logo
down
shadow

The PyData Ecosystem


The PyData Ecosystem

Content Index :

The PyData Ecosystem
Tag : python , By : brij
Date : November 25 2020, 01:01 AM


Comments
No Comments Right Now !

Boards Message :
You Must Login Or Sign Up to Add Your Comments .

Share : facebook icon twitter icon

pydata blaze: does it allow parallel processing or not?


Tag : python , By : Sonal
Date : March 29 2020, 07:55 AM
wish help you to fix your issue Note: The example below requires the latest version of blaze, which you can get via
conda install -c blaze blaze
pip install git+git://github.com/ContinuumIO/into.git
In [28]: from blaze import Data, compute

In [29]: ls -d *.bcolz
all.bcolz/  fare.bcolz/ trip.bcolz/

In [30]: d = Data('all.bcolz')

In [31]: d.head(5)
Out[31]:
                          medallion                      hack_license  \
0  89D227B655E5C82AECF13C3F540D4CF4  BA96DE419E711691B9445D6A6307C170
1  0BD7C8F5BA12B88E0B67BED28BEA73D8  9FD8F69F0804BDB5549F40E9DA1BE472
2  0BD7C8F5BA12B88E0B67BED28BEA73D8  9FD8F69F0804BDB5549F40E9DA1BE472
3  DFD2202EE08F7A8DC9A57B02ACB81FE2  51EE87E3205C985EF8431D850C786310
4  DFD2202EE08F7A8DC9A57B02ACB81FE2  51EE87E3205C985EF8431D850C786310

  vendor_id  rate_code store_and_fwd_flag     pickup_datetime  \
0       CMT          1                  N 2013-01-01 15:11:48
1       CMT          1                  N 2013-01-06 00:18:35
2       CMT          1                  N 2013-01-05 18:49:41
3       CMT          1                  N 2013-01-07 23:54:15
4       CMT          1                  N 2013-01-07 23:25:03

     dropoff_datetime  passenger_count  trip_time_in_secs  trip_distance  \
0 2013-01-01 15:18:10                4                382            1.0
1 2013-01-06 00:22:54                1                259            1.5
2 2013-01-05 18:54:23                1                282            1.1
3 2013-01-07 23:58:20                2                244            0.7
4 2013-01-07 23:34:24                1                560            2.1

     ...     pickup_latitude  dropoff_longitude  dropoff_latitude  \
0    ...           40.757977         -73.989838         40.751171
1    ...           40.731781         -73.994499         40.750660
2    ...           40.737770         -74.009834         40.726002
3    ...           40.759945         -73.984734         40.759388
4    ...           40.748528         -74.002586         40.747868

   tolls_amount  tip_amount  total_amount  mta_tax  fare_amount  payment_type  \
0             0           0           7.0      0.5          6.5           CSH
1             0           0           7.0      0.5          6.0           CSH
2             0           0           7.0      0.5          5.5           CSH
3             0           0           6.0      0.5          5.0           CSH
4             0           0          10.5      0.5          9.5           CSH

  surcharge
0       0.0
1       0.5
2       1.0
3       0.5
4       0.5

[5 rows x 21 columns]
In [32]: from multiprocessing import Pool

In [33]: p = Pool()

In [34]: %timeit -n 1 -r 1 values = compute(trip.medallion.distinct())
1 loops, best of 1: 1min per loop

In [35]: %timeit -n 1 -r 1 values = compute(trip.medallion.distinct(), map=p.map)
1 loops, best of 1: 16.2 s per loop
In [38]: %timeit -n 1 -r 1 values = compute(trip.passenger_count.distinct())
1 loops, best of 1: 3.33 s per loop

In [39]: %timeit -n 1 -r 1 values = compute(trip.passenger_count.distinct(), map=p.map)
1 loops, best of 1: 1.01 s per loop

to make pydata handle string columns


Tag : pandas , By : Vodkat
Date : March 29 2020, 07:55 AM
around this issue I have a dataframe that has a few columns with floats and a few columns that are string. All columns have nan. The string columns have either strings or nan which appear to have a type float. When I try to 'df.to_hdf' to store the dataframe, I get the following error: , You can fill each column with the appropriate missing value. E.g.
import pandas as pd
import numpy as np

col1 = [1.0, np.nan, 3.0]
col2 = ['one', np.nan, 'three']

df = pd.DataFrame(dict(col1=col1, col2=col2))
df['col1'] = df['col1'].fillna(0.0)
df['col2'] = df['col2'].fillna('')

df.to_hdf('eg.hdf', 'eg')

Rails/Laravel ecosystem equivalent in Javascript/NodeJS ecosystem?


Tag : javascript , By : stu73
Date : March 29 2020, 07:55 AM
Does that help The most used JS stack is the MEAN stack: MongoDB, Express, Angular, and Node. You can find two popular frameworks here:
mean.io meanjs.org

Where is the pydata BLAZE project heading?


Tag : development , By : ArdentRogue
Date : March 29 2020, 07:55 AM
it fixes the issue I can give some part of the picture, although others were more involved. Blaze was both an umbrella project for incubating data-engineering ideas into released oss packages, and a package itself focussing on symbolic manipulations of data-frames and translating these into various backend execution engines, particularly database services. Critically, Blaze wanted to be the (start of a) solution for a very broad range of problems! In particular, the translation layer became very large and hard to maintain and by trying to cater to all, limited the range of operations that the symbolic layer could offer.
In terms of an umbrella project, Blaze was a success. Many ideas that started in Blaze percolated into the ecosystem. Probably the most prominent single project to come out of Blaze is Dask, which, while originally planned as an execution layer for Blaze, implements an even larger API of data-frame operations, as well as other high-level collections and arbitrary graph manipulation. Even fully symbolic optimisations exist in Dask, though this is perhaps not as complete. Other Anaconda-stable projects such as numba and bokeh were influenced by the Blaze effort, but I'll not talk about them here.

Not able to get PyData Berlin 2018 Rasa Chatbot ipynb working


Tag : development , By : Chris Tattum
Date : March 29 2020, 07:55 AM
wish help you to fix your issue In a jupyter notebook you can execute shell commands by adding '!' infront of the command. For example, you can run:
! rasa train
from IPython.display import IFrame
IFrame("http://localhost:8888/terminals/2", width=1000, height=500)
Related Posts Related QUESTIONS :
  • Joining a directory name with a binary file name
  • python, sort list with two arguments in compare function
  • Is it possible to print from Python using non-ANSI colors?
  • Pandas concat historical data using date minus some number of days
  • CV2: Import Error in Python OpenCV
  • Is it possible to do this loop in a one-liner?
  • invalid literal for int() with base 10: - django
  • Why does my code print a value that I have not assigned as yet?
  • the collatz func in automate boring stuff with python
  • How to find all possible combinations of parameters and funtions
  • about backpropagation deep neural network in tensorflow
  • Sort strings in pandas
  • How do access my flask app hosted in docker?
  • Replace the sentence include some text with Python regex
  • Counting the most common element in a 2D List in Python
  • logout a user from the system using a function in python
  • mp4 metadata not found but exists
  • Django: QuerySet with ExpressionWrapper
  • Pandas string search in list of dicts
  • Decryption from RSA encrypted string from sqlite is not the same
  • need of maximum value in int
  • a list of several tuples, how to extract the same of the first two elements in the small tuple in the large tuple
  • Display image of 2D Sinewaves in 3D
  • how to prevent a for loop from overwriting a dictionary?
  • How To Fix: RuntimeError: size mismatch in pyTorch
  • Concatenating two Pandas DataFrames while maintaining index order
  • Why does this not run into an infinite loop?
  • Python Multithreading no current event loop
  • Element Tree - Seaching for specific element value without looping
  • Ignore Nulls in pandas map dictionary
  • How do I get scrap data from web pages using beautifulsoup in python
  • Variable used, golobal or local?
  • I have a regex statement to pull all numbers out of a text file, but it only finds 77 out of the 81 numbers in the file
  • How do I create a dataframe of jobs and companies that includes hyperlinks?
  • Detect if user has clicked the 'maximized' button
  • Does flask_login automatically set the "next" argument?
  • Indents in python 3
  • How to create a pool of threads
  • Pandas giving IndexError on one dataframe but not on another similar dataframe
  • Django Rest Framework - Testing client.login doesn't login user, ret anonymous user
  • Running dag without dag file in airflow
  • Filling across a specified dimension of a numpy array
  • Python populating dataframe in pandas from text files
  • How to interpolate a single ("non-piecewise") cubic spline from a set of data points?
  • Divide 2 integers (leetcode 29) - recursion issue
  • Can someone explain why do I get this output in Python?
  • How do I scrape pdf and html from search results without obvious url
  • Is there a way to automatically make a "collage" of plots with matplotlib?
  • How to combine multiple rows in pandas with shared column values
  • How do I get LOAD_CLASSDEREF instruction after dis.dis?
  • Django - How to add items to Bootstrap dropdown?
  • Linear Regression - Does the below implementation of ridge regression finding coefficient term using gradient method is
  • How to drop all rows in pandas dataframe with negative values?
  • Most Efficient Way to Find Closest Date Between 2 Dataframes
  • Execution error when Passing arguments to a python script using os.system. The script takes sys.argv arguments
  • Looping through a function
  • Create a plot for each unique ID
  • a thread python with 'while' got another thread never start
  • Solution from SciPy solve_ivp contains oscillations for a system of first-order ODEs
  • trigger python events driven by selenium controlled browser
  • shadow
    Privacy Policy - Terms - Contact Us © scrbit.com