In your case this page has wrong utf-8 data which confuses BeautifulSoup and makes it think that your page uses windows-1252, you can do this trick: soup = BeautifulSoup.BeautifulSoup(content.decode(‘utf-8′,’ignore’)) by doing this you will discard any wrong symbols from the page source and BeautifulSoup will guess the encoding correctly. You can replace ‘ignore’ by ‘replace’ … Read more
I believe this is the intent of the until command. It’s like a next except that when a jump occurs to a previous line number for the loop, it will continue until exiting the loop. unt(il) Continue execution until the line with a number greater than the current one is reached or until the current … Read more
To generate one permutation use random.shuffle and store a copy of the result. Repeat this operation in a loop and each time check for duplicates (there probably won’t be any though). Once you have 5000 items in your result set, stop. To address the point in the comment, Python’s random module is based on the … Read more
Try this: import openpyxl wb = load_workbook(filename=”xxxx.xlsx”) ws = wb.worksheets[0] ws[‘A1’] = 1 ws.cell(row=2, column=2).value = 2 This will set Cells A1 and B2 to 1 and 2 respectively (two different ways of setting cell values in a worksheet). The second method (specifying row and column) is most useful for your situation: import openpyxl wb … Read more
The time complexity is O(N) on average, O(NM) worst case (N being the length of the longer string, M, the shorter string you search for). As of Python 3.10, heuristics are used to lower the worst-case scenario to O(N + M) by switching algorithms. The same algorithm is used for str.index(), str.find(), str.__contains__() (the in … Read more
First, flip the dictionary around into a reverse multidict, mapping each value to all of the keys it maps to. Like this: >>> some_dict = {“firstname”:”Albert”,”nickname”:”Albert”,”surname”:”Likins”,”username”:”Angel”} >>> rev_multidict = {} >>> for key, value in some_dict.items(): … rev_multidict.setdefault(value, set()).add(key) Now, you’re just looking for the keys in the multidict that have more than 1 value. … Read more
It has no special meaning in a list or dictionary, but can be useful when using source code change management tools, see below. Non-empty tuples are defined by using a comma between elements, the parentheses are optional and only required in contexts where the comma could have a different meaning. Because the comma defines the … Read more
I had the same problem and resolved it by importing it as from tensorflow.python.keras.layers import Dense
To do this you can feed the regplot() function the scatter_kws arg like so: import seaborn as sns tips = sns.load_dataset(‘tips’) sns.regplot(x=’total_bill’, y=’tip’, data=tips, marker=”o”, color=”red”, scatter_kws={‘s’:2}) sns.regplot(x=’total_bill’, y=’tip’, data=tips, marker=”o”, color=”red”, scatter_kws={‘s’:20})
Using pandas: import pandas as pd groups = [[23,135,3], [123,500,1]] group_labels = [‘views’, ‘orders’] # Convert data to pandas DataFrame. df = pd.DataFrame(groups, index=group_labels).T # Plot. pd.concat( [ df.mean().rename(‘average’), df.min().rename(‘min’), df.max().rename(‘max’) ], axis=1, ).plot.bar()