338rajesh/npi

Numpy Inspector, a command line tool, developed for working with *.npy and *.npz files containing numpy arrays. It can be used to visualise data, modify and many other NumPy operations without writing explicit code for routine tasks.

Python

NPY viewer

Reference

General

--key: list the keys in the npz file
--tag: list the tag in the npz file
--verbose: verbose level

Manipulations

--cat: Concatenating arrays
--stack: Stacking arrays

View

--summary: summarize the data
--sig_dig: number of significant digits
--print: print the data
--p_bar: show a progress bar
--table_fmt: Table format, as in tabulate python module

Plotting

--plot: plot the data
--line_plot: plot the data as a line plot
--line_plot_opt: Line plot options
--hist1D: plot the data as a histogram
--hist1D_opt: Histogram plot options
--get_frequency: get the frequency of the data
--scatter: plot the data as a scatter plot
--scatter3D: plot the data as a 3D scatter plot
--image_plot: view the data as images
--no_pool: pool the plots on a single figure
--fig_size: figure size
--add_grid: add a grid
--x_label: x label
--y_label: y label
--x_lim: x limit
--y_lim: y limit
--y_log: y axis in log scale
--eq_axs: equalize the axes
--title: title
--no_axs: no axes
--tight_layout: tight layout

Transformations

--scale: scale the data
--shift: shift the data

File Operations

--files: list the files in the directory
--merge: merge the files
--append:
--remove: a list of keys to be removed from the *.npz file
--rename: a pair of keys to be renamed, in the order of source and target

Save

--saveas: save the data as a file
--saveas_json: save the data as a json file
--saveas_dat: save the data as a text file
--log_dir: log directory

Evaluations

--r2_score: R^2 score of two arrays