Installing Spyder (updated for 2018)

Installing Spyder (updated for 2018)

By : user2172413
Date : October 23 2020, 08:10 PM
will be helpful for those in need Try to install Anaconda (anaconda.org) - spyder is included, also almost all packages you'll need
code :

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Installing spyder for python3 on mac

Installing spyder for python3 on mac

By : 朱泳嘉
Date : March 29 2020, 07:55 AM
I wish this helpful for you I am very frustrated. It seems I don't understand a very basic concept of this installing and can't find an answer. , (Spyder developer here)
Switch Spyder Environment without installing spyder at each environment

Switch Spyder Environment without installing spyder at each environment

By : Anudeep B
Date : March 29 2020, 07:55 AM
hop of those help? (Spyder maintainer here) We added some improvements in our 3.3 versions to help users deal more easily with multiple environments. Please see this blog post for the details, in particular the section called Even more fixes and refinements with Spyder 3.3.1.
Note: A little bug that affects this surfaced after we released 3.3.1, just in case you find that problem too. A fix will be available in 3.3.2, and more improvements on how to handle conda environments are planned for Spyder 4, to be released in 2019.
Python Pandas: Convert Date to Text e.g. Aug 2018 --> 08-2018 or 01-08-2018

Python Pandas: Convert Date to Text e.g. Aug 2018 --> 08-2018 or 01-08-2018

By : Shubham Nayyar
Date : March 29 2020, 07:55 AM
hop of those help? Convert Date e.g. Aug 2018 --> 01-08-2018 ?? , Here's a solution.
code :
import pandas as pd
import numpy as np
from datetime import datetime

# creating the sample dataframe
df = pd.DataFrame([[0.57, 'Aug 2018 - Nov 2018'], 
                   [0.11, 'Jul 2017 - Oct 2017']], 
                   columns=['id', 'year_pass'])

# splitting the date column on the '-'
year_start, year_end = df['year_pass'].str.split('-')
df.drop('year_pass', axis=1, inplace=True)

# assigning the split values to columns
df['year_start'] = year_start
df['year_end'] = year_end

# converting to datetime objects
df['year_start'] = pd.to_datetime(df['year_start'])
df['year_end'] = pd.to_datetime(df['year_end'])
Installing IbPy to be used in spyder (anaconda)

Installing IbPy to be used in spyder (anaconda)

By : Mking
Date : March 29 2020, 07:55 AM
Does that help I have installed Anaconda and currently using Spyder IDE. , You need to install it from github. Use the following.
Installing spyder in python 3.5.0

Installing spyder in python 3.5.0

By : Gustavo Oliveira
Date : March 29 2020, 07:55 AM
I wish this helpful for you I had the same issues, when installing spyder with pip. I could not quite figure out what exactly was causing the problem, but the quick fix for me was creating a new anaconda environment and installing spyder with conda install. Hope it helps
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