About this question
I am trying to convert files stored in a CSV file dataset to grayscale. I run the code which worked on my previous dataset but I now get this error:
TypeError: Image data of object cannot be converted to float
The code I produced is below:
import pandas as pd
import numpy as np
from sklearn.datasets import load_digits
import matplotlib.pyplot as plt
data_path = "pe_section_headers.csv"
data1 = pd.read_csv(data_path);
data = data1
#data = data.drop("Malware", axis=1)
#data = data.drop("Name", axis=1)
data = data.values
data = data.reshape(data.shape[0], data.shape[1], 1)
data = np.tile(data, (1, data.shape[1]))
for i in range(data.shape[0]):
plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False)
plt.imshow(data[i], cmap="gray")
plt.savefig(f"output_image_{data1.iloc[i,0]}.png")
plt.close()
#print(data[0].shape)
And the error message I receive is:
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)in 21 for i in range(data.shape[0]):
22 plt.tick_params(left=False, bottom=False, labelleft=False, labelbottom=False)
---> 23 plt.imshow(data[i], cmap="gray")
24 plt.savefig(f"output_image_{data1.iloc[i,0]}.png")
25 plt.close()
~/opt/anaconda3/envs/jacksprojectnew/lib/python3.6/site-packages/matplotlib/pyplot.py in imshow(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, data, **kwargs)
2728 filternorm=filternorm, filterrad=filterrad, resample=resample,
2729 url=url, **({"data": data} if data is not None else {}),
-> 2730 **kwargs)
2731 sci(__ret)
2732 return __ret
~/opt/anaconda3/envs/jacksprojectnew/lib/python3.6/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
1445 def inner(ax, *args, data=None, **kwargs):
1446 if data is None:
-> 1447 return func(ax, *map(sanitize_sequence, args), **kwargs)
1448
1449 bound = new_sig.bind(ax, *args, **kwargs)
~/opt/anaconda3/envs/jacksprojectnew/lib/python3.6/site-packages/matplotlib/axes/_axes.py in imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, **kwargs)
5521 resample=resample, **kwargs)
5522
-> 5523 im.set_data(X)
5524 im.set_alpha(alpha)
5525 if im.get_clip_path() is None:
~/opt/anaconda3/envs/jacksprojectnew/lib/python3.6/site-packages/matplotlib/image.py in set_data(self, A)
701 not np.can_cast(self._A.dtype, float, "same_kind")):
702 raise TypeError("Image data of dtype {} cannot be converted to "
--> 703 "float".format(self._A.dtype))
704
705 if self._A.ndim == 3 and self._A.shape[-1] == 1:
TypeError: Image data of dtype object cannot be converted to float
Could you suggest what this means?
