alexlib

Packing Conda Environments

You must be using conda for this approach. You will need conda installed on the Source machine and the Target machine. The Source machine must have an internet connection, the Target does not. The OS in both environments must match; no going from macOS to Win10 for example.

1. (Source) Install conda-pack in your base python environment.

conda install -c conda-forge conda-pack

alexlib

import numpy as np
import pandas as pd


# dropping tennis ball
def problem1():

    dt = 1

    F = np.matrix([[1, dt, dt**2/2],

alexlib

"""
Different functions to get pairwise distance in cubic box with PBC

Args:
    positions: the positions of particles, shape (N, dim)
    box (int or float): the size of the box

Return:
    np.ndarray: the pair-wise distances, shape (N, N)
"""

alexlib

import napari
import numpy as np


def _circle(r, theta):
    x = r*np.cos(theta)
    y = r*np.sin(theta)
    return x, y

def _sphere(r, theta, psi):

alexlib

import numpy as np
import numba
import xarray as xr

@numba.jit(nopython=True)
def lowess_1d(y, x, alpha=2. / 3., it=10):
    """lowess(x, y, f=2./3., iter=3) -> yest
    Lowess smoother: Robust locally weighted regression.
    The lowess function fits a nonparametric regression curve to a scatterplot.
    The arrays x and y contain an equal number of elements; each pair

alexlib

alexlib

# Example animations using matplotlib's FuncAnimation
# Ken Hughes. August 2019

# For more detail, see
#https://brushingupscience.com/2019/08/01/elaborate-matplotlib-animations/

# Examples include
#   - quiver plot with variable positions and directions
#   - 3D contour plot
#   - line plot on a polar projection

alexlib

# Example animations using matplotlib's FuncAnimation
# Ken Hughes. 18 June 2016.

# For more detail, see
# https://brushingupscience.wordpress.com/2016/06/21/matplotlib-animations-the-easy-way/

# Examples include
#    - line plot
#    - pcolor plot
#    - scatter plot

alexlib

import gcsfs
import pyarrow

def read_parquet(gs_directory_path, to_pandas=True):
    """
    Reads multiple (partitioned) parquet files from a GS directory
    e.g. 'gs://<bucket>/<directory>' (without ending /)
    """
    gs = gcsfs.GCSFileSystem()
    arrow_df = pyarrow.parquet.ParquetDataset(gs_directory_path, filesystem=gs)

alexlib