lib-python | Blynk IoT library for Python and Micropython

by blynkkk Python Version: 0.2.6 License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | lib-python Summary

lib-python is a Python library typically used in Internet of Things (IoT), Raspberry Pi, Arduino applications. lib-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install lib-python' or download it from GitHub, PyPI.

Blynk IoT library for Python and Micropython

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lib-python has a low active ecosystem.

It has 147 star(s) with 63 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 29 have been closed. On average issues are closed in 21 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of lib-python is 0.2.6

lib-python Support

Best in #Python

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lib-python Support

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Average in #Python

Quality

lib-python has 0 bugs and 15 code smells.

lib-python Quality

Best in #Python

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lib-python Quality

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Average in #Python

Security

lib-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

lib-python code analysis shows 0 unresolved vulnerabilities.

There are 3 security hotspots that need review.

lib-python Security

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lib-python Security

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Average in #Python

License

lib-python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

lib-python License

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lib-python License

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lib-python releases are available to install and integrate.

Deployable package is available in PyPI.

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

Installation instructions, examples and code snippets are available.

lib-python saves you 674 person hours of effort in developing the same functionality from scratch.

It has 1561 lines of code, 205 functions and 24 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

lib-python Reuse

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lib-python Reuse

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Top functions reviewed by kandi - BETA

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

Start the server

Connect to Blynk
Disconnect from the server
Call handler

Set the value of the specified property

Send a notification

Send email

Send an internal message

Send a tweet

Sends a virtual sync command

Create a response message

Create a virtual write message

Create a virtual sync sync message

Send an email message

Pack a message into a Tweet

Create a set property message

Create an internal message

Send a virtual write command

Get all kandi verified functions for this library.

lib-python Key Features

Communication with public or local Blynk Server.

Exchange any data between your hardware and app

Tested to work with: Raspberry Pi (any), ESP32, ESP8266

Subscribe to connect/disconnect events (ssl connection supported only by cPython lib)

Subscribe to read/write events of virtual pins

Virtual Pin write

Virtual Pin sync

Send mobile app push notifications

Send email notifications

Send twitter notifications

Change widget GUI parameters in Blynk app based on hardware input

lib-python Examples and Code Snippets

No Code Snippets are available at this moment for lib-python.

Community Discussions

Trending Discussions on lib-python

pandas bar plot not taking list of colours

Jython - Do these two boolean statements do the same thing?

How to get rid of the error `package has no attribute '_w_long'`?

Python - connect two sets of dots in order

Snapcraft python script with module, staging issues

Use different bar color in seaborn barplot

Clicking `seaborn` heatmap to print metadata from that cell

PVlib install as an editable library to be used in PyCharm

How to generate a PVLIB fit_desoto module with only cells_in_series as an input parameter, but which may have 2 in parallel as well?

502 Error Bad Gateway on EC2 instance (Nginx)

Trending Discussions on lib-python

pandas bar plot not taking list of colours

Jython - Do these two boolean statements do the same thing?

How to get rid of the error `package has no attribute '_w_long'`?

Python - connect two sets of dots in order

Snapcraft python script with module, staging issues

Use different bar color in seaborn barplot

Clicking `seaborn` heatmap to print metadata from that cell

PVlib install as an editable library to be used in PyCharm

How to generate a PVLIB fit_desoto module with only cells_in_series as an input parameter, but which may have 2 in parallel as well?

502 Error Bad Gateway on EC2 instance (Nginx)

QUESTION

pandas bar plot not taking list of colours

Asked 2022-Mar-29 at 19:18

I'm trying to colour a bar chart with different colours, but when I pass a list of colours to the color argument, it still colors all bars the same.

combi_df = pd.DataFrame(columns=['Labels', 'Number'])

label_list = ['one','two','three','four','five','six','seven','eight']
              

 
int_list = [302,11,73,10,68,36,42,30]
combi_df['Labels'] = label_list
combi_df['Number'] = int_list



fig = plt.figure()
ax = plt.subplot(111)


box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.8, box.height])

c = ['#1b9e77', '#a9f971', '#fdaa48','#6890F0','#A890F0','#fdaa48','#6890F0','#A890F0']


combi_df[['Number']].plot(kind='bar',color=c ,legend=True, fontsize=10,ax=ax)
ax.legend(ax.patches, combi_df['Labels'], loc='upper center',bbox_to_anchor=(0.75, 1))
ax.set_xlabel("Labels", fontsize=12)
ax.set_ylabel("Number of occurences", fontsize=12)

plt.show()

I have tried a number of things to make it work, including How to put colors in a matplotlib bar chart?, Setting Different Bar color in matplotlib Python [duplicate] and How to set Different Color(s) for Bars of Bar Plot in Matplotlib?

