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Idreamofjeanniedownloadinhinditorrent Extra Quality
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A:
Your problem is that your file contains 0x0A character.
you can use this:
Regex regex = new Regex(@”\x0A\x0D[^\x0A\x0D]+”);
string s = regex.Replace(m[0].ToString());
Q:
Categorizing df
How to categorize each of the df into a category of Datetime index and then plot them into the graph by hd a column in dataframe?
Here is my code:
#Code
df = pd.read_excel(os.path.join(path, ‘imageID.xlsx’), usecols = [7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99])
df.shape
df[‘datetime’] = pd.to_datetime(df[‘datetime’])
df.dtypes
category = np.unique(df[‘datetime’])
plt.plot(category)
plt.show()
It gives me the error message:
ValueError: Invalid datetime value
Even if I do the code like this:
#Code
df = pd.read_excel(os.path.join(path, ‘imageID.xlsx’), usecols = [7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,
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