I am totally new to python/pandas and trying to do a simple task of splitting a text field (delimited by commas) in a dataframe into multiple columns where the comma is the delimiter. The file is originally in Excel. The field is not left justified, so I left justify it using the following command:
df=df.style.set_properties(**{'text-align': 'left'})
This command does left justify the column, but it also transforms the dataframe into a Styler object, which then doesn't allow me to execute commands that I normally would on a dataframe. I did use the df=df.data command after the transformation, and that does seem to change it back to a dataframe, but the field reverts back to a right justified column. Thanks for any assistance.
I have a scenario like this where this particular column "workData" has some JSON in string form. I have to find records where Text is either empty or the Text of both objects are same. For the empty string case I can apply a where clause as WHERE workData not like '%"Text":""%' but I am clueless as to how to do the second part. Assume the table name as "workforce".
Any help will be highly appreciated.
I have a SQL query outputting a column which contains data from emails and chart conversations with lot of spaces, special characters, how can I clean and make this data show up in one row so that I could save the table output into a CSV file.
PS: the query output is in millions.
This could help. Instead of the space character use just empty quotes as the third parameter.
I'd like to create a super substitute function in excel (if there is such a thing). For my needs, nesting is insufficient because my substitution list is long.
What I'd like to do is have a named table with two columns for the function to use as a look-up for potential substitutions. The first column would contain the original text and the second would contain the replacement text.
If we look at the above example, the columns R and S consists of my table, with column R as the original text that I wanted replaced with the equivalent row entry in column S, if found in my list. My data in column V is the list that I want to work on. I want the formula in column W to look at the equivalent entry in column V and lookup in the table for any matches within the text. If there is a match, then I want that text from column R replaced with the text in column S. In some cases there can be 2 matches, as with the top example of 'LHR:JFK' which should ideally get replaced to 'LON:NYC'.
There are ways to do this with VBA but I would like to know if there is an Excel formula option for the same as I don't know where to begin with VBA.
Your help is greatly appreciated.
Thanks,
Neha
This will do as you ask:
=SUBSTITUTE(SUBSTITUTE(V2,LEFT(V2,3),IFERROR(VLOOKUP(LEFT(V2,3),R:S,2,FALSE),LEFT(V2,3))),RIGHT(SUBSTITUTE(V2,LEFT(V2,3),IFERROR(VLOOKUP(LEFT(V2,3),R:S,2,FALSE),LEFT(V2,3))),3),IFERROR(VLOOKUP(RIGHT(SUBSTITUTE(V2,LEFT(V2,3),IFERROR(VLOOKUP(LEFT(V2,3),R:S,2,FALSE),LEFT(V2,3))),3),R:S,2,FALSE),RIGHT(SUBSTITUTE(V2,LEFT(V2,3),IFERROR(VLOOKUP(LEFT(V2,3),R:S,2,FALSE),LEFT(V2,3))),3)))
I made a simple query function as this: =QUERY(range,"select *",1), in my Google Spreadsheet, but the results dose not show any letters, it shows only fields that contains numbers.
Study this link
Syntax
QUERY(data, query, [headers])
data - The range of cells to perform the query on.
Each column of data can only hold boolean, numeric (including
date/time types) or string values.
In case of mixed data types in a single column, the majority data type
determines the data type of the column for query purposes. Minority
data types are considered null values.
Just format your range as a plain text using Format > Number > Plain text option, the below images show how to do it: