Python - stock price for different stocks plotting (without yfinance)
Python - stock price for different stocks plotting (without yfinance)
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Michael W · External communityPost link
External question — Data Science Stack Exchange
Author: Michael W
Original post: https://datascience.stackexchange.com/questions/115610
License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/
Adaptation: HTML converted to plain text; contact email addresses removed.
I have a dataset which contains a few stocks in a range of dates.
I searched in internet but most of the solutions gives solutions with
yfinance
and I'm not interested in that.
This data is imported from a csv file. Without using yfinance I would like to represent it graphically i.e. x-axis
day_date
, y axis
close_value
and different lines representing different stocks.
So far
ndaq.set_index("day_date", inplace=True)
I choose
day_date
to be an index and selected only
ndaq.loc[:, ['ticker_symbol','close_value','volume']]
to shrink the data. But the graph I have plots everything as one without distinguishing through different stock names.
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Quoted from Forex.com.bd-Editorial External question — Data Science Stack Exchange Author: Michael W Source score (net votes, not local likes): 0 Original post: https://datascience.stackexchange.com/questions/115610 License: CC BY-SA 4.0 — https://creativecommons.org/licenses/by-sa/4.0/ Adaptation: HTML converted to plain text; contact email addresses removed. I have a dataset which contains a few stocks in a range of dates. I searched in internet but most of the solutions gives solutions with yfinance and I'm not interested in that. This data is imported from a csv file. Without using yfinance I would like to represent it graphically i.e. x-axis day_date , y axis close_value and different lines representing different stocks. So far ndaq.set_index("day_date", inplace=True) I choose day_date to be an index and selected only ndaq.loc[:, ['ticker_symbol','close_value','volume']] to shrink the data. But the graph I have plots everything as one without distinguishing through different stock names.
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