How to convert .sav file into csv file
You are probably looking for the pyreadstat module, you can find some code snippet to start on the github page.
pandas
ValueError: multiclass format is not supported
It seems the task you are trying to solve is regression: predicting the price. However, you are training a classification model, that assigns a class to every input. ROC-AUC score is meant for classification problems where the output is the probability of the input belonging to a class. If you do a multi-class classification, then … Read more
Logical operators for Boolean indexing in Pandas
When you say You are implicitly asking Python to convert (a[‘x’]==1) and (a[‘y’]==10) to Boolean values. NumPy arrays (of length greater than 1) and Pandas objects such as Series do not have a Boolean value — in other words, they raise ValueError: The truth value of an array is ambiguous. Use a.empty, a.any() or a.all(). when used as a … Read more
How to print a specific row of a pandas DataFrame?
When you call loc with a scalar value, you get a pd.Series. That series will then have one dtype. If you want to see the row as it is in the dataframe, you’ll want to pass an array like indexer to loc. Wrap your index value with an additional pair of square brackets
TypeError: fit() missing 1 required positional argument: ‘y’
I am trying to predict economic cycles using Gaussian Naive Bayes “Classifier”. data (input X) : target (output Y) : Below is my code: Below is Error: What am I doing wrong? How can I resolve this issue /error ?
Extract first and last row of a dataframe in pandas
I think the most simple way is .iloc[[0, -1]].
Got continuous is not supported error in RandomForestRegressor
It’s because accuracy_score is for classification tasks only. For regression you should use something different, for example: Where X_test is samples, y_test is corresponding ground truth values. It will compute predictions inside.
Calculate weighted average using a pandas/dataframe
I think I would do this with two groupbys. First to calculate the “weighted average”: If you set this as a column, you can groupby over it: Now the sum of this column is the desired: or potentially:
pandas: multiple conditions while indexing data frame – unexpected behavior
As you can see, the AND operator drops every row in which at least one value equals -1. On the other hand, the OR operator requires both values to be equal to -1 to drop them. That’s right. Remember that you’re writing the condition in terms of what you want to keep, not in terms of … Read more
Pandas dataframe groupby plot
Simple plot, you can use: Or you can set the index to be Date beforehand, then it’s easy to plot the column you want: If you want a chart with one series by ticker on it You need to groupby before: If you want a chart with individual subplots: