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Please how to delete all columns name's "NaN" in Pandas DataFrame
Try this :
df = df.loc[:, df.columns.notna()]
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Essentially, the request is to convert the wide format to normal format (may be using pandas melt and pivot function).
I have tried using pivot.
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I have the below table in excel
and want to transpose like this
I trying with excel but now doing manually pls help mi with the quick solution
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I have one data frame in python. How can I calculate the 3sigma value for each column of my data frame using python? please help me with this.
The command you're looking for is df.std() * 3
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I have dataframe like this
enter image description here
I need to find out the average close days of request Recycling
Please help me.
You can group by request and get the average.This will give average for each group
df.groupby("request")["Days to Close"].mean()
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I am using Python with Pandas. How can I multiply a column by 1000 given another column has a certain string?
This should do it.
df['columnname'] = np.where(df['othercolumn'] == 'CertainString',
df['columnname'] * 1000,
df['columnname'])