The error is due to matplotlib’s inability to find the location of x-axis value along the x-axis. The plot from the first two lines has numeric values for x-axis, whereas the third line is trying to plot a datetime on the same axis. While plotting the third line plt.plot(Dates, Highs), matplotlib tries to find the x-axis location for … Read more
As @thijs van den bergh points you to, Is one way to do this. Your error comes from trying to make a data.fr
You could use np.where. If cond is a boolean array, and A and B are arrays, then defines C to be equal to A where cond is True, and B where cond is False. yields If you have more than one condition, then you could use np.select instead. For example, if you wish df[‘que’] to … Read more
Supposing d is your list of dicts, simply: Note: this does not work with nested data.
I’m going to attempt to explain this without making any mistakes, but I’m betting this will attract a clarification or two in the comments. A data frame is a list. When you subset a data frame using the name of a column and [, what you’re getting is a sublist (or a sub data frame). If you want … Read more
One simple method would be to assign the default value first and then perform 2 loc calls: If you wanted to use np.where then you could do it with a nested np.where: So here we define the first condition as where x is less than -2, return 1, then we have another np.where which tests the other condition where x is greater … Read more
The truth is that objects in R don’t have names per-se. There exists different kinds of environments, including a global one for every process. These environments have lists of names, that point to various objects. Two different names can point to the same object. This is best explained to my knowledge in the environments chapter … Read more
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
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.
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: