add_axes(self.R)
-        self.RGB.get_figure().add_axes(self.G)
-        self.RGB.get_figure().add_axes(self.B)
-
-    def imshow_rgb(self, r, g, b, **kwargs):
-        """Create the four images {rgb, r, g, b}
-
-        Parameters
-        ----------
-        r : array-like
-            The red array
-        g : array-like
-            The green array
-        b : array-like
-            The blue array
-        kwargs : imshow kwargs
-            kwargs get unpacked into the 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('Input shapes do not match.'
-                             '\nr.shape = {}'
-                             '\ng.shape = {}'
-                             '\nb.shape = {}'
-                             .format(r.shape, g.shape, b.shape))
-        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
-
-
-class RGBAxes(RGBAxesBase):
-    _defaultAxesClass = Axes