ccplot | line application for visualizing data

by peterkuma Python Version: v2.1.1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ccplot Summary

ccplot is a Python library. ccplot has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ccplot has a Non-SPDX License. You can download it from GitHub.

Command-line application for visualizing data from CloudSat and CALIPSO satellites

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Support

ccplot has a low active ecosystem.

It has 27 star(s) with 7 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 11 have been closed. On average issues are closed in 355 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ccplot is v2.1.1

Quality

ccplot has 0 bugs and 0 code smells.

Security

ccplot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

ccplot code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ccplot has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ccplot releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed ccplot and discovered the below as its top functions. This is intended to give you an instant insight into ccplot implemented functionality, and help decide if they suit your requirements.

Parse a cmap file .
Generate dimmap .
Convert arguments to str .
Auto - encode string .
Convert a calipso timestamp to a datetime object .
converts a time to a datetime

Get all kandi verified functions for this library.

ccplot Key Features

No Key Features are available at this moment for ccplot.

ccplot Examples and Code Snippets

No Code Snippets are available at this moment for ccplot.

Community Discussions

Trending Discussions on ccplot

How can I solve my dimension issue with Python pcolor?

QUESTION

How can I solve my dimension issue with Python pcolor?

Asked 2018-Dec-17 at 14:04

I have a 3 lists and I would like to make a pcolor plot.

ccplot = plt.pcolor(a,b, c, vmin=np.min(c), vmax=np.max(c))

the shape of a and b are: (108,)

The problem is:

when the shape of c is (216,) I get the error:

" ValueError: not enough values to unpack (expected 2, got 1) "

and when I reshape the c to be a 2d array of the shape (10800, 2), I get the error:

" TypeError: Dimensions of C (108, 2) are incompatible with X (108) and/or Y (108); see help(pcolor) "

Please help me handle this pcolor plot. I appreciate in advance.

regards Travis h

...

ANSWER

Answered 2018-Dec-11 at 14:15

I believe you are looking at the pcolor implementation in the wrong way. If you have c as an array of (216,) it doesn't make sense as it needs both an i, and j value to unpack to find its location in a 2D grid. pcolor needs to be able to access c[ i , j ] and for a 1D array like (216,) this is not possible.

Also when you have C (108,2) your other arrays should look like X (109,) Y(3,). Try the following example:

Source https://stackoverflow.com/questions/53725430

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ccplot

The installation instructions below are general instructions for Linux distributions. For more detailed instructions and other operating systems please see [ccplot.org/download](https://ccplot.org/download). Install the above from a Linux distribution package repositories. Python 3 and Cython are also included with [Anaconda](https://anaconda.org).
Python 3
Cython
HDF4
HDF-EOS2
numpy
matplotlib
cartopy
packaging
pytz

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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