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This article mainly introduces how to use Query in pandas. It is very detailed and has a certain reference value. Friends who are interested must finish it!

Query

Query is the filtering query function of pandas, which uses Boolean expressions to query the columns of DataFrame, that is, to filter according to the rules of the columns.

Usage:

Pandas.DataFrame.query (self, expr, inplace = False, * * kwargs)

Parameter function:

Expr: query string to evaluate

Inplace=False: whether the query should modify the data or return the modified copy

Kwargs:dict keyword parameter

First, generate a df:

Values_1 = np.random.randint (10, size=10) values_2 = np.random.randint (10, size=10) years = np.arange (2010) groups = ['group':groups,' year':years, 'value_1':values_1,' value_2':values_2}) df

Filtering queries are easy to use, such as looking up the row records of the column value_1=2016:

Df.query ('year > = 2016')

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