pandas describe of describe
Question:
I have a DataFrame and there are two columns. One of it is the names and another one is some number. I need to count mean of it for every unique name.
Tried .describe(), but it shows only for all DataFrame, not a unique names. If anyone could help, I would be thankful.
Answers:
You can group your data by name and calculate the mean for each group using the ‘groupby’ method in pandas. Here’s an example assuming your DataFrame is called ‘df’ and your columns are called "name" and "number":
grouped = df.groupby('name')
means = grouped['number'].mean()
This will give you a pandas Series object with the mean for each unique name in the "name" column.
I have a DataFrame and there are two columns. One of it is the names and another one is some number. I need to count mean of it for every unique name.
Tried .describe(), but it shows only for all DataFrame, not a unique names. If anyone could help, I would be thankful.
You can group your data by name and calculate the mean for each group using the ‘groupby’ method in pandas. Here’s an example assuming your DataFrame is called ‘df’ and your columns are called "name" and "number":
grouped = df.groupby('name')
means = grouped['number'].mean()
This will give you a pandas Series object with the mean for each unique name in the "name" column.