where(a < 5, a, 10*a) array([ 0, 1, 2, 3, 4, 50, 60, 70, 80, 90]) This can be used on multidimensional arrays too: >>> np.where([[True, False], [True, True]], ... [[1, 2], [3, 4]], ... [[9, 8], [7, 6]]) array([[1, 8], [3, 4]]) The ...
Since DataFrames are inherently multidimensional, we must invoke two methods of summation. For example, first we need to create a simple DataFrame with a few missing values:In [6]: df = pd.DataFrame(np.random.randn(5,5)) df[df > 0.9] = pd.np.nan...
This might look complicated at first glance but it is rather simple. In this case, we are using the function loc[a,b] in exactly the same manner in which we would normally slice a multidimensional Python array. For the a value, we are comparing the contents of the Name column of Report...
It is also possible to createmultidimensional listsby converting multiple columns of our initial DataFrame. This can be easily achieved byindexingin the correct way the subset of data we are interested in. Suppose now we are interested in converting into a list the data contained in the columns ...
The result of the evaluation of this expression is first passed to DataFrame.loc and if that fails because of a multidimensional key (e.g., a DataFrame) then the result will be passed to DataFrame.__getitem__().This method uses the top-level eval() function to evaluate the passed query...
In Pandas Panel are used to sort of data that is three dimensional. To create a Panel we use the Panel() function.
pandas.plotting.radviz(frame, class_column, ax=None, color=None, colormap=None, **kwds) Plot a multidimensional dataset in 2D. Each Series in the DataFrame is represented as a evenly distributed slice on a circle. Each data point is rendered in the circle according to the value on each ...
How to perform multidimensional scaling in Python? How to perform data binning in Python? How to create frequency tables in Python? How to create a contingency table in Python? How to calculate relative frequency in Python? How to perform bivariate analysis in Python?
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more - pandas/pandas/core/frame.py at e29444b54695e524ef77d3b51eb280ab9ee470db · pa
Help on ndarray object: class ndarray(builtins.object) | ndarray(shape, dtype=float, buffer=None, offset=0, | strides=None, order=None) | | An array object represents a multidimensional, homogeneous array | of fixed-size items. An associated data-type object describes the | format of each...