pandas-datareader | Extract data from a wide range of Internet sources into a pandas DataFrame | Data Visualization library
kandi X-RAY | pandas-datareader Summary
kandi X-RAY | pandas-datareader Summary
Extract data from a wide range of Internet sources into a pandas DataFrame.
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- Get data reader .
- Return a dict containing the command - line arguments .
- Return a list of git pieces from VCS .
- Create the versioneer config file .
- Return call data .
- Reads SDMX file .
- Read all available boards .
- Determine git version from keywords .
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- Get data from Yahoo Components .
pandas-datareader Key Features
pandas-datareader Examples and Code Snippets
data = pd.read_csv('D 2019.csv', parse_dates=[['Date', 'Time']], dayfirst=True)
# -------------
>>> data['Date_Time'].dt.month
# 0 12
# 1
tickers = ['^GSPC', '^IXIC', '^GDAXI']
data = []
for t in tickers:
sr = wb.DataReader(t, data_source='yahoo', start='1997-1-1')['Adj Close']
sr = sr[~sr.index.duplicated()].rename(t)
data.append(sr)
df = pd.concat(data, a
start=dt.datetime(2010,1,1)
end=dt.datetime(2017,1,1)
df = yf.download(tickers=['^GSPC'], start=start, end=end)
conda install pandas_datareader
!conda install pandas_datareader
data["start_week"] = bike_data["start_time"].dt.week
data = pd.read_csv(file, usecols = [0,1,2,3,4],delimiter=";", decimal=",",thousands=".", header=None)
pip install pandas-datareader
import pandas_datareader
from pandas_datareader import data
df=data.DataReader('AAPL','yahoo','2016/1/1','2017/1/1')
df.head()
!pip show pandas_datareader
!pip install --upgrade pandas_datareader
Press Runtime->Restart runtime
!pip show pandas_datareader
alb = web.DataReader('ALB', 'yahoo', '01.01.2020', '01.01.2021')
bmw = web.DataReader('BMW.DE', 'yahoo', '01.01.2020', '01.01.2021')
eurusd = web.data.DataReader('EURUSD%3DX', 'yahoo', '01.01.2020', '01.01.2021')
#
Community Discussions
Trending Discussions on pandas-datareader
QUESTION
I try to load data using web.DataReader but I always get the error "RemoteDataError: Unable to read URL: https://finance.yahoo.com/quote/FB/history?period1=1325390400&period2=1577937599&interval=1d&frequency=1d&filter=history".
I already used the following package updates and my code worked fine yesterday. However today I still get the same error as before (i.e., unable to read URL).
...ANSWER
Answered 2022-Mar-23 at 19:01If anyone faces the same issue as mine, I just found out how to solve it!
Adapt this piece of code in your notebook:
QUESTION
Having trouble getting Pandas data reader to retrieve price quotes from Yahoo’s API. The most up to date answer seems to be:
"pip install --upgrade pandas pip install --upgrade pandas-datareader
However, for the time being I will be using Google Collab and its Python platform, does anyone know how to update the pandas here? Or has the API truly just been discontinued?
...ANSWER
Answered 2022-Mar-09 at 19:00In Colab you need to put a !
before pip
QUESTION
import matplotlib.pyplot as plt
plt.plot([1,2,3])
plt.show()
input("Press enter to continue...")
...ANSWER
Answered 2021-Nov-03 at 13:32As of late, conda and matplotlib
have been having issues.
You can try to downgrade freetype from 2.11.0 to 2.10.4 by doing conda install freetype=2.10.4
QUESTION
data source: https://catalog.data.gov/dataset/nyc-transit-subway-entrance-and-exit-data
I tried looking for a similar problem but I can't find an answer and the error does not help much. I'm kinda frustrated at this point. Thanks for the help. I'm calculating the closest distance from a point.
...ANSWER
Answered 2021-Oct-11 at 14:21geopandas 0.10.1
- have noted that your data is on kaggle, so start by sourcing it
- there really is only one issue
shapely.geometry.MultiPoint()
constructor does not work with a filtered series. Pass it a numpy array instead and it works. - full code below, have randomly selected a point to serve as
gpdPoint
QUESTION
I know there is a command pip show
for the purpose but I would like to know whether it is possible I can fetch details by doing import pip
? When you run pip show
it gives info like:
ANSWER
Answered 2021-Aug-11 at 09:05Playing with pip source code, I found the following solution which works for Python 3.8.1 and pip 21.0.1 .
QUESTION
Problem description:
I'm trying to read historical stock prices from CSV format into pandas Dataframe, but one funny thing I have noticed so far - when reading certain row numbers, the dates column type is changed from pandas.Timestamp
into datetime
- how does that work? How can I read pandas.Timestamp
then?
Minimum reproduction example:
I have inspected my CSV file, and here is a minimal needed data example from it.
...ANSWER
Answered 2021-Apr-15 at 01:18You can specify which date_parser
function to be used:
QUESTION
All of my virtual environments work fine, except for one in which the jupyter notebook won't connect for kernel. This environment has Zipline in it, so I expect there is some dependency that is a problem there, even though I installed all packages with Conda.
I've read the question and answers here, and unfortunately downgrading tornado to 5.1.1 didn't work nor do I get ValueErrors. I am, however, getting an AssertionError that appears related to the Class NSProcessInfo.
I'm on an M1 Mac. Log from terminal showing the error below, and my environment file is below that. Can someone help me get this kernel working? Thank you!
...ANSWER
Answered 2021-Apr-04 at 18:14Figured it out.
What works:
QUESTION
I attempted to update pandas_datareader
on my Python 3.5.2 virtual Environment using Anaconda like this:
ANSWER
Answered 2021-Mar-31 at 19:41At the end, I ended up solving this by rolling back the changes I made using conda list --revisions
to find out until which previous set up I had to roll back to, then afterwards I ran conda install --revision N
(where N is the revision you want to trace back to). Suppose the changes you made are rev 4
, you want to undo them, and sit back again under rev 3
(your previously "known and working" environment you had), so you run conda install --revision 3
for that case.
Afterwards I re-installed pandas_datareader
with python -m pip install pandas-datareader
and everything went good again.
Thanks anyways and I hope if someone else runs into this issue, can find this post valuable.
QUESTION
I had problems with pandas-datareader
package v0.81. To fix my problem, I had to upgrade the package to a newer version 0.9 by running the following command;
ANSWER
Answered 2020-Dec-21 at 22:17Conda is sufficiently powerful to parse minimum versions, and it remembers that they've been specified. If you would prefer 0.9 as the minimum, then you just need to say so with
QUESTION
I installed the package using the command line
...ANSWER
Answered 2020-Dec-09 at 07:10Have you tried to do in the command line of anaconda (Anaconda CMD)
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pandas-datareader
You can use pandas-datareader like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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