My understanding is that this question is better answered over in this post. But briefly, the answer to the OP with this method is simply: s1 = pd.merge(df1, df2, how=’inner’, on=[‘user_id’]) Which gives s1 with 5 columns: user_id and the other two columns from each of df1 and df2.
Both pivot_table and groupby are used to aggregate your dataframe. The difference is only with regard to the shape of the result. Using pd.pivot_table(df, index=[“a”], columns=[“b”], values=[“c”], aggfunc=np.sum) a table is created where a is on the row axis, b is on the column axis, and the values are the sum of c. Example: df … Read more
When sorting by a MultiIndex you need to contain the tuple describing the column inside a list*: In [11]: df.sort_values([(‘Group1’, ‘C’)], ascending=False) Out[11]: Group1 Group2 A B C A B C 2 5 6 9 1 0 0 1 1 0 3 2 5 7 3 7 0 2 0 3 5 * so as … Read more
Index is an object, and default index starts from 0: >>> result.index Int64Index([0, 1, 2], dtype=int64) You can shift this index by 1 with >>> result.index += 1 >>> result.index Int64Index([1, 2, 3], dtype=int64)
Create a list with your dictionaries, if they are needed, and then create a new dataframe with df = pd.DataFrame.from_records(your_list). List’s “append” method are very efficient and won’t be ever deprecated. Dataframes on the other hand, frequently have to be recreated and all data copied over on appends, due to their design – that is … Read more
Update From v0.24.0 onwards, you can merge on DataFrame and Series as long as the Series is named. df.merge(s.rename(‘new’), left_index=True, right_index=True) # If series is already named, # df.merge(s, left_index=True, right_index=True) Nowadays, you can simply convert the Series to a DataFrame with to_frame(). So (if joining on index): df.merge(s.to_frame(), left_index=True, right_index=True)
We can use loc to reorder by passing a list: In [27]: # get a list of columns cols = list(df) # move the column to head of list using index, pop and insert cols.insert(0, cols.pop(cols.index(‘Mid’))) cols Out[27]: [‘Mid’, ‘Net’, ‘Upper’, ‘Lower’, ‘Zsore’] In [28]: # use ix to reorder df = df.loc[:, cols] df … Read more
Try the following: df[df[‘Col2’].isnull()]
results.show(20, false) will not truncate. Check the source 20 is the default number of rows displayed when show() is called without any arguments.
Below are given various options on how to convert an uploaded file to FastAPI into a Pandas DataFrame. If you would also like to convert the DataFrame into JSON and return it to the client, have a look at this answer. If you would like to use an async def endpoint instead of def, please … Read more