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If it's a sql server database, it's better to use Pivot to change column and row.The n largest elements where n=3 and keeping the last duplicates. Brunei will be kept since it is the last with value 434000 based on the index order. >>> s. nlargest (3, keep = 'last') France 65000000 Italy 59000000 Brunei 434000 dtype: int64 import pandas as pd df = pd.read_csv("test.csv") for i in range(0, len(df)): slct = df.head(10) result = slct['Brick'].reshape(2,5) print result. You need to make use of the modulo operator to "batch" reshape your column. You're on the right track.

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print(df). C:\pandas>python example40.py. Add new column to DataFrame. Get list of the column headers. Generate DataFrame with random values. Select multiple columns from DataFrame.Oct 04, 2017 · When sort = True is passed to groupby (which is by default) the groups will be in sorted order. If you loop through them they are in sorted order, if you compute the mean, std... they are in sorted order but if you use the method head th... The tutorial uses Python 3 and pandas , a data analysis toolkit for Python that's widely used in the scientific and business communities. To install pandas, see the instructions on the pandas website. You'll also need OpenPyXL , a third-party library that pandas uses for reading and writing Excel files.

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Nov 28, 2013 · GroupBy.count() (with the default as_index=True) return the grouping column both as index and as column, while other methods as first and sum keep it only as the index (which is most logical I think).

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Jan 26, 2019 · Pandas DataFrames can sometimes be very large, making it absurd to look at all the rows at once. You can use .head() to show the first few elements and .tail() to show the last few elements. Each column of the Pandas DataFrame is an instance of Pandas Series, a structure that contains one-dimensional data and their labels. You can get a single ... If not specified, uses all columns that are not set as id_vars. var_name scalar. Name to use for the ‘variable’ column. If None it uses frame.columns.name or ‘variable’. value_name scalar, default ‘value’ Name to use for the ‘value’ column. col_level int or str, optional. If columns are a MultiIndex then use this level to melt.