ValueError: could not convert string to float: '8/3'

I am having the folllowing instruction x1,y1,x2,y2,x3,y3,xp,yp = map(float, input().split()) When I am trying to execute it for a fractional value, e.g. 8/3, I get an error message. x1,y1,x2,y2,x3,y3,xp,yp = map(float, input().split()) 0.1 0.2 -8 -16.67 0 0.1 8/3 1 # output Traceback (most recent call last): File "<pyshell#42>", line 1, in <module> x1,y1,x2,y2,x3,y3,xp,yp =… Read More ValueError: could not convert string to float: '8/3'

How to prevent "pandas.read_csv" convert index column to float with arg 'dtype=np.float32'?

I have a csv file to be read by pandas, and it has the form as following: name, quart2c, p_rat, other_col avg, 1, 2, 3 std, 1, 2, 3 I want to pandas.read_csv() guarantee that all cells have the type of float32, except the first column(‘name’) because that is the index column. Hence I pass… Read More How to prevent "pandas.read_csv" convert index column to float with arg 'dtype=np.float32'?

How can I parse random string to an object javascript

So I have a string below ‘user.name.firstName=Anatoliy&user.name.lastName=Klimov&user.vip=true’ I’ve to parse it to Object looks like { "user": { "name": { "firstname": "", "lastname": "" { "vip": true } } >Solution : Here’s an approach const data = ‘user.name.firstName=Anatoliy&user.name.lastName=Klimov&user.vip=true’; const constructObject = (str) => { const paths = str.split(‘&’); const result = {}; paths.forEach((path) => {… Read More How can I parse random string to an object javascript

How can I convert following string date-time into pandas datetime

How can I convert the following string format of datetime into datetime object to be used in pandas Dataframe? I tried many examples, but it seems my format is different from the standard Pandas datetime object. I know this could be a repetition, but I tried solutions on the Stackexchange, but they don’t work! >Solution… Read More How can I convert following string date-time into pandas datetime

Deleting characters in arrays while converting rows to integer in DataFrame

I have a dataframe like below Each row has a different length. I’m trying to run the code below for i in range(len(df)): df[‘ColumnA’][i] = df[‘ColumnA’][i].astype(int) I’m getting an error because some rows have like "64B", "64A" string values. For example, df[‘ColumnA’][37] Output: array([’34’, ’35’, ’36’, ’38’, ’39’, ’40’, ’41’, ’56’, ’58’, ’59’, ’60’, ’61’,… Read More Deleting characters in arrays while converting rows to integer in DataFrame

Converting a generic Iterator (e.g. SkipWhile) back to a specialised iterator (e.g. std::path::Components)

To avoid the XY problem, here’s what I originally want to do: I have a path: /foo/bar/bloo/baz/file.txt and would like the most efficient way to obtain bloo/baz/file.txt from that, essentially skipping all ancestors before a specific component (in this case "bloo"). The approach that seemed most sensible to me was to use the components function… Read More Converting a generic Iterator (e.g. SkipWhile) back to a specialised iterator (e.g. std::path::Components)