pandas-datareader
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pydata
Extract data from a wide range of Internet sources into a pandas DataFrame.
When using pandas_datareader to pull time series from tiingo I get the following error: `~/.local/lib/python3.9/site-packages/pandas_datareader/tiingo.py:234: FutureWarning: In a future version of pandas all arguments of concat except for the argument...
- [ ] closes #xxxx - [x] tests added / passed - [ ] passes `git diff upstream/master -u -- "*.py" | flake8 --diff` - [x] passes `black --check pandas_datareader`...
I'm using this package for an algobot to download daily close prices after the market closes to perform calculations to determine whether to buy or sell. My bot gets run...
I'm using sandboxed (test) data from IEX which is being pulled from https://sandbox.iexapis.com and the `pandas_datareader()` function isn't taking those in consideration. I've looked at the code and in the...
thanks for a great module! My issue may be ‘hidden’ under another ticker or not an issue at all. If so, please let me know. I found a ticker which...
Hello Seems like yahoo is returning prices with more precision than it should. In the webpage they are displayed with tow decimals but in the html we can see extra...
Hi, There is a recurrent error with the yahoo data reader, although checking their source page, the information for prices is populated, the yahoo data reader is finding it empty:...
if I call this "STLABOUR/FRA+ITA.LRHUTTTT.STSA.M" ``` import pandas_datareader.data as web df = web.DataReader('STLABOUR/FRA+ITA.LRHUTTTT.STSA.M', 'oecd') ``` i get the following error: `pandas_datareader._utils.RemoteDataError: Unable to read URL: http://stats.oecd.org/SDMX-JSON/data/STLABOUR/ENG+FRA+ITA.LRHUTTTT.STSA.M/all/all? Response Text: b'Semantic Error...
import streamlit as st st.title("Real-time Stock Price Data") a = st.text_input("Enter Any Company >>:") data = web.DataReader(name=a, data_source='yahoo', start=start_date, end=end_date) fig, ax = plt.subplots() ax = data["Close"].plot(figsize=(12, 8), title=a+" Stock...
Yfinance is generating only the last few days from my date range from 13 Sept - now. Can anyone help fix this issue? import numpy as np import pandas as...
