This question already has answers here:
Naming returned columns in Pandas aggregate function? [duplicate]
(6 answers)
Rename result columns from Pandas aggregation ("FutureWarning: using a dict with renaming is deprecated")
(6 answers)
Closed 4 years ago.
I'm doing a group by in a pandas dataframe, how can I change the name of the aggregate column after the group by?
df.groupby(['open_year','open_month','source']).size().reset_index()
it creates a dataframe with the following columns
open_year, open_month, CREATED_BY_REVISED, 0
I', trying to rename the last colum(0) but it doesn't work
x.rename({'0':'xyz'})
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How to combine multiple rows into a single row with pandas [duplicate]
(1 answer)
Concatenate strings from several rows using Pandas groupby
(8 answers)
Closed 1 year ago.
I have this dataframe of tweets collected with the date they were posted. I would like to know if there is any way to group these tweets by date?
For example all tweets from one day X would be on the same line in the dataframe
This question already has answers here:
How can I pivot a dataframe?
(5 answers)
Closed 2 years ago.
I have dataframe: table_revenue
how can I transpose the dataframe and have grouping by 'stations_id' to see final result as:
where values of cells is the price, aggregated by exact date (column) for specific 'station_id' (row)
It seems you need pivot_table():
output = input.pivot_table(index='station_id',columns='endAt',values='price',aggfunc='sum',fill_value=0)
This question already has answers here:
How can I pivot a dataframe?
(5 answers)
Pandas: Adding new column to dataframe which is a copy of the index column
(3 answers)
Closed 2 years ago.
I have a dataframe with 4 columns: Mes (month), Clientes (clients), Mercadorias (Assets) and Quantidade (quantity) and I'm trying to create a new dataframe grouping by the columns month and clients running the following code: data = df.groupby(['Mes','Clientes'])['Quantidade'].sum()
The output values are ok however it is creating a pandas.core.series.Series and wish to create a pandas.core.frame.DataFrame
Could someone please help me?
This question already has answers here:
Get statistics for each group (such as count, mean, etc) using pandas GroupBy?
(9 answers)
Closed 3 years ago.
I want to merge duplicate rows by adding a new column 'count'
Final dataframe that I want
rows can be in any order
You can use:
df["count"] = 1
df = df.groupby(["user_id", "item_id", "total"])["count"].count().reset_index()
This question already has answers here:
How to filter Pandas dataframe using 'in' and 'not in' like in SQL
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pandas get rows which are NOT in other dataframe
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Pandas Merging 101
(8 answers)
Closed 4 years ago.
I've 2 dataframes, df1 and df2, with an emails column (and other non important ones.)
I want to drop rows in df2 that contain emails that are already in df1.
How can I do that?
You can do something like this:
df_1[~df_1['email_column'].isin(df_2['email_column'].tolist())