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Pivot table with numpy

Elisabeth Engering answered on April 29, 2022 Popularity 9/10 Helpfulness 5/10

answer Pivot table with numpy

related pivot table in pandas

Pivot table with numpy

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import numpy as np

# Get pivit table with statistic and fill missing values
df.pivot_table(values = "weekly_sales", index = "type", aggfunc = np.sum, fill_value = 0)

# Get pivit table with multiple statistics and fill missing values
df.pivot_table(values = "weekly_sales", index = "type", aggfunc = [np.sum, np.min, np.max], fill_value = 0)

# Get pivit table with multiple statistics and variables and fill missing values
df.pivot_table(values = "weekly_sales", index = "type", aggfunc = [np.sum, np.min, np.max], columns = "store", fill_value = 0)

# Get the sum of all rows and columns in pivot table
df.pivot_table(values = "weekly_sales", index = "type", aggfunc = [np.sum, np.min, np.max], columns = "store", fill_value = 0, margins = True)

# Display DataFrame
print(df)

Popularity 9/10 Helpfulness 5/10 Language python

Source: pandas.pydata.org

Tags: numpy pivot-table python

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Contributed on Apr 29 2022

Elisabeth Engering

0 Answers Avg Quality 2/10

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pivot table in pandas

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#Determine pivot table
impute_grps = data.pivot_table(values=["LoanAmount"], index=["Gender","Married","Self_Employed"], aggfunc=np.mean)
print impute_grps

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.analyticsvidhya.com

Tags: pandas pivot-table pivot-ta

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Contributed on Mar 08 2024

Ashamed Angelfish

0 Answers Avg Quality 2/10

Pivot table with numpy

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Pivot table with numpy

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