importpandasaspdidx=pd.MultiIndex.from_arrays( [["a","a","a","b","b","b"], [1,2,3,1,2,3],],names=["foo","bar"] )s=pd.Series(index=idx,data=range(6),name="otto")# this has int64 dtype which is what i wantnew_s=pd.Series(index=pd.Index(["a","b"],name="foo...
File "/tmp/tmpeo8sv853/doc/source/reference/arrays.datetime.rst", line 93, in doc/source/reference/arrays.datetime.rst Failed example: np.datetime64('now', 'ms') Expected: numpy.datetime64('2024-05-18T18:02:42.000') Got: np.datetime64('2024-05-18T18:58:30.000') ...
y = numpy.power(x, 2) fig = plt.figure() ax = fig.gca() ax.set_xticks(numpy.arange(0, 1, 0.1)) ax.set_yticks(numpy.arange(0, 1., 0.1)) plt.scatter(x, y) plt.grid() plt.show() The properties of grid lines can be managed by bothax.xaxis.gridandax.yaxis.grid. Soluti...
datetime.datetime.timestamp(datetime.timedelta(hours=1, days=2, seconds=1000)).total_seconds() Convert datetime timedelta to seconds Code Example, a_timedelta = datetime.timedelta(seconds=24*60*60) timedelta_seconds = a_timedelta.total_seconds() print(timedelta_seconds) OUTPUT 86400.0...
Let’s look at some of the methods you can use to fill this declared array. C# Add Values to Array UsingforLoop Each element has a unique index when it comes to arrays in general. So it’s easy to add values using a simple loop and incremental indexing. ...
Learning blocks operate on data that has already been processed by aninput blockand aprocessing block. This processed data is available to your learning block in a single directory, in the NumPy format, and already split into training (train) and validation (test) datasets. By default the trai...
Describe the enhancement requested Requests for the python implementation of the t-digest algorithm: Currently it is only possible to compute one t-digest from a data array and return a given percentile. There doesn't seem to be an optio...
# by assigning to a tuple, the single numpy array returned by # `jax.random.split` actually gets split into two arrays, so when calling # the function with pmap the output is Tuple[Array, Array], where the # leading axis of each array is `num devices`. rng1, rng2 = jax.random....
# Ensure that vectors are populated and are NumPy arrays assert len(cluster_manager.vectors) == 3, "There should be 3 embedded vectors" assert all(isinstance(vec, list) for vec in cluster_manager.vectors), "Each vector should be a list" def test_cluster_document(cluster_manager): # Embed...
numpy : 1.19.0 pytz : 2020.1 dateutil : 2.8.1 pip : 18.1 setuptools : 47.3.1 Cython : None pytest : 5.4.3 hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : None html5lib : None