lib-python | Blynk IoT library for Python and Micropython

 by   blynkkk Python Version: 0.2.6 License: MIT

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
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                                    lib-python has 0 bugs and 15 code smells.
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                                              kandi-Security 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.
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                                                            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.
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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.
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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.
                                                                                  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
                                                                                  chevron right
                                                                                  Jython - Do these two boolean statements do the same thing?
                                                                                  chevron right
                                                                                  How to get rid of the error `package has no attribute '_w_long'`?
                                                                                  chevron right
                                                                                  Python - connect two sets of dots in order
                                                                                  chevron right
                                                                                  Snapcraft python script with module, staging issues
                                                                                  chevron right
                                                                                  Use different bar color in seaborn barplot
                                                                                  chevron right
                                                                                  Clicking `seaborn` heatmap to print metadata from that cell
                                                                                  chevron right
                                                                                  PVlib install as an editable library to be used in PyCharm
                                                                                  chevron right
                                                                                  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?
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                                                                                  502 Error Bad Gateway on EC2 instance (Nginx)
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                                                                                  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)


                                                                                  Answered 2022-Mar-29 at 19:17

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

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

                                                                                  combi_df.pivot(columns='Labels', values='Number'), 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)



                                                                                  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!


                                                                                  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'



                                                                                  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

                                                                                  And the error is:

                                                                                  Remainder of file ignored
                                                                                  Traceback (most recent call last):
                                                                                    File "C:\Users\Idensas\PycharmProjects\protest\", line 1, in 
                                                                                      import matplotlib.pyplot as plt
                                                                                    File "C:\Users\Idensas\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\", line 89, in 
                                                                                      import importlib
                                                                                    File "C:\Users\Idensas\PycharmProjects\OneMoreTime\pypy\lib-python\3\importlib\", 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...


                                                                                  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.



                                                                                  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')

                                                                                  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!)


                                                                                  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



                                                                                  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 ( 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

                                                                                  ├── basictest
                                                                                  │   ├──
                                                                                  │   ├──
                                                                                  │   └──
                                                                                  ├── iotconnect-sdk-3.0.1
                                                                                  │   ├── iotconnect
                                                                                  │   │   ├── assets
                                                                                  │   │   │   ├── config.json
                                                                                  │   │   │   └── crt.txt
                                                                                  │   │   ├── client
                                                                                  │   │   │   ├──
                                                                                  │   │   │   ├──
                                                                                  │   │   │   ├──
                                                                                  │   │   │   └──
                                                                                  │   │   ├── common
                                                                                  │   │   │   ├──
                                                                                  │   │   │   ├──
                                                                                  │   │   │   ├──
                                                                                  │   │   │   └──
                                                                                  │   │   ├──
                                                                                  │   │   ├──
                                                                                  │   │   ├──
                                                                                  │   │   └── __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
                                                                                  │   ├──
                                                                                  │   ├── setup.cfg
                                                                                  │   └──
                                                                                  └── snap
                                                                                      └── snapcraft.yaml
                                                                                  9 directories, 30 files


                                                                                  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
                                                                                      command: bin/basictest
                                                                                      plugin: python
                                                                                      source: ./basictest/
                                                                                      after: [lib-pythonsdk]
                                                                                      disable-parallel: true
                                                                                      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

                                                                                  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:
                                                                                  ... 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?


                                                                                  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

                                                                                      plugin: python
                                                                                      source: ./iotconnect-sdk-3.0.1/
                                                                                        - -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/
                                                                                        - -pyvenv.cfg

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



                                                                                  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') 
                                                                                  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

                                                                                  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 
                                                                                  plt.title('Correlation Coefficients for winpercent')
                                                                                  ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )

                                                                                  I have the following error message:

                                                                                  ValueError                                Traceback (most recent call last)
                                                                                   in ()
                                                                                        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/ 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!


                                                                                  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)
                                                                                  plt.title('Correlation Coefficients for winpercent')
                                                                                  ax.bar_label(ax.containers[0], fmt= '%0.1f', label_type='center' )



                                                                                  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
                                                                                 = 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):
                                                                                  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)

                                                                                  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.


                                                                                  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([0])
                                                                                      y = int([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]}')
                                                                                  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')
                                                                                  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)



                                                                                  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.


                                                                                  Thank you. Baran


                                                                                  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.



                                                                                  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
                                                                                  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?


                                                                                  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.



                                                                                  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: 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;


                                                                                  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.


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                                                                                  Install lib-python

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                                                                                  If you’re using preferable versions of python mentioned above, then pip comes installed with Python by default. Check pip availability: pip --version
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