How to group text column by date in this pandas dataframe? [duplicate] - python

This question already has answers here:
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

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How to extract data from pandas dataframe with multiple values? [duplicate]

This question already has answers here:
Use a list of values to select rows from a Pandas dataframe
(8 answers)
Closed 10 months ago.
I have a pandas dataframe containing data and a python list which contains ids. I want to extract data from the pandas dataframe which matches with the values of list.
ids = ['SW00003062', 'SW00003063', 'SW00003067', 'SW00003072']
Dataframe is this:
You can use isin
out = df[df['id'].isin(ids)]

Append only last row in a panda dataframe to a new dataframe [duplicate]

This question already has answers here:
How to get the last N rows of a pandas DataFrame?
(3 answers)
Closed 2 years ago.
I have the following panda dataframe:(df)
How can I append only the last row (Date 2021-01-22) to a new dataframe (df_new)?
df_new = df_new.append(df.tail(1))
if df_new is not defined. The following code will do it.
df_new = df.tail(1)

Python: transpose and group dataframe [duplicate]

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)

merge duplicate rows by adding a column 'count' [duplicate]

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()

How to rename an aggregate column in groupby in pandas [duplicate]

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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