ANSWER

Answered 2022-Mar-29 at 19:17

As commented, DataFrame.plot.bar sets colors by column and you only have one column, so one possibility is to switch back to the vanilla pyplot.bar.

If you still want to use a pandas plot, pivot your Labels into columns:

combi_df.pivot(columns='Labels', values='Number').plot.bar(color=c, stacked=True, ax=ax)

Or make it horizontal and replace the legend with yticklabels:

combi_df.pivot(columns='Labels', values='Number').plot.barh(color=c, stacked=True, legend=False, ax=ax)
ax.set_yticklabels(combi_df['Labels'])

Source https://stackoverflow.com/questions/71666155

QUESTION

Jython - Do these two boolean statements do the same thing?

Asked 2022-Mar-05 at 17:37

I'm reasonably new to Python but I thought I understood how the flow control worked.

I'm pasting this from the Jython github at line 418

418: pkgname = globals.get('__package__')
419: if pkgname is not None:
420:     if not pkgname and level > 0:
421:         raise ValueError, 'Attempted relative import in non-package'

Does pkgname is not None on line 419 do the same thing as not pkgname on line 420? If it does, why would that check be there?

I'm reading the import source code so I can understand the system better and, though minor, this struck me as odd. As I'm still learning Python, I don't want to take anything for granted.

Thank you!

ANSWER

Answered 2022-Mar-05 at 17:32

You are correct the second check for if not pkgname is not needed so the code can just be

418: pkgname = globals.get('__package__')
419: if pkgname is not None:
420:     if level > 0:
421:         raise ValueError, 'Attempted relative import in non-package'

Source https://stackoverflow.com/questions/71364362

QUESTION

How to get rid of the error `package has no attribute '_w_long'`?

Asked 2022-Feb-06 at 12:39

Suddenly, I don't know why occurs the error for every python file in this project, let's take for example and use matplotlib.

I tried this:

import matplotlib.pyplot as plt

plt.plot([1,2,3],[1,2,3])
plt.show()

And the error is:

Remainder of file ignored
Traceback (most recent call last):
  File "C:\Users\Idensas\PycharmProjects\protest\try.py", line 1, in 
    import matplotlib.pyplot as plt
  File "C:\Users\Idensas\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\__init__.py", line 89, in 
    import importlib
  File "C:\Users\Idensas\PycharmProjects\OneMoreTime\pypy\lib-python\3\importlib\__init__.py", line 51, in 
    _w_long = _bootstrap_external._w_long
AttributeError: module 'importlib._bootstrap_external' has no attribute '_w_long'

There are more errors but I omit that, because they all same like this above, errors with:

protobuf-3.18.0-py3.9-nspkg.pth
matplotlib-3.5.1-py3.9-nspkg.pth
googleapis_common_protos-1.53.0-py3.9-nspkg.pth
distutils-precedence.pth

I took a look at some same questions like mine, but nothing helped me. I have installed only one version of python, this was years ago. I just turn on my PC, go to PyCharm and an error today is occurs. Uhh...

ANSWER

Answered 2022-Feb-06 at 12:39

Finally! I just go to Project Dependencies and unchecked, so my project "protest" with python doesn't depend on project "OneMoreTime" with pypy.

Source https://stackoverflow.com/questions/71001495

QUESTION

Python - connect two sets of dots in order

Asked 2022-Feb-04 at 00:24

I created two scatterplots and put them on the same graph. I also want to match the points of the two scatterplots (note that the two scatterplots have the same number of points).

My current code is provided below, and the plot I want to get is sketched at the bottom of this post.

plt.scatter(tmp_df['right_eye_x'], tmp_df['right_eye_y'],
            color='green', label='right eye')
plt.scatter(tmp_df['left_eye_x'], tmp_df['left_eye_y'],
            color='cyan', label='left eye')
plt.legend()

Here is a fake dataframe you may use, in case you need to do some testing. (My data is of the following format; you may use the last two lines in the code chunk to create the dataframe)

timestamp right_eye_x  right_eye_y left_eye_x  left_eye_y
    15        54           22          28          19
    20        56           21          29          21
    25        59           16          28          16   
    30        58           18          31          18   
    35        62           15          33          14


data = {'timestamp':[15,20,25,30,35],
'right_eye_x':[54, 56, 59, 58, 62],
'right_eye_y':[22, 21, 16, 18, 15],
'left_eye_x':[28, 29, 22, 31, 33],
'left_eye_y':[19, 21, 16, 18, 14]}
tmp_df = pd.DataFrame(data)

I saw this post: Matplotlib python connect two scatter plots with lines for each pair of (x,y) values? while I am still very confused.

I would appreciate any insights! Thank you! (If you find any part confusing, please let me know!)

ANSWER

Answered 2022-Feb-04 at 00:24

Use the solution from the comments that is shown in the post you cite.

import matplotlib.pyplot as plt
import numpy as np
x1 = [0.19, 0.15, 0.13, 0.25]
x2 = [0.18, 0.5, 0.13, 0.25]
y1 = [0.1, 0.15, 0.3, 0.2]
y2 = [0.85, 0.76, 0.8, 0.9]

for i in range(len(x1)):     
  plt.plot([x1[i],x2[i]], [y1[i],y2[i]])

You can put labels, colors and stuff looking at https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html

Source https://stackoverflow.com/questions/70979777

QUESTION

Snapcraft python script with module, staging issues

Asked 2022-Feb-01 at 17:55

I am building a snap to test integration of a python script and a python SDK with snapcraft and there appears to be a conflict when two python 'parts' are built in the same snap.

What is the best way to build a snap with multiple python modules?

I have a simple script which imports the SDK and then prints some information. I also have the python SDK library (https://help.iotconnect.io/documentation/sdk-reference/device-sdks-flavors/download-python-sdk/) in a different folder.

I have defined the two parts, and each one can be built stand alone (snapcraft build PARTNAME), however it seems the python internals are conflicting at the next step of 'staging' them together.

tree output of structure

tree
.
├── basictest
│   ├── basictest.py
│   ├── __init__.py
│   └── setup.py
├── iotconnect-sdk-3.0.1
│   ├── iotconnect
│   │   ├── assets
│   │   │   ├── config.json
│   │   │   └── crt.txt
│   │   ├── client
│   │   │   ├── httpclient.py
│   │   │   ├── __init__.py
│   │   │   ├── mqttclient.py
│   │   │   └── offlineclient.py
│   │   ├── common
│   │   │   ├── data_evaluation.py
│   │   │   ├── infinite_timer.py
│   │   │   ├── __init__.py
│   │   │   └── rule_evaluation.py
│   │   ├── __init__.py
│   │   ├── IoTConnectSDKException.py
│   │   ├── IoTConnectSDK.py
│   │   └── __pycache__
│   │       ├── __init__.cpython-38.pyc
│   │       └── IoTConnectSDK.cpython-38.pyc
│   ├── iotconnect_sdk.egg-info
│   │   ├── dependency_links.txt
│   │   ├── not-zip-safe
│   │   ├── PKG-INFO
│   │   ├── requires.txt
│   │   ├── SOURCES.txt
│   │   └── top_level.txt
│   ├── PKG-INFO
│   ├── README.md
│   ├── setup.cfg
│   └── setup.py
└── snap
    └── snapcraft.yaml

9 directories, 30 files

snapcraft.yaml

name: basictest
base: core20
version: '0.1'
summary: Test snap to verifiy integration with python SDK
description: |
  Test snap to verifiy integration with python SDK

grade: devel
confinement: devmode

apps: 
  basictest:
    command: bin/basictest

parts:
  lib-basictest:
    plugin: python
    source: ./basictest/
    after: [lib-pythonsdk]
    disable-parallel: true
    
  lib-pythonsdk:
    plugin: python
    source: ./iotconnect-sdk-3.0.1/

Running 'snapcraft' shows tons of errors which look like conflicts between the two 'parts' related to the internals of python.

snapcraft output

snapcraft
Launching a VM.
Skipping pull lib-pythonsdk (already ran)
Skipping pull lib-basictest (already ran)
Skipping build lib-pythonsdk (already ran)
Skipping build lib-basictest (already ran)
Failed to stage: Parts 'lib-pythonsdk' and 'lib-basictest' have the following files, but with different contents:
    bin/activate
    bin/activate.csh
    bin/activate.fish
    lib/python3.8/site-packages/_distutils_hack/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/_distutils_hack/__pycache__/override.cpython-38.pyc
    lib/python3.8/site-packages/pip-21.3.1.dist-info/RECORD
    lib/python3.8/site-packages/pip/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/__pycache__/__main__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/build_env.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/cache.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/configuration.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/exceptions.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/main.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/pyproject.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/self_outdated_check.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/__pycache__/wheel_builder.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/autocompletion.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/base_command.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/cmdoptions.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/command_context.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/main.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/main_parser.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/parser.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/progress_bars.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/req_command.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/spinners.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/cli/__pycache__/status_codes.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/cache.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/check.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/completion.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/configuration.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/debug.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/download.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/freeze.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/hash.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/help.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/index.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/install.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/list.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/search.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/show.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/uninstall.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/commands/__pycache__/wheel.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/distributions/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/distributions/__pycache__/base.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/distributions/__pycache__/installed.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/distributions/__pycache__/sdist.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/distributions/__pycache__/wheel.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/index/__pycache__/__init__.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/index/__pycache__/collector.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/index/__pycache__/package_finder.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/index/__pycache__/sources.cpython-38.pyc
    lib/python3.8/site-packages/pip/_internal/locations/__pycache__/__init__.cpython-38.pyc
... Tons more removed

Snapcraft offers some capabilities to solve this by use of the following keywords:
    - `filesets`
    - `stage`
    - `snap`
    - `organize`

To learn more about these part keywords, run `snapcraft help plugins`.
Run the same command again with --debug to shell into the environment if you wish to introspect this failure.

Main question What is the best way to build a snap with multiple python modules?

ANSWER

Answered 2022-Jan-18 at 17:40

It looks like the best solution is to remove the offending build files from being included by the library. The 'lib-basictest' part is the main executing script, the files generated there should be included over the SDK library versions

Here is the updated lib-pythonsdk part

  lib-pythonsdk:
    plugin: python
    source: ./iotconnect-sdk-3.0.1/
    stage:
      - -lib/python3.8/site-packages/pip/
      - -lib/python3.8/site-packages/setuptools/
      - -lib/python3.8/site-packages/wheel/
      - -lib/python3.8/site-packages/_distutils_hack
      - -lib/python3.8/site-packages/pip-21.3.1.dist-info
      - -lib/python3.8/site-packages/pkg_resources
      - -lib/python3.8/site-packages/wheel-0.37.1.dist-info
      - -bin/activate
      - -bin/activate.csh
      - -bin/activate.fish
      - -pyvenv.cfg

This is what I will go with, unless there is some 'overwrite' parameter I am missing?

Source https://stackoverflow.com/questions/70702139

QUESTION

Use different bar color in seaborn barplot

Asked 2022-Jan-30 at 19:07

I am trying to choose a specific color for each bar in the following bar plot:

Given we have the following pandas Series with variable win_corr:

fruity             -0.380938
hard               -0.310382
pluribus           -0.247448
nougat              0.199375
caramel             0.213416
crispedricewafer    0.324680
peanutyalmondy      0.406192
bar                 0.429929
chocolate           0.636517
Name: winpercent, dtype: float64

For visualization I am using the following code:

fig, ax = plt.subplots(figsize=(8,6))
ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color='deepskyblue') 
ax.set_ylabel('')    
ax.set_xlabel('Value')
plt.title('Correlation Coefficients for winpercent')
ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )
#ax[0].set_color['r'] # did not work to change the color
plt.show()

To change the color I tried the following solutions from a similar question:

color = ['black','red','green','orange','blue','limegreen','darkgreen','royalblue','navy']


fig, ax = plt.subplots(figsize=(8,6))
ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color=color) # did NOT work 
ax.set_ylabel('')    
ax.set_xlabel('Value')
plt.title('Correlation Coefficients for winpercent')
ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )

plt.show()

I have the following error message:

ValueError                                Traceback (most recent call last)
 in ()
      3 
      4 fig, ax = plt.subplots(figsize=(8,6))
----> 5 ax = sns.barplot(win_corr.values,win_corr.index, orient='h', color=color) # did NOT work
      6 ax.set_ylabel('')
      7 ax.set_xlabel('Value')

9 frames
/usr/local/lib/python3.7/dist-packages/matplotlib/colors.py in _to_rgba_no_colorcycle(c, alpha)
    269         raise ValueError(f"Invalid RGBA argument: {orig_c!r}")
    270     if len(c) not in [3, 4]:
--> 271         raise ValueError("RGBA sequence should have length 3 or 4")
    272     if not all(isinstance(x, Number) for x in c):
    273         # Checks that don't work: `map(float, ...)`, `np.array(..., float)` and

ValueError: RGBA sequence should have length 3 or 4

Thank you in advance!

ANSWER

Answered 2022-Jan-30 at 19:07

Use the palette parameter instead of color

color = ['black','red','green','orange','blue','limegreen','darkgreen','royalblue','navy']


fig, ax = plt.subplots(figsize=(8,6))
ax = sns.barplot(win_corr.values,win_corr.index, orient='h', palette=color)
ax.set_ylabel('')    
ax.set_xlabel('Value')
plt.title('Correlation Coefficients for winpercent')
ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )

plt.show()

Source https://stackoverflow.com/questions/70917937

QUESTION

Clicking `seaborn` heatmap to print metadata from that cell

Asked 2022-Jan-05 at 01:34

I have figured out how to print a matplotlib scatterplot and have the points be clicked to give graphs of other data, based on the metadata of the clicked point. I now want to apply similar thinking to a seaborn heatmap. The trouble is that the logic I used for the matplotlib plot seems to be unique to scatterplots. The loop featured here and written below would not apply to a heatmap.

import matplotlib.pyplot as plt

class custom_objects_to_plot:
    def __init__(self, x, y, name):
        self.x = x
        self.y = y
        self.name = name

a = custom_objects_to_plot(10, 20, "a")
b = custom_objects_to_plot(30, 5, "b")
c = custom_objects_to_plot(40, 30, "c")
d = custom_objects_to_plot(120, 10, "d")

def on_pick(event):
    print(event.artist.obj.name)

fig, ax = plt.subplots()
for obj in [a, b, c, d]:
    artist = ax.plot(obj.x, obj.y, 'ro', picker=5)[0]
    artist.obj = obj

fig.canvas.callbacks.connect('pick_event', on_pick)

plt.show()

To give a bit more detail, I have five subjects, each of whom rate something on ten parameters, for a total of 50 ratings. In addition to the "subject", "parameter", and "rating" columns in my data frame, there is a column for comments. I want these comments to print out when I click the heatmap that has subjects along the horizontal axis and parameters along the vertical axis.

It seems like I should be able to use the position in the heatmap to identify the subject-parameter combination and look up what comments there are by that subject for that parameter, but extracting the subject and parameter from the clicked cell eludes me, and the reference code with the custom_objects_to_plot seems not to apply to a heatmap. While I have my thoughts on how to execute this task, if only I could get the subject and parameter from the clicked cell, I welcome answers that use different approaches but still give me a clickable seaborn heatmap.

ANSWER

Answered 2022-Jan-05 at 01:34

You could try mplcursors, and use a dummy image (because the QuadMesh created by sns.heatmap isn't supported). With hover=True, the information is shown in an annotation box while hovering. With hover=False (the default) this only happens when clicking. If you just want to print something out, you can set sel.annotation.set_visible(False) and print something (or update the statusbar).

Here is an example:

import matplotlib.pyplot as plt
import mplcursors
import seaborn as sns
import pandas as pd
import numpy as np

def show_annotation(sel):
    x = int(sel.target[0])
    y = int(sel.target[1])
    sel.annotation.set_text(f's:{subjects[y]} p:{parameters[x]} r:{df_rating.iloc[y, x]}\n'
                            f'{df_comment.iloc[y, x]}')
    sel.annotation.get_bbox_patch().set(alpha=0.9)

subjects = np.arange(1, 6)
parameters = [*'ABCDEFGHIJ']
df = pd.DataFrame({'subject': np.repeat(subjects, len(parameters)),
                   'parameter': np.tile(parameters, len(subjects)),
                   'rating': np.random.randint(1, 11, len(subjects) * len(parameters)),
                   'comment': [f'comment subj {i} param {j}' for i in subjects for j in parameters]})
df_rating = df.pivot('subject', 'parameter', 'rating')
df_comment = df.pivot('subject', 'parameter', 'comment')
sns.set_style('white')
ax = sns.heatmap(df_rating, annot=True, lw=2)
dummy_image = ax.imshow(df_rating.to_numpy(), zorder=-1, aspect='auto')
cursor = mplcursors.cursor(dummy_image, hover=True)
cursor.connect('add', show_annotation)
plt.show()

Source https://stackoverflow.com/questions/70586460

QUESTION

PVlib install as an editable library to be used in PyCharm

Asked 2021-Sep-10 at 00:57

I am using PyCharm as IDE and would like to use an editable version of PVlib.

I have followed the instructions in link below and installed PVlib via conda in a virtual environment named pvlib_dev. The pvlib_dev virtual environment requires activation via conda before use and I haven't been able to link this part for PyCharm. Any feedback, suggestions would be appreciated.

https://pvlib-python.readthedocs.io/en/stable/installation.html

Thank you. Baran

ANSWER

Answered 2021-Sep-09 at 07:12

You need to select the conda virtual environment from the PyCharm project settings following these instructions: Configure a Python interpreter. Scroll down to the section on Setting an existing Python interpreter and enter the path to the python executable in your pvlib-dev conda env.

Source https://stackoverflow.com/questions/69112889

QUESTION

How to generate a PVLIB fit_desoto module with only cells_in_series as an input parameter, but which may have 2 in parallel as well?

Asked 2021-Aug-27 at 08:05

While using fit_desoto https://pvlib-python.readthedocs.io/en/stable/generated/pvlib.ivtools.sdm.fit_desoto.html

Vals=fit_sdm_desoto(v_mp, i_mp, v_oc, i_sc, alpha_sc,beta_voc,
                   cells_in_series, EgRef=1.121, dEgdT=-0.0002677,
                   temp_ref=25, irrad_ref=1000)

we typically enter the datasheet values.

However, here, only cells_in_series is an input, many other types of panels, have 60 cells in series with 2 in parallel, bringing the total to 120 cells (eg this one)

What is the correct way then to enter the information? Should we be adjusting the i_mp, i_sc etc or treating the models differently or entering 120 rather than 60. Based on the above datasheeet i would have entered

i_sc, v_oc, i_mp, v_mp, alpha_sc, beta_voc, cells_in_series, gamma_pmp

12.14,40.8, 11.54, 33.8, 0.004856, -0.102, 60, -0.34

What is the correct way to deal with cells in parallel?

ANSWER

Answered 2021-Aug-27 at 08:05

You can pretty much ignore the parallel cells for the single-diode models. Two cells that are internally connected in parallel just provide double the current of one. The parameter cells_in_series should therefore have the value 60 for this module and you do not need to change any module current or voltage values.

If ever in doubt about the number of cells (in a c-Si module), just divide Vmpp by 0.5 and you should get something close.

However, you will need to modify your temperature coefficient values. The spec sheet lists %/K and pvlib expects A/K and V/K.

Source https://stackoverflow.com/questions/68919055

QUESTION

502 Error Bad Gateway on EC2 instance (Nginx)

Asked 2021-May-26 at 10:34

I created my own AWS EC2 instance yesterday, and it was working all fine and dandy. Today I went to use it again and I received the 502 error.

(I don't know if this is the reason, but I installed some code listed here: https://blog.quantinsti.com/install-ta-lib-python/ twice. Why ? I didn't even need to do it, I'm just an idiot. It stopped working almost immediately after I did this)

This is my error log when i enter the command : sudo tail -30 /var/log/nginx/error.log

2021/05/26 00:30:53 [error] 487#487: *2 connect() failed (111: Connection refused) while connecting to upstream, clien(base(ba((b((bas(ba(ba((ba((b(b(((b((b(b((b(((b(((((((((((((((((base) (base) u(ba(base(base) ubu(

Otherwise, could it be that my memory usage is at 99.8%? Just thinking of potential problems.

Any help would be supremely appreciated.

Edit: Below is my sites available (/etc/nginx/sites-available/jupyter_app.conf):


server {
    server_name jupyter_notebook;
    listen 80;
    listen [::]:80;

    location / {
        include proxy_params;
        proxy_pass http://localhost:8888;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header Host $http_host;
        proxy_http_version 1.1;
        proxy_redirect off;
        proxy_buffering off;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection "upgrade";
        proxy_read_timeout 86400;
    }
}

ANSWER

Answered 2021-May-26 at 09:55

Check if the connection settings to upstream is correct.

Also you can check the memory usage by using:

df -h

And this will show you the disk space if the disk space is full try to delete the log files or irrelevant files and check if the site works.

Source https://stackoverflow.com/questions/67697660

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