Python dataframe change column name
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Q.4 Why does python change the datatype of a column as soon as it stores an empty value(NaN) even though it has all other values stored as integer. Q.5 Write code statements to list the following, from a dataframe namely sales.
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Write statements to change 4th and 8th elements of this array to 5 and 87. 2. ... df1=pd.DataFrame(d1) Write the python statement using suitable functions among (apply/ apply_map / sum() / ... (column_name) counts no. of not null values present in Column_name specified where as count(*) counts total no. of rows present in the Table. g)
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Add a new column Gender in data frame Hospital . Update the Age of Kareem as 30. Add a new column Charges with extra bed which contains values as (charges +200)
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Here’s a simplified visual that shows how pandas performs “segmentation” (grouping and aggregation) based on the column values! Pandas .groupby in action. Let’s do the above presented grouping and aggregation for real, on our zoo dataframe! We have to fit in a groupby keyword between our zoo variable and our .mean() function:
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Q.4 Why does python change the datatype of a column as soon as it stores an empty value(NaN) even though it has all other values stored as integer. Q.5 Write code statements to list the following, from a dataframe namely sales. (a) List only columns Ítem’ and ‘Revenue’. (b) List rows from 3 to 7.
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pivot() is used for pivoting without aggregation. Therefor, it can’t deal with duplicate values for one index/column pair. pivot_table is a generalization of pivot that can handle duplicate values for one pivoted index/column pair. Specifically, you can give pivot_table a list of aggregation functions using keyword argument aggfunc.
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