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VLOOKUP in Python and Pandas using .map() or .merge() - datagy
https://datagy.io/vlookup-in-python-and-pandas-using-map-or-merge/
Jan 28, 2020 · In this tutorial, you’ll learn how to use Python and Pandas to VLOOKUP data in a Pandas DataFrame. VLOOKUPs are common functions in Excel that allow you to map data from one table to another. In many cases, this can be used to lookup data from a reference table, such as mapping in, say, a town’s region or a client’s gender.
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Pandas DataFrame: lookup() function - w3resource
https://www.w3resource.com/pandas/dataframe/dataframe-lookup.php
Aug 19, 2022 · DataFrame - lookup() function. The lookup() function returns label-based "fancy indexing" function for DataFrame. Given equal-length arrays of row and column labels, return an array of the values corresponding to each (row, col) pair. Syntax: DataFrame.lookup(self, row_labels, col_labels) Parameters:
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How to Look-up values in Pandas dataframe - Stack Overflow
https://stackoverflow.com/questions/60274038/how-to-look-up-values-in-pandas-dataframe
Feb 18, 2020 · To get the price, you can use df.loc to locate the price column. df_AAPL_price = df_AAPL.loc[:,"Price"] To get the price when "Ticker" == "AAPL" on a certain date (assuming your date is in str), you can use a lambda function and apply it …
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How to Do a vLookup in Python using pandas - GeeksforGeeks
https://www.geeksforgeeks.org/how-to-do-a-vlookup-in-python-using-pandas/
Aug 6, 2021 · How to Do a vLookup in Python using pandas. Vlookup is essentially used for vertically arranged data. Vlookup is an operation used to merge 2 different data tables based on some condition where there must be at least 1 common attribute (column) between the two tables.
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pandas.DataFrame.lookup — pandas 1.3.2 documentation
https://pandas.pydata.org/pandas-docs/version/1.3.2/reference/api/pandas.DataFrame.lookup.html
DataFrame.lookup(row_labels, col_labels) [source] ¶. Label-based “fancy indexing” function for DataFrame. Given equal-length arrays of row and column labels, return an array of the values corresponding to each (row, col) pair. Deprecated since version 1.2.0: DataFrame.lookup is deprecated, use DataFrame.melt and DataFrame.loc instead.
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Using a pandas dataframe as a lookup table - Stack Overflow
https://stackoverflow.com/questions/50002345/using-a-pandas-dataframe-as-a-lookup-table
Apr 24, 2018 · Using a pandas dataframe as a lookup table. Ask Question. Asked 5 years, 10 months ago. Modified 5 years, 10 months ago. Viewed 3k times. 3. Given a single row from dataframe X, what is the most efficient way to retrieve all rows from dataframe Y that completely match the query row? Example: querying row [0,1,0,1] from. [0,1,0,1, 1.0],
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pandas.DataFrame.loc — pandas 2.2.1 documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.loc.html
.loc [] is primarily label based, but may also be used with a boolean array. Allowed inputs are: A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index, and never as an integer position along the index). A list or array of labels, e.g. ['a', 'b', 'c']. A …
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Pandas lookup from one of multiple columns, based on value
https://stackoverflow.com/questions/25935431/pandas-lookup-from-one-of-multiple-columns-based-on-value
Sep 19, 2014 · You create a lookup function and call apply on your dataframe row-wise, this isn't very efficient for large dfs though In [245]: def lookup(x): return x[x.best] df['value'] = df.apply(lambda row: lookup(row), axis=1) df Out[245]: Date best a b c d value 0 1990 a 5 4 7 2 5 1 1991 c 10 1 2 0 2 2 1992 d 2 1 4 12 12 3 1993 a 5 8 11 6 5
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pandas.DataFrame.lookup — pandas 0.18.1 documentation
https://pandas.pydata.org/pandas-docs/version/0.18/generated/pandas.DataFrame.lookup.html
DataFrame.lookup(row_labels, col_labels) ¶. Label-based “fancy indexing” function for DataFrame. Given equal-length arrays of row and column labels, return an array of the values corresponding to each (row, col) pair. Parameters: row_labels : …
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pandas.DataFrame.lookup — pandas 0.24.2 documentation
https://pandas.pydata.org/pandas-docs/version/0.24/reference/api/pandas.DataFrame.lookup.html
Parameters: row_labels : sequence. The row labels to use for lookup. col_labels : sequence. The column labels to use for lookup. Notes. Akin to: result = [df.get_value(row, col) for row, col in zip(row_labels, col_labels)] Examples. values : ndarray. The found values.
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