spyder | Official repository for Spyder - The Scientific Python
kandi X-RAY | spyder Summary
kandi X-RAY | spyder Summary
Spyder is a powerful scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package. Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, Spyder can also be used as a PyQt5 extension library, allowing you to build upon its functionality and embed its components, such as the interactive console, in your own software. For more general information about Spyder and to stay up to date on the latest Spyder news and information, please check out our new website.
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Top functions reviewed by kandi - BETA
- Creates an HTML page handler .
- Extracts the site - app bundle .
- Builds a project .
- Registers an editor stack .
- Format the main text .
- Load ipython configuration .
- Generate python configuration .
- Sets the layout of the dockable grid .
- Main entry point for the spyder .
- Creates a client for the specified connection .
spyder Key Features
spyder Examples and Code Snippets
Community Discussions
Trending Discussions on spyder
QUESTION
I have following pandas dataframe df
...ANSWER
Answered 2022-Mar-27 at 02:32Based on the comments, it appear that memo_func
is the main bottleneck. You can use Numba to speed up its execution. Numba compile the Python code to a native one thanks to a just-in-time (JIT) compiler. The JIT is able to perform tail-call optimizations and native function calls are significantly faster than the one of CPython. Here is an example:
QUESTION
I have the below issue and I feel I'm just a few steps away from solving it, but I'm not experienced enough just yet. I've used business-duration for this. I've looked through other similar answers to this and tried many methods, but this is the closest I have gotten (Using this answer). I'm using Anaconda and Spyder, which is the only method I have on my work laptop at the moment. I can't install some of the custom Business days functions into anaconda.
I have a large dataset (~200k rows) which I need to solve this for:
...ANSWER
Answered 2022-Mar-24 at 14:16Use:
QUESTION
I am developing a web application and trying to migrate from Spyder to VS Code. It was working with the default interpreter, so I created a new venv but when I start the server it does not work with the same code that was working without the venv. Error description:
...ANSWER
Answered 2022-Feb-11 at 10:10Welcome to StackOverflow!
The issue could be that your requirements.txt
file may specify what packages to install, but not their exact version, so could you please:
- paste the content of your requirements file?
- check the packages versions between your two virtual environments?
Some thoughts:
- requirements.txt file may constrain packages versions
- the way to exactly reproduce an environment would be to install from a
lock
file, see for instance this discussion onpip.lock
file)
Now, concerning your exact issue: ResultProxy
is not an object from flask
but from SQLAlchemy
, which SQLAchemy v1.4 replaced:
class sqlalchemy.engine.Result(cursor_metadata)
Represent a set of database results.
New in version 1.4: The Result object provides a completely updated usage model and calling facade for SQLAlchemy Core and SQLAlchemy ORM. In Core, it forms the basis of the CursorResult object which replaces the previous ResultProxy interface. When using the ORM, a higher level object called ChunkedIteratorResult is normally used.
(emphasis mine)
Which means you can:
- either fix
SQLAlchemy
version in yourrequirements.txt
file, - or update your code to cope with current
SQLAlchemy
syntax.
QUESTION
I ran the following code in RStudio:
...ANSWER
Answered 2022-Feb-04 at 14:54It depends on what you want to test (i.e. if you want to test looping or just want the result fast). I assume you want the result fast and in a clean code, in which case I would write this operation in the following way in Julia:
QUESTION
I am starting to use spyder, and I am having an issue in importing the data.
Yesterday, I saved all variables using 'save data' in variable explorer, generating a file called data.spydata
. I opened a new project just to test if it was OK, and I was able to open it.
Today, I am attempting to importing all data from that data.spydata
. Initially it complained about no pandas, and I have installed it using pip install pandas
, and stopped complaining about. Now, the message is
Unable to load '//data.spydata' The error message was: Can't get attribute '_unpickle_block' on
The sentence appears to end without a complement, and I have no idea what it means... the variables were diverse, but mainly panda's data frame, lists and dictionaries... a request response, and json from this response...
The spyder is running in a conda environment. After the first message, I verified all packages used in the original code (pandas, request) are installed in that environment...
I appreciate any help.
...ANSWER
Answered 2022-Feb-03 at 15:49I recently encountered the same problem! Then I realized that the pandas that I generated the pkl has version 1.4.0; while the pandas that I used to extract pkl has version 1.3.0.
So what I do is to downgrade/upgrade pandas. This is a similar problem
QUESTION
Others have asked about this, but my situation seems slightly different, and none of the suggestions they received worked for me (e.g. here, here, here).
I'm using Anaconda Navigator on Windows, and trying to use the "nco" package. I installed it via the Anaconda Navigator, and when (in Spyder) I type conda list nco
it gives me:
ANSWER
Answered 2022-Feb-03 at 09:18The Conda package nco
refers to the commandline tool. The Python bindings to nco
are provided by the Conda package pynco
. So, you want
QUESTION
I'm using Pandas 1.3.2 in a Conda environment.
When importing pandas on a Jupyter Notebook:
...ANSWER
Answered 2021-Aug-25 at 16:53According to the answer provided in this post it is a bug in pandas==1.3.1
.
A possible solution is to downgrade it to some earlier version, e.g pip install pandas==1.3.0
QUESTION
I'm using Jupyter Notebook
to do graph analysis. I need to use Networkx
to generate MultiDiGraph, I need to plot it as a tree, but there is an error occurring :
ANSWER
Answered 2022-Jan-18 at 12:19You have installed the wrong graphviz
wrapper, i.e. python-graphviz, but you need pyGraphviz:
QUESTION
Good morning. I need to install the Shapely package for using Python for GIS analysis. I searched online and I found that it should be enough to write this line:
conda install -c conda-forge shapely
I'm a total beginner and it is not clear to me if I need to put this line in Python's IDLE or if it is enough to write it in Spyder (which I'm learning to use). I tried both options and the result is always the same:
...ANSWER
Answered 2021-Dec-24 at 10:48This is something you write in your command prompt on Windows. This assumes that you have conda installed. You may have better luck using pip
, which is bundled with Python by default. The command you type in the command prompt is pip install shapely
. Hope it works for you, good luck!
QUESTION
ANSWER
Answered 2021-Nov-22 at 21:58On Spyder 5.0.0,
You can change the line limit and remove the vertical bar by going to
Settings
-> Completion and linting
-> Code style and formatting
-> Line length
-> Show vertical line at that length
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install spyder
The WinPython distribution for Windows
The MacPorts project for macOS
Your distribution's package manager (i.e. apt-get, yum, etc) on Linux
The pip package manager, included with most Python installations
When installing Spyder from its source package, the only requirement is to have a Python version equal or greater than 3.6.
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