syntax for data frames to use for 2 options [duplicate] - python

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How to use str.contains() with multiple expressions in pandas dataframes
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Pandas filtering for multiple substrings in series
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Closed 10 months ago.
I have a dataframe, df. One of the column is Text. I want to search the dataframe where the text contains ABC.
Hence, I write the code:
df["Text"].str.contains("ABC")
Now, I want to search which text contains ABC or XYZ.
What will be the syntax?


Using the | pipe is what you need
DF['Text'].str.contains('ABC|XYZ')


DF['Text'].str.contains('ABC') | DF['Text'].str.contains('XYZ')

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How to read the column using Pandas [duplicate]

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Pandas column access w/column names containing spaces
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I am trying to put a condition to print the revenue which is greater or equal to certain number using Pandas in Python.
I am using the code line" df[df.Total Revenue>=6678690.38]"
I am getting the error "SyntaxError: invalid syntax." beacuse its not taking my column name(Total Revenue) with space. So how to read column if the column header is with space?
Note = df is where I am reading my file

this should work
df[df['Total Revenue']>=6678690.38]

String replace() vs string translate() method [duplicate]

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I have a question regarding my code below:
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How to can I get the opposite values to between? [duplicate]

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Hi I am trying to get the opposite values to between
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Thanks

You can use the ~ to negate.
x[~x.between(x.quantile(0.25), x.quantile(0.75))]

How to refer to a variable name with spaces in Python? [duplicate]

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Pandas column access w/column names containing spaces
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How would I deal with this? The variable "residual sugar" has a space, other than don't use variables with spaces (not my data).
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Convert DataFrame into dict [duplicate]

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I use pandas to read df.csv, so I have a Dataframe Like this,
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http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.to_dict.html
try :
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