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
Let’s try str.split and str.join: Output:
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
Do you mean something like this? Note that using len assumes you don’t have NAs in your DataFrame. You can do x.value_counts().count() or len(x.dropna().unique()) otherwise.
There is a way of doing this and it actually looks similar to R Here you are just selecting the columns you want from the original data frame and creating a variable for those. If you want to modify the new dataframe at all you’ll probably want to use .copy() to avoid a SettingWithCopyWarning. An … Read more
Supposing d is your list of dicts, simply: Note: this does not work with nested data.
I found this error, the cause was that there were some carriage returns “\r” in the data that pandas was using as a line terminator as if it was “\n”. I thought I’d post here as that might be a common reason this error might come up. The solution I found was to add lineterminator=’\n’ … 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
You’re trying to use a different shaped df to mask your df, this is wrong, additionally the way you’re passing the conditions is being used incorrectly. When you compare a column or series in a df with a scalar to produce a boolean mask you should pass just the condition, not use this successively. you … Read more
Simply type conda update pandas in your preferred shell (on Windows, use cmd; if Anaconda is not added to your PATH use the Anaconda prompt). You can of course use Eclipse together with Anaconda, but you need to specify the Python-Path (the one in the Anaconda-Directory). See this document for a detailed instruction.