%matplotlib inline
dyn.vf.jacobian(adata_labeling, regulators=["SPI1", "GATA1"], effectors=["SPI1", "GATA1"])
dyn.pl.response(
adata_labeling,
np.array([["SPI1", "GATA1"], ["GATA1", "SPI1"], ["SPI1", "SPI1"], ["GATA1", "GATA1"]]),
ykey="jacobian",
log=False,
drop_zero_cells=True,
grid_num=25,
figsize=(5, 3),
save_show_or_return="show"
)
TypeError Traceback (most recent call last)
Input In [88], in <cell line: 4>()
1 get_ipython().run_line_magic('matplotlib', 'inline')
3 dyn.vf.jacobian(adata_labeling, regulators=["SPI1", "GATA1"], effectors=["SPI1", "GATA1"])
----> 4 dyn.pl.response(
5 adata_labeling,
6 np.array([["SPI1", "GATA1"], ["GATA1", "SPI1"], ["SPI1", "SPI1"], ["GATA1", "GATA1"]]),
7 ykey="jacobian",
8 log=False,
9 drop_zero_cells=True,
10 grid_num=25,
11 figsize=(5, 3),
12 save_show_or_return="show"
13 )
File ~\AppData\Roaming\Python\Python39\site-packages\dynamo\plot\heatmaps.py:420, in response(adata, pairs_mat, xkey, ykey, log, drop_zero_cells, delay, grid_num, n_row, n_col, cmap, show_ridge, show_rug, zero_indicator, zero_line_style, zero_line_width, mean_style, fit_curve, fit_mode, curve_style, curve_lw, no_degradation, show_extent, ext_format, stacked_fraction, figsize, save_show_or_return, save_kwargs, return_data)
417 axins = inset_axes(axes[i, j], bbox_transform=axes[i, j].transAxes, **inset_dict)
419 ext_lim = (min(x_val), max(x_val), min(y_val), max(y_val))
--> 420 im = axes[i, j].imshow(
421 values,
422 interpolation="mitchell",
423 origin="lower",
424 extent=ext_lim if show_extent else None,
425 cmap=cmap,
426 )
427 cb = fig.colorbar(im, cax=axins)
428 cb.set_alpha(1)
File ~\AppData\Roaming\Python\Python39\site-packages\matplotlib_init_.py:1361, in _preprocess_data..inner(ax, data, *args, **kwargs)
1358 @functools.wraps(func)
1359 def inner(ax, *args, data=None, **kwargs):
1360 if data is None:
-> 1361 return func(ax, *map(sanitize_sequence, args), **kwargs)
1363 bound = new_sig.bind(ax, *args, **kwargs)
1364 auto_label = (bound.arguments.get(label_namer)
1365 or bound.kwargs.get(label_namer))
File ~\AppData\Roaming\Python\Python39\site-packages\matplotlib\axes_axes.py:5609, in Axes.imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, **kwargs)
5604 self.set_aspect(aspect)
5605 im = mimage.AxesImage(self, cmap, norm, interpolation, origin, extent,
5606 filternorm=filternorm, filterrad=filterrad,
5607 resample=resample, **kwargs)
-> 5609 im.set_data(X)
5610 im.set_alpha(alpha)
5611 if im.get_clip_path() is None:
5612 # image does not already have clipping set, clip to axes patch
File ~\AppData\Roaming\Python\Python39\site-packages\matplotlib\image.py:700, in _ImageBase.set_data(self, A)
696 self._A = cbook.safe_masked_invalid(A, copy=True)
698 if (self._A.dtype != np.uint8 and
699 not np.can_cast(self._A.dtype, float, "same_kind")):
--> 700 raise TypeError("Image data of dtype {} cannot be converted to "
701 "float".format(self._A.dtype))
703 if self._A.ndim == 3 and self._A.shape[-1] == 1:
704 # If just one dimension assume scalar and apply colormap
705 self._A = self._A[:, :, 0]
TypeError: Image data of dtype object cannot be converted to float
如何将image data从object类型转为float类型?
一、检查你的文件路径，看是否是正确的，如正确，看二
二、检查图片格式是否是（jpg、png）的，也就是正确的格式，如正确，看三
三、看图片的大小是否差不多，如果相差过大建议调整一下大小。