You can use apply to index into leader and exchange values with DatasetLabel, although it’s not very pretty. One issue is that Pandas won’t let us index with NaN. Converting to str provides a workaround. But that creates a second issue, namely, column 9 is of type float (because NaN is float), so 5 becomes … Read more
I would rather prefer to use it this way. You need to remove hue as I assume it has a different purpose which doesn’t apply in your current DataFrame because you have a single line. Visit the official docs here for more info. df=pd.DataFrame({‘test’:range(9),’test2′:range(9)}) sns.lineplot(x=df.index, y=’test’, data=df) Output
Setting timesteps = 1 (since, I want one timestep for each instance) and reshaping the X_train and X_test as: import numpy as np X_train = np.reshape(X_train, (X_train.shape[0], 1, X_train.shape[1])) X_test = np.reshape(X_test, (X_test.shape[0], 1, X_test.shape[1])) This worked!
The Y array in your screenshot is not a 1D array, it’s a 2D array with 300 rows and 1 column, as indicated by its shape being (300, 1). To remove the extra dimension, you can slice the array as Y[:, 0]. To generally convert an n-dimensional array to 1D, you can use np.reshape(a, a.size). … Read more
This particular error implies that one of the variables being used in the arithmetic on the line has a shape incompatible with another on the same line (i.e., both different and non-scalar). Since n and the output of np.add.reduce() are both scalars, this implies that the problem lies with xm and ym, the two of … Read more
Simply change col = pd.DataFrame(data, columns=[‘runs’,’balls’, ‘wickets’, ‘ground_average’, ‘pp_balls_left’, ‘total_overs’]) for col = pd.DataFrame([data], columns=[‘runs’,’balls’, ‘wickets’, ‘ground_average’, ‘pp_balls_left’, ‘total_overs’]) You want [data] for pandas to understand they’re rows. Simple illustration: a = [1, 2, 3] >>> pd.DataFrame(a) 0 0 1 1 2 2 3 >>> pd.DataFrame([a]) 0 1 2 0 1 2 3
You should write the pickled data with a lower protocol number in Python 3. Python 3 introduced a new protocol with the number 3 (and uses it as default), so switch back to a value of 2 which can be read by Python 2. Check the protocolparameter in pickle.dump. Your resulting code will look like … Read more
This might happen inside scikit, and it depends on what you’re doing. I recommend reading the documentation for the functions you’re using. You might be using one which depends e.g. on your matrix being positive definite and not fulfilling that criteria. EDIT: How could I miss that: np.isnan(mat.any()) #and gets False np.isfinite(mat.all()) #and gets True … Read more
The end of the error shows the value that was tried to be parsed. As a more clear example. >>> int(‘55063.000000’) Traceback (most recent call last): File “<stdin>”, line 1, in <module> ValueError: invalid literal for int() with base 10: ‘55063.000000’ In your case, you tried to parse an empty string as an integer. For … Read